{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Clarifai analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/clarifai","json_url":"https://onlylabs.fyi/analysis/clarifai/evidence.json","generated_at":"2026-06-11T18:07:28.308Z","org":{"slug":"clarifai","name":"Clarifai","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/clarifai"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":98,"web":0,"evidence":88,"signal_desks":{"hiring":0,"forks":8,"releases":34,"talking":0,"repos":18},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Clarifai/kubernetes repository metadata","date":"2026-06-11T04:19:15.734065+00:00","date_source":null,"source_url":"https://github.com/Clarifai/kubernetes","signal_url":null,"signal_json_url":null,"text":"# Clarifai/kubernetes\n\nDescription: Container Cluster Manager from Google\n\nLanguage: Go\n\nLicense: Apache-2.0\n\nStars: 2\n\nForks: 1\n\nOpen issues: 13\n\nCreated: 2016-01-06T22:19:11Z\n\nPushed: 2023-08-30T14:08:04Z\n\nDefault branch: master\n\nFork: yes\n\nParent repository: kubernetes/kubernetes\n\nArchived: yes\n\nREADME:\n# Kubernetes (K8s)\n\n[![GoPkg Widget]][GoPkg] [](https://bestpractices.coreinfrastructure.org/projects/569)\n\n![](\"https://github.com/kubernetes/kubernetes/raw/master/logo/logo.png\")
\n\n----\n\nKubernetes, also known as K8s, is an open source system for managing [containerized applications]\nacross multiple hosts. It provides basic mechanisms for deployment, maintenance,\nand scaling of applications.\n\nKubernetes builds upon a decade and a half of experience at Google running\nproduction workloads at scale using a system called [Borg],\ncombined with best-of-breed ideas and practices from the community.\n\nKubernetes is hosted by the Cloud Native Computing Foundation ([CNCF]).\nIf your company wants to help shape the evolution of\ntechnologies that are container-packaged, dynamically scheduled,\nand microservices-oriented, consider joining the CNCF.\nFor details about who's involved and how Kubernetes plays a role,\nread the CNCF [announcement].\n\n----\n\n## To start using K8s\n\nSee our documentation on [kubernetes.io].\n\nTry our [interactive tutorial].\n\nTake a free course on [Scalable Microservices with Kubernetes].\n\nTo use Kubernetes code as a library in other applications, see the [list of published components](https://git.k8s.io/kubernetes/staging/README.md).\nUse of the `k8s.io/kubernetes` module or `k8s.io/kubernetes/...` packages as libraries is not supported.\n\n## To start developing K8s\n\nThe [community repository] hosts all information about\nbuilding Kubernetes from source, how to contribute code\nand documentation, who to contact about what, etc.\n\nIf you want to build Kubernetes right away there are two options:\n\n##### You have a working [Go environment].\n\n```\nmkdir -p $GOPATH/src/k8s.io\ncd $GOPATH/src/k8s.io\ngit clone https://github.com/kubernetes/kubernetes\ncd kubernetes\nm"},{"ref":"P2","kind":"page","title":"Clarifai/clarifai-python repository metadata","date":"2026-06-11T04:09:17.762721+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-python","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-python\n\nDescription: Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 44\n\nForks: 9\n\nOpen issues: 12\n\nCreated: 2014-05-30T15:10:36Z\n\nPushed: 2026-05-28T12:40:30Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n![\"Clarifai\"](\"https://github.com/user-attachments/assets/623b883b-7fe5-4b95-bbfa-8691f5779af4\" "\\"Clarifai\\"")
\n
\n\n\nClarifai Python SDK\n
\n\n\n ![\"Discord\"](\"https://img.shields.io/discord/1145701543228735582\")
\n\n ![\"PyPI](\"https://img.shields.io/pypi/dm/clarifai\")
\n\n ![\"PyPI](\"https://img.shields.io/pypi/pyversions/clarifai\")
\n\n
\n\nThis is the official Python client for interacting with our powerful [API](https://docs.clarifai.com). The Clarifai Python SDK offers a comprehensive set of tools to integrate Clarifai's AI platform to leverage computer vision capabilities like classification , detection ,segementation and natural language capabilities like classification , summarisation , generation , Q&A ,etc into your applications. With just a few lines of code, you can leverage cutting-edge artificial intelligence to unlock valuable insights from visual and textual content.\n\n[Website](https://www.clarifai.com/) | [Schedule Demo](https://www.clarifai.com/company/schedule-demo) | [Signup for a Free Account](https://clarifai.com/signup) | [API Docs](https://docs.clarifai.com/) | [Clarifai Community](https://clarifai.com/explore) | [Python SDK Docs](https://docs.clarifai.com/resources/api-references/python) | [Examples](https://github.com/Clarifai/examples) | [Colab Notebooks](https://github.com/Clarifai/colab-notebooks) | [Discord](https://discord.gg/XAPE3Vtg)\n\nGive the repo a star ⭐\n---\n\n## Table Of Contents\n\n* **[Installation](#rocket-installation)**\n* **[Getting Started](#me"},{"ref":"P3","kind":"page","title":"Clarifai/lambdafai repository metadata","date":"2026-06-11T04:09:17.676102+00:00","date_source":null,"source_url":"https://github.com/Clarifai/lambdafai","signal_url":null,"signal_json_url":null,"text":"# Clarifai/lambdafai\n\nDescription: Lambdafai is a simple framework for building and deploying REST APIs using AWS Lambda, API Gateway, DynamoDB, and S3.\n\nLanguage: JavaScript\n\nLicense: MIT\n\nStars: 37\n\nForks: 3\n\nOpen issues: 4\n\nCreated: 2016-03-18T15:32:49Z\n\nPushed: 2024-12-11T15:58:20Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n# lambdafai [](https://travis-ci.org/Clarifai/lambdafai)\n\nLambdafai is a simple framework for building and deploying REST APIs using AWS Lambda, API Gateway,\nDynamoDB, and S3. It consists of:\n* A library for routing and handling requests with [Express](http://expressjs.com/)-like syntax.\n* A command-line tool for creating, testing, and deploying your API.\n* A standard library to simplify interacting with AWS services like DynamoDB.\n* Using this library is optional - you can interact directly with the AWS APIs if you want\n\n#### Code\n```js\nvar lambdafai = require('lambdafai');\n\nlambdafai('hello-world', function(app) {\nvar hello = app.lambda({ name: 'hello' });\nhello.get('/hello', function(req, res) {\nres.send('Hello, world!');\n});\n});\n```\n\n#### Create\n```\nnode index.js create-resources dev\n```\n\n#### Test\n```\nnode index.js invoke dev '{path: \"/hello\"}'\n```\n\n#### Deploy\n```\nnode index.js deploy dev\n```\n\n#### Ship\n```\nnode index.js promote dev prod\n```\n\n## Getting Started\n\nThe easiest way to get started is to jump into the\n[Hello World example](https://github.com/Clarifai/lambdafai/tree/master/examples/hello-world).\nThis demonstrates how to use Lambdafai in a development workflow using the command-line tool.\n\nThe [TODO example](https://github.com/Clarifai/lambdafai/tree/master/examples/todo) is a more\ncomplete example that demonstrates how to use DynamoDB support and middleware.\n\nView the full generated API Reference by running:\n```\nnpm run jsdoc\n```"},{"ref":"P4","kind":"page","title":"Clarifai/clarifai-python-grpc repository metadata","date":"2026-06-11T04:09:17.43253+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-python-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-python-grpc\n\nDescription: Clarifai gRPC Python API client\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 57\n\nForks: 21\n\nOpen issues: 3\n\nCreated: 2019-10-25T13:53:04Z\n\nPushed: 2026-05-29T16:06:07Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Python gRPC Client\n\nThis is the official Clarifai gRPC Python client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire\nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision\nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n[](https://pypi.python.org/pypi/clarifai-grpc)\n[](https://github.com/Clarifai/clarifai-python-grpc/actions)\n\n## Installation\n\n```cmd\npython -m pip install clarifai-grpc\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nConstruct the `V2Stub` object using which you'll access all the Clarifai API functionality:\n\n```python\nfrom clarifai_grpc.channel.clarifai_channel import ClarifaiChannel\nfrom clarifai_grpc.grpc.api import service_pb2_grpc\n\nstub = service_pb2_grpc.V2Stub(ClarifaiChannel.get_grpc_channel())\n```\n\n> Alternatives to the encrypted gRPC channel (`ClarifaiChannel.get_grpc_channel()`) are:\n> - the HTTPS+JSON channel (`ClarifaiChannel.get_json_channel()`), and\n> - the unencrypted gRPC channel (`ClarifaiChannel.get_insecure_grpc_chann"},{"ref":"P5","kind":"page","title":"Clarifai/clarifai-nodejs-grpc repository metadata","date":"2026-06-11T04:09:17.381746+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-nodejs-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-nodejs-grpc\n\nDescription: Clarifai gRPC NodeJS client\n\nLanguage: JavaScript\n\nLicense: NOASSERTION\n\nStars: 50\n\nForks: 8\n\nOpen issues: 4\n\nCreated: 2019-10-25T14:03:28Z\n\nPushed: 2026-05-29T16:06:04Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Node.js gRPC Client\n\nThis is the official Clarifai gRPC Node.js client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire\nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision\nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n[](https://www.npmjs.com/package/clarifai-nodejs-grpc)\n[](https://github.com/Clarifai/clarifai-nodejs-grpc/actions)\n\n## Installation\n\n```\nnpm install clarifai-nodejs-grpc\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nThere are two approaches to using this library: the dynamic and the static. The former has been around for a longer\ntime, but latter provides type annotations via TypeScript declaration files which improves the IDE auto-completion\nexperience to be more developer-friendly. Both approaches provide the exact same API capabilities.\n\n### The dynamic approach\n\nConstruct the Clarifai stub, which contains all the methods available in the Clarifai API, and the `Metadata`\nobject that's used to authenticate:\n\n```javascript\nconst "},{"ref":"P6","kind":"page","title":"Clarifai/clarifai-java-grpc repository metadata","date":"2026-06-11T04:09:17.289825+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-java-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-java-grpc\n\nDescription: Clarifai gRPC Java client\n\nLanguage: Java\n\nLicense: NOASSERTION\n\nStars: 9\n\nForks: 6\n\nOpen issues: 6\n\nCreated: 2019-10-25T14:03:41Z\n\nPushed: 2026-05-29T16:06:02Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Java gRPC Client\n\nThis is the official Clarifai gRPC Java client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire\nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision\nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n[  ](https://bintray.com/clarifai/Clarifai/ClarifaiGrpc)\n[](https://github.com/Clarifai/clarifai-java-grpc/actions)\n\n## Installation\n\nVia Gradle:\n\n```\nrepositories {\nmavenCentral()\n}\n\ndependencies {\nimplementation 'com.clarifai:clarifai-grpc:LATEST_VERSION'\n}\n```\n\nVia Maven:\n\n```\n\n\nmavenCentral\nmavenCentral\nhttp://repo1.maven.org/maven2\n\n\n\n\n\ncom.clarifai\nclarifai-grpc\nLATEST_VERSION\n\n\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nConstruct the *Stub* object using which you'll access all the Clarifai API functionalit"},{"ref":"P7","kind":"page","title":"Clarifai/clarifai-go-grpc repository metadata","date":"2026-06-11T04:09:16.893109+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-go-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-go-grpc\n\nDescription: Clarifai gRPC Go client\n\nLanguage: Go\n\nLicense: Apache-2.0\n\nStars: 5\n\nForks: 2\n\nOpen issues: 3\n\nCreated: 2019-10-25T14:04:19Z\n\nPushed: 2026-05-29T16:05:59Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Go gRPC Client\n\nThis is the official Clarifai gRPC Go client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire \nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision \nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n[](https://pkg.go.dev/github.com/Clarifai/clarifai-go-grpc/)\n[](https://github.com/Clarifai/clarifai-go-grpc/actions)\n\n# Installation\n\n```\ngo get github.com/Clarifai/clarifai-go-grpc@INSERT_VERSION_HERE\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nConstruct the `V2Client` object using which you access all the Clarifai API functionality, and a `Context` object which\nis used for authentication - remember to insert your own Clarifai API key (or PAT).\n\n```go\nimport (\n\"context\"\n\"fmt\"\n\"github.com/Clarifai/clarifai-go-grpc/proto/clarifai/api\"\n\"github.com/Clarifai/clarifai-go-grpc/proto/clarifai/api/status\"\n\"google.golang.org/grpc\"\n\"google.golang.org/grpc/credentials\"\n\"google.golang.org/grpc/metadata\"\n)\n\nconn, err := grpc.NewClient(\n\"api.clarifai.com"},{"ref":"P8","kind":"page","title":"Clarifai/clarifai-csharp-grpc repository metadata","date":"2026-06-11T04:09:16.77829+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-csharp-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-csharp-grpc\n\nDescription: Clarifai gRPC C# client \n\nLanguage: C#\n\nLicense: NOASSERTION\n\nStars: 5\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2019-10-25T14:04:31Z\n\nPushed: 2026-05-29T16:05:58Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai C# gRPC Client\n\nThis is the official Clarifai gRPC C# client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire\nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision\nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n[](https://www.nuget.org/packages/ClarifaiGrpc)\n[](https://github.com/Clarifai/clarifai-csharp-grpc/actions)\n\n## Installation\n\nInstall it via the NuGet Package Manager by searching for `ClarifaiGrpc`, or use one of the commands below.\n\n```\ndotnet add package ClarifaiGrpc\n\nInstall-Package ClarifaiGrpc\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nConstruct the client and setup your API key or Personal Access Token in the `metadata` variable.\n\n```csharp\nusing System;\nusing System.Collections.Generic;\nusing Clarifai.Api;\nusing Clarifai.Channels;\nusing Grpc.Core;\nusing StatusCode = Clarifai.Api.Status.StatusCode;\n\nvar client = new V2.V2Client(ClarifaiChannel.Grpc());\n\nvar metadata = new Metadata\n{\n{\"Authorization\", \"Key {YOUR_PERSONAL_TOKEN}\"}\n};\n```\n\nPredi"},{"ref":"P9","kind":"page","title":"Clarifai/clarifai-web-grpc repository metadata","date":"2026-06-11T04:09:16.540354+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-web-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-web-grpc\n\nLanguage: JavaScript\n\nLicense: NOASSERTION\n\nStars: 6\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2020-04-21T18:50:06Z\n\nPushed: 2026-05-29T16:06:11Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# clarifai-web-grpc\n\nThe official Clarifai gRPC client for use in client browser applications.\n\nNB! You cannot access Clarifai API directly from browser due to cross-origin restrictions that is put in place for security reasons (to prevent API token leaks). Please use a proxy server on your backend to have `FE -> BE -> Clarifai` chain of requests instead.\n\n[](https://www.npmjs.com/package/clarifai-web-grpc)\n\n## Installation\n\n```bash\nyarn add clarifai-web-grpc\n```\n\n## Usage\n\n```ts\nimport { ClarifaiStub } from \"clarifai-web-grpc\";\nimport { App } from \"clarifai-web-grpc/proto/clarifai/api/resources_pb\";\nimport { PostAppsRequest } from \"clarifai-web-grpc/proto/clarifai/api/service_pb\";\n\n// get a client object\nconst client = ClarifaiStub.promise()\n\n// create an app\nconst app = new App();\napp.setId(\"cat-app\");\napp.setDefaultWorkflowId(\"General-Detection\");\napp.setDescription(\"An app for some cats\");\n\n// create a request\nconst req = new PostAppsRequest();\nreq.setAppsList([app]);\n\n// send the request\nconst auth = {\n\"authorization\": `Key ${process.env.CLARIFAI_TOKEN}`,\n};\nconst resp = await client.postApps(req, auth);\n\n// log the app id\nconsole.log(resp.getAppsList()[0].getId());\n```\n\n## Examples\n\nSee the examples directory for more examples of how to use the clarifai API client\n\n## Publishing to NPM\nPublishing the client to NPM involves merging a PR with 2 things:\n1. Updates the `version` field in `package.json` to the appropriate version.\n2. Commit message should begin with `\"GRPC clients version\"` eg `\"GRPC clients version 9.4.0\"`."},{"ref":"P10","kind":"page","title":"Clarifai/clarifai-php-grpc repository metadata","date":"2026-06-11T04:09:16.515066+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-php-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-php-grpc\n\nDescription: Clarifai gRPC PHP client \n\nLanguage: PHP\n\nLicense: NOASSERTION\n\nStars: 12\n\nForks: 1\n\nOpen issues: 3\n\nCreated: 2019-10-25T14:04:43Z\n\nPushed: 2026-05-29T16:06:06Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai PHP gRPC Client\n\nThis is the official Clarifai gRPC PHP client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire\nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision\nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n[](https://packagist.org/packages/clarifai/clarifai-php-grpc)\n\n# Installation\n\n```\ncomposer require clarifai/clarifai-php-grpc\n```\n\nSee also [how add gRPC to your PHP installation](https://grpc.io/docs/languages/php/quickstart/).\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nConstruct the client and setup your API key or Personal Access Token in the metadata variable.\n\n```php\nrequire ‘vendor/autoload.php’;\nuse Clarifai\\ClarifaiClient;\n\n$client = ClarifaiClient::grpc();\n$metadata = ['Authorization' => ['Key {MY_CLARIFAI_API_KEY_OR_PAT}']];\n```\n\nPredict concepts in an image:\n\n```php\nuse Clarifai\\Api\\Data;\nuse Clarifai\\Api\\Image;\nuse Clarifai\\Api\\Input;\nuse Clarifai\\Api\\PostModelOutputsRequest;\nuse Clarifai\\Api\\Status\\StatusCode;\n\n[$response, $status] = $client->PostModelOutputs(\nnew PostModelOutputsRequest([\n'model_id' => '"},{"ref":"P11","kind":"page","title":"Clarifai/clarifai-swift-grpc repository metadata","date":"2026-06-11T04:09:16.279943+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-swift-grpc","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-swift-grpc\n\nDescription: Clarifai gRPC Swift client \n\nLanguage: Swift\n\nLicense: NOASSERTION\n\nStars: 6\n\nForks: 2\n\nOpen issues: 0\n\nCreated: 2020-09-24T08:25:07Z\n\nPushed: 2026-05-29T16:06:09Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Swift gRPC Client\n\nThis is the official Clarifai gRPC Swift client for interacting with our powerful recognition\n[API](https://docs.clarifai.com).\nClarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire\nartificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision\nand natural language processing.\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://portal.clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n\n[](https://github.com/Clarifai/clarifai-swift-grpc/actions)\n\n## Installation\n\nAdd the library to the `dependencies` list in your project's `Package.swift` file.\n\n```\ndependencies: [\n// ... Your other dependencies.\n.package(name: \"ClarifaiGrpc\", url: \"https://github.com/Clarifai/clarifai-swift-grpc\", from: \"0.0.1\")\n],\n```\n\nUse the dependency in your target:\n\n```\ntargets: [\n.target(\nname: \"YOUR-TARGET\",\ndependencies: [\"ClarifaiGrpc\"]),\n]\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nConstruct the client and setup your API key or Personal Access Token in the `metadata` variable.\n\n```swift\nimport NIO\nimport NIOHPACK\nimport GRPC\nimport ClarifaiGrpc\n\nlet group = MultiThreadedEventLoopGroup(numberOfThreads:"},{"ref":"P12","kind":"page","title":"Clarifai/module-gallery repository metadata","date":"2026-06-11T04:09:16.022162+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-gallery","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-gallery\n\nDescription: Starter project with several example widgets to build new Clarifai modes with. \n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 0\n\nForks: 0\n\nOpen issues: 1\n\nCreated: 2021-12-02T18:36:56Z\n\nPushed: 2025-10-22T18:16:16Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai App Module Gallery\n\nThis is a test streamlit app with the official Clarifai Python utilities. This repo includes higher level convencience classes, functions, and scripts to make using our [API](https://docs.clarifai.com) easier. This is built on top of the [Clarifai Python gRPC Client](https://github.com/Clarifai/clarifai-python-grpc).\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n## Installation\n\nSimply git clone and setup this repo with the requirements.txt file:\n```cmd\ngit clone git@github.com:Clarifai/module-gallery.git\ncd module-gallery\npip install -r requirements.txt\n```\n\n## Versioning\n\nThis library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and\nwhenever the API gets updated, this library follows it.\n\nThe third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes.\n\n## Getting started\n\nAfter installation you just need to run the streamlit app:\n```cmd\nstreamlit run app.py\n```\n\nFind your `user_id` [here](https://portal.clarifai.com/settings/profile), `app_id` (of whatever app you want to interact with in your account), personal access token (`pat`) [here](https://portal.clarifai.com/settings/authentication), and the `base` URL for the API you're calling such as https://api-dev.clarifai.com or http://host:port for a direct Clarifai API stack.\n\nPut them into the following parts of the url below in your browser:\nhttp://localhost:8501?user_id={user_id}&app_id={app_id}&pat={pat}=base={base}\n\n### Building Single Page Apps\nFor a single page app all you need to impl"},{"ref":"P13","kind":"page","title":"Clarifai/docs repository metadata","date":"2026-06-11T04:09:15.86365+00:00","date_source":null,"source_url":"https://github.com/Clarifai/docs","signal_url":null,"signal_json_url":null,"text":"# Clarifai/docs\n\nDescription: Clarifai documentation repo for Docusaurus\n\nLanguage: Python\n\nStars: 22\n\nForks: 6\n\nOpen issues: 2\n\nCreated: 2021-12-21T15:23:51Z\n\nPushed: 2026-05-29T08:29:34Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Website\n\nThis website is built using [Docusaurus](https://docusaurus.io/), a modern static website generator.\n\n### Installation\n\n```\n$ yarn\n```\n\n### Local Development\n\n```\n$ yarn start\n```\n\nThis command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.\n\n### Build\n\n```\n$ yarn build\n```\n\nThis command generates static content into the `build` directory and can be served using any static contents hosting service.\n\n### Deployment\n\nUsing SSH:\n\n```\n$ USE_SSH=true yarn deploy\n```\n\nNot using SSH:\n\n```\n$ GIT_USER= yarn deploy\n```\n\nIf you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch."},{"ref":"P14","kind":"page","title":"Clarifai/module-docQA repository metadata","date":"2026-06-11T04:09:15.637639+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-docQA","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-docQA\n\nLanguage: Jupyter Notebook\n\nStars: 1\n\nForks: 0\n\nOpen issues: 1\n\nCreated: 2023-04-29T23:41:09Z\n\nPushed: 2025-10-22T18:15:23Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Module Document Q&A\nThis is a demo app showcasing the usefullness of Retrieval Augmented Text Generation. This module includes 4 main pages:\n1. **Upload**: This page takes a pdf, parses it into chunks, and uploads it to a Clarifai app with metadata to track the source and page/chunk number.\n2. **Upload with Geo**: This page takes a pdf, parses it into chunks, then extracts relevant locations using a LLM and uploads the text chunks and geo data to a Clarifai app.\n3. **Investigate**: This page showcases different use cases such as semantic search for document retrieval, followed with NER (named-entity recognition), document summarization, and a \"chat with the document\" experience.\n4. **Geo Search**: This page uses Clarifai semantic search and geo data search to retrieve relevant documents within a designated geo location, which can then used to ground the LLM generation for a summarization task.\n\n### Install this module into your app to upload the documents and analyse them!\n\n### Here's a blog you can refer to https://www.clarifai.com/blog/doc-qa-revolutionizing-document-analysis \n\n## Screenshots\n\n### Upload PDF\n\n\n### Upload with Geo\n\n\n### Investigate\n\n\n### Named-Entity Recognition\n\n\n### Document Summarization\n\n\n### Chat with the Document\n\n\n### Geo Search\n![image](https://github.com/Clarifai/module-docQA/assets/20639882/860b8416-28e3-404f-9557-d41a4035792a"},{"ref":"P15","kind":"page","title":"Clarifai/which-celebrity-app repository metadata","date":"2026-06-11T04:09:15.597895+00:00","date_source":null,"source_url":"https://github.com/Clarifai/which-celebrity-app","signal_url":null,"signal_json_url":null,"text":"# Clarifai/which-celebrity-app\n\nDescription: A React application that uses #Clarifai to detect celebrities in the user's webcam\n\nLanguage: TypeScript\n\nStars: 3\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2023-02-27T00:44:51Z\n\nPushed: 2025-10-22T18:11:12Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\nThis is a [Clarifai](https://clarifai.com/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).\n\n## Getting Started\n\nFirst, run the development server:\n\n```bash\nnpm run dev\n# or\nyarn dev\n# or\npnpm dev\n```\n\nOpen [http://localhost:3000](http://localhost:3000) with your browser to see the result.\n\n## Learn More\n\nTo learn more about Next.js, take a look at the following resources:\n\n- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.\n- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.\n\nYou can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!\n\n## Deploy on Vercel\n\n[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FClarifai%2Fwhich-celebrity-app)\n\nCheck out [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details."},{"ref":"P16","kind":"page","title":"Clarifai/module-prompting repository metadata","date":"2026-06-11T04:09:15.436533+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-prompting","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-prompting\n\nDescription: A UI module to help with prompts within Clarifai.\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-05-01T16:17:18Z\n\nPushed: 2025-10-22T18:15:02Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai LLM Comparison Module\nThis module allows easy comparison and evaluation of many large language models. The module has two main capabilities:\n- It displays old prompts and generations that were tried by users.\n- It allows the selection and simultaneously comparison of many LLMs."},{"ref":"P17","kind":"page","title":"Clarifai/module-llm-battleground repository metadata","date":"2026-06-11T04:09:15.168358+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-llm-battleground","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-llm-battleground\n\nDescription: Easily try the latest LLMs to see which is the best for your use case.\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 2\n\nForks: 4\n\nOpen issues: 0\n\nCreated: 2023-07-14T20:24:40Z\n\nPushed: 2025-10-22T18:14:07Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai LLM Comparison Module\nThis module allows easy comparison and evaluation of many large language models. The module has two main capabilities:\n- It displays old prompts and generations that were tried by users.\n- It allows the selection and simultaneously comparison of many LLMs."},{"ref":"P18","kind":"page","title":"Clarifai/module-chatbot repository metadata","date":"2026-06-11T04:09:15.023437+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-chatbot","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-chatbot\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 0\n\nForks: 5\n\nOpen issues: 0\n\nCreated: 2023-08-11T12:03:12Z\n\nPushed: 2025-10-22T18:12:38Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai ChatBot module\n\nThis module lets you chat with several Large Language Models. It has two main capabilities:\n- It proves how powerful and easy it is to integrate models provided by Clarifai using Streamlit & Langchain\n- You can evaluate the responses from multiple LLMs and choose the one which best suits your purpose."},{"ref":"P19","kind":"page","title":"Clarifai/examples repository metadata","date":"2026-06-11T04:09:14.772202+00:00","date_source":null,"source_url":"https://github.com/Clarifai/examples","signal_url":null,"signal_json_url":null,"text":"# Clarifai/examples\n\nDescription: Examples for Clarifai Python SDK and Integrations. Give the repo a star ⭐\n\nLanguage: Jupyter Notebook\n\nLicense: NOASSERTION\n\nStars: 20\n\nForks: 5\n\nOpen issues: 1\n\nCreated: 2023-08-23T19:35:37Z\n\nPushed: 2026-05-07T14:16:59Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Python SDK and Integrations Examples\n\nThis is a collection of examples for the [clarifai-python](https://github.com/Clarifai/clarifai-python) SDK and Integrations done with Clarifai SDK. Use these examples to learn Clarifai and build your own robust and scalable AI applications.\n\nExperience the power of Clarifai in building Computer Vision , Natual Language processsing , Generative AI applications.\n\n[Website](https://www.clarifai.com/) | [Schedule Demo](https://www.clarifai.com/company/schedule-demo) | [Signup for a Free Account](https://clarifai.com/signup) | [API Docs](https://docs.clarifai.com/) | [Clarifai Community](https://clarifai.com/explore) | [Python SDK Docs](https://docs.clarifai.com/python-sdk/api-reference) | [Examples](https://github.com/Clarifai/examples) | [Colab Notebooks](https://github.com/Clarifai/colab-notebooks) | [Discord](https://discord.gg/XAPE3Vtg)\n\n## Setup\n* Sign up for a free account at [clarifai](https://clarifai.com/signup) and set your PAT key.\n* You can generate PAT key in the Personal settings -> [Security section](https://clarifai.com/settings/security)\n\n* Install the [Clarifai python sdk.](https://github.com/Clarifai/clarifai-python/tree/master)\n\n* Export your PAT as an environment variable.\n```cmd\nexport CLARIFAI_PAT={your personal access token}\n```\n\n* Explore and run the examples in this repo.\n\n## Usage\n\nThe examples are organized into several folders based on their category. A quick example below,\n\n```python\nfrom clarifai.client.dataset import Dataset\ndataset = Dataset(user_id=\"user_id\", app_id=\"app_id\", dataset_id=\"dataset_id\")\ndataset.upload_dataset(task=\"text_clf\", split=\"train\", module_dir=\"path_to_imdb_reviews_module\")\n```\n\n## Compute Orchestration and Agentic Examples\n| Function | Link | Description | Link to Do"},{"ref":"P20","kind":"page","title":"Clarifai/clarifai-python-datautils repository metadata","date":"2026-06-11T04:09:14.726073+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-python-datautils","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-python-datautils\n\nDescription: Extract Transform and Load unstructured data into the Clarifai's AI platform\n\nLanguage: Python\n\nLicense: Apache-2.0\n\nStars: 8\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-09-21T16:17:14Z\n\nPushed: 2026-05-06T09:09:40Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Python Data Utils\n\n[](https://discord.gg/M32V7a7a)\n[](https://pypi.org/project/clarifai-datautils)\n\nThis is a collection of utilities for handling various types of multimedia data. Enhance your experience by seamlessly integrating these utilities with the Clarifai Python SDK. This powerful combination empowers you to address both visual and textual use cases effortlessly through the capabilities of Artificial Intelligence. Unlock new possibilities and elevate your projects with the synergy of versatile data utilities and the robust features offered by the [Clarifai Python SDK](https://github.com/Clarifai/clarifai-python). Explore the fusion of these tools to amplify the intelligence in your applications! 🌐🚀\n\n[Website](https://www.clarifai.com/) | [Schedule Demo](https://www.clarifai.com/company/schedule-demo) | [Signup for a Free Account](https://clarifai.com/signup) | [API Docs](https://docs.clarifai.com/) | [Clarifai Community](https://clarifai.com/explore) | [Python SDK Docs](https://docs.clarifai.com/python-sdk/api-reference) | [Examples](https://github.com/Clarifai/examples) | [Colab Notebooks](https://github.com/Clarifai/colab-notebooks) | [Discord](https://discord.gg/XAPE3Vtg)\n\n---\n## Table Of Contents\n\n* **[Installation](#installation)**\n* **[Getting Started](#getting-started)**\n* **[Features](#features)**\n* [Image Utils](#image-utils)\n* [Data Ingestion Pipeline](#ingestion-pipeline)\n* **[Usage](#usage)**\n* **[Examples](#more-examples)**\n\n## Installation\n\nInstall from PyPi:\n\n```bash\npip install clarifai-datautils\n```\n\nInstall from Source:\n\n```bash\ngit clone https://github.com/Clarifai/clarifai-python-datautils\ncd clarifai-python-datautils\npython3 -m venv env\nsource env/bin/activate\npip"},{"ref":"P21","kind":"page","title":"Clarifai/clarifai-pyspark repository metadata","date":"2026-06-11T04:09:14.538376+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-pyspark","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-pyspark\n\nDescription: Interfaces for Unstructured data and ML pipelines with Databricks and Clarifai\n\nLanguage: Python\n\nLicense: Apache-2.0\n\nStars: 7\n\nForks: 2\n\nOpen issues: 2\n\nCreated: 2023-10-16T13:00:01Z\n\nPushed: 2024-11-11T13:19:56Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# ClarifaiPySpark\n\n## Introduction\n\nThis readme provides overview of the Software Development Kit (SDK) under development for integrating Clarifai with Databricks. The primary use case for this SDK is to facilitate the interaction between Databricks and Clarifai for tasks related to uploading client datasets, annotating data, and exporting and storing annotations in Spark DataFrames or Delta tables.\n\n\n\nThe initial use case for this SDK revolves around three main objectives:\n\n### Uploading Client Datasets into Clarifai App:\nThe SDK should enable the seamless upload of datasets into the Clarifai application, simplifying the process of data transfer from Databricks to Clarifai.\n\n### Annotate the Data:\nIt should provide features for data annotation, making it easier for users to add labels and metadata to their datasets within the Clarifai platform.\n\n### Export Annotations to Spark DataFrames/Delta Tables:\nThe SDK should offer functionality to export annotations and store them in Spark DataFrames or Delta tables, facilitating further data analysis within Databricks.\n\n## Requirements:\n* Databricks : Runtime 13.3 or later\n* Clarifai : ``` pip install clarifai ```\n* Create your [Clarifai account](https://clarifai.com/login)\n* Follow the instructions to get your own [Clarifai PAT](https://docs.clarifai.com/clarifai-basics/authentication/personal-access-tokens)\n* Protocol Buffers : version 4.24.2 `pip install protobuf==4.24.2 `\n\n## Setup:\n\nInstall the package and initialize the clarifaipyspark class to begin.\n```bash\npip install clarifai-pyspark\n```\n## Getting Started:\n``` python\nfrom clarifaipyspark.client import ClarifaiPySpark\n```\n\nCreate a Clarifai-PySpark client object to connect to your app on Clarifai. You can also choose "},{"ref":"P22","kind":"page","title":"Clarifai/module-img-upscaler repository metadata","date":"2026-06-11T04:09:14.264884+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-img-upscaler","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-img-upscaler\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-11-14T13:54:57Z\n\nPushed: 2025-10-22T18:13:45Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Image Upscaler\n\nThis module utilizes the `stabilityai-upscale` model from [Clarifai community] (https://clarifai.com/stability-ai/Upscale/models/stabilityai-upscale) to upscale your images. You can enlarge an image by uploading it and specifying the desired width parameter. Additionally, it automatically uploads the enhanced image to your app's inputs."},{"ref":"P23","kind":"page","title":"Clarifai/module-outlier-detection repository metadata","date":"2026-06-11T04:09:14.101645+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-outlier-detection","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-outlier-detection\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-11-27T12:32:14Z\n\nPushed: 2025-10-22T18:12:58Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Introduction\n\nThis is a streamlit app with the official Clarifai Python utilities. This repo includes higher level convencience classes, functions, and scripts to make using our [API](https://docs.clarifai.com) easier. This is built on top of the [Clarifai Python gRPC Client](https://github.com/Clarifai/clarifai-python-grpc).\n\n* Try the Clarifai demo at: https://clarifai.com/demo\n* Sign up for a free account at: https://clarifai.com/signup\n* Read the documentation at: https://docs.clarifai.com/\n\n# Outlier detection\n\nThis module detects outliers from the input data and helps visualize high dimensional data in 3D space. It clusters the data together and finds the outlier based on the distance and number of neighbour points. \n## page preview \n\n"},{"ref":"P24","kind":"page","title":"Clarifai/module-chat-with-pdfs repository metadata","date":"2026-06-11T04:09:13.890459+00:00","date_source":null,"source_url":"https://github.com/Clarifai/module-chat-with-pdfs","signal_url":null,"signal_json_url":null,"text":"# Clarifai/module-chat-with-pdfs\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-12-27T14:30:32Z\n\nPushed: 2025-10-22T18:13:19Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai App Module Template\n\nThis is a template repository to make it easy to get started creating a UI module with Clarifai.\n\n## To use this repo\n\n1. Click the \"Use this template\" green button on github to make a repo from this repo template and give it a name of the format module-{XYZ} filling in the XYZ portion.\n2. Clone the new repo as normal to your development environment.\n3. `pip install -r requirements.txt` to make sure you have all the Python packages installed. Add any new packages to this requirements.txt file that you add during development.\n4. Update the README.md to capture what your new module will do.\n5. Rename the pages/*.py files as you desire and start filling them in to implement your module.\n6. After you're tried things out locally, push your changes to github and get the git commit URL from there in order to create a module in Clarifai.\n7. Go to any app you can create in within Clarifai, select Modules on the left and \"Create Module\" button, then follow the steps."},{"ref":"P25","kind":"page","title":"Clarifai/clarifai-nodejs repository metadata","date":"2026-06-11T04:09:13.803092+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-nodejs","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-nodejs\n\nDescription: Experience the power of Clarifai’s AI platform with the nodejs SDK. 🌟 Star to support our work!\n\nLanguage: TypeScript\n\nLicense: NOASSERTION\n\nStars: 25\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2024-01-25T14:00:03Z\n\nPushed: 2026-05-13T17:30:45Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\nClarifai Node.js SDK
\n\n[](https://www.npmjs.com/package/clarifai-nodejs)\n[](https://github.com/Clarifai/clarifai-nodejs/actions/workflows/build.yml)\n[](https://discord.com/invite/26upV8Y4Nd)\n\n> This library is currently in developer preview, any improvements & feedback welcome!\n\n# Clarifai Node.js SDK\n\nThis is the official Node.js client for interacting with our powerful [API](https://docs.clarifai.com). The Clarifai Node.js SDK offers a comprehensive set of tools to integrate Clarifai's AI platform to leverage computer vision capabilities like classification, detection, segmentation and natural language capabilities like classification, summarisation, generation, Q&A, etc into your applications. With just a few lines of code, you can leverage cutting-edge artificial intelligence to unlock valuable insights from visual and textual content.\n\n[Website](https://www.clarifai.com/) | [Schedule Demo](https://www.clarifai.com/company/schedule-demo) | [Signup for a Free Account](https://clarifai.com/signup) | [API Docs](https://docs.clarifai.com/) | [Clarifai Community](https://clarifai.com/explore) | [Node.js SDK Docs](https://docs.clarifai.com/nodejs-sdk/api-reference) | [Examples](https://github.com/Clarifai/clarifai-nodejs/tree/main/examples) | [Discord](https://discord.gg/XAPE3Vtg)\n\nGive the repo a star ⭐\n\n## Installation\n\n```sh\nnpm install clarifai-nodejs\n```\n\n### Next.js Server Components\n\nTo use Clarifai Node.js in Next.js App Directory with server components, you will need to add [clarifai-nodejs-grpc](https://github.co"},{"ref":"P26","kind":"page","title":"Clarifai/clarifai-model-utils repository metadata","date":"2026-06-11T04:09:13.575873+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-model-utils","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-model-utils\n\nLanguage: Python\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2024-02-22T17:29:01Z\n\nPushed: 2025-10-22T18:11:55Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n# Clarifai Python Model Utils\n\n[Website](https://www.clarifai.com/) | [Schedule Demo](https://www.clarifai.com/company/schedule-demo) | [Signup for a Free Account](https://clarifai.com/signup) | [API Docs](https://docs.clarifai.com/) | [Clarifai Community](https://clarifai.com/explore) | [Python SDK Docs](https://docs.clarifai.com/python-sdk/api-reference) | [Examples](https://github.com/Clarifai/examples) | [Colab Notebooks](https://github.com/Clarifai/colab-notebooks) | [Discord](https://discord.gg/XAPE3Vtg)\n\n---\n## Table Of Contents\n\n* **[Installation](#installation)**\n* **[Getting Started](#getting-started)**\n* **[Examples](#examples)**\n\n## Installation\n\nInstall from Source:\n\n```bash\ngit clone https://github.com/Clarifai/clarifai-model-utils\ncd clarifai-model-utils\npython3 -m venv env\nsource env/bin/activate\npip install -e .\n```\n\n## Getting started\n\nSet your CLARIFAI_PAT as an environment variable.\n\nQuick demo of `LLM Evaluation`\n\n```python\nfrom clarifai_model_utils import ClarifaiEvaluator\nfrom clarifai_model_utils.llm_eval.constant import JUDGE_LLMS\n\nfrom clarifai.client.model import Model\nfrom clarifai.client.dataset import Dataset\n\nmodel = Model(model_url)\nds = Dataset(ds_url)\n\nevaluator = ClarifaiEvaluator(predictor=model)\n\nout = evaluator.evaluate(\ntemplate=\"llm_as_judge\",\njudge_llm_url=JUDGE_LLMS.GPT3_5_TURBO,\nupload=True,\ndataset=ds,\n)\nprint(out)\n```\n\n## Different Dataset Sources\nUsing Hugging Face 🤗 Datasets is also supported, with column names `question` and `answer`. \n\n```diff\nfrom clarifai_model_utils import ClarifaiEvaluator\nfrom clarifai_model_utils.llm_eval.constant import JUDGE_LLMS\n\nfrom clarifai.client.model import Model\n\n+ from datasets import load_dataset\n- from clarifai.client.dataset import Dataset\n\nmodel = Model(model_url)\n\n+ ds = load_dataset(\"stanfordnlp/coqa\", split=\"train\").rename_columns{\"questions\": \"question\", \"answers\": \"answer:}"},{"ref":"P27","kind":"page","title":"Clarifai/runners-examples repository metadata","date":"2026-06-11T04:09:13.347492+00:00","date_source":null,"source_url":"https://github.com/Clarifai/runners-examples","signal_url":null,"signal_json_url":null,"text":"# Clarifai/runners-examples\n\nLanguage: Python\n\nStars: 1\n\nForks: 1\n\nOpen issues: 33\n\nCreated: 2025-03-28T14:53:32Z\n\nPushed: 2026-05-20T09:22:09Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n# Clarifai Model Deployment\n\n[Clarifai](https://www.clarifai.com/) provides an easy-to-use platform to serve AI/ML models in production.\n\nThis guide walks you through deploying models on Clarifai — from scaffolding a project to running predictions in production.\n\n## Quick Start\n\nThree commands to go from zero to a deployed model:\n\n```bash\npip install -U clarifai\n\n# 1. Authenticate\nclarifai login\n\n# 2. Scaffold a model (auto-selects GPU based on model size)\nclarifai model init --toolkit vllm --model-name Qwen/Qwen3-0.6B\n\n# 3. Deploy to production (auto-creates all infrastructure)\nclarifai model deploy ./Qwen3-0.6B\n```\n\nThe CLI handles compute cluster creation, nodepool setup, image building, and deployment automatically. When it finishes you'll see:\n\n```\n── Ready ──────────────────────────────────────────────\nModel deployed successfully!\n\nModel: https://clarifai.com/you/main/models/qwen3-0-6b\nDeployment: deploy-qwen3-0-6b-abc123\nInstance: g5.xlarge\n\n── Next Steps ─────────────────────────────────────────\nPredict: clarifai model predict you/main/models/qwen3-0-6b \"Hello\"\nLogs: clarifai model logs --deployment \"deploy-qwen3-0-6b-abc123\"\nUndeploy: clarifai model undeploy --deployment \"deploy-qwen3-0-6b-abc123\"\n```\n\n### Which path is right for you?\n\n| I want to... | Do this |\n|--------------|---------|\n| **Deploy a HuggingFace LLM** (Qwen, Llama, Gemma, etc.) | `clarifai model init --toolkit vllm --model-name ` then `clarifai model deploy` |\n| **Deploy an MCP tool server** | `clarifai model init --toolkit mcp` then write your tools |\n| **Wrap an existing API or local server** | `clarifai model init --toolkit openai` or `--toolkit ollama` |\n| **Build a fully custom model** (vision, embeddings, etc.) | `clarifai model init` then edit model.py — see [Writing a Custom Model](#writing-a-custom-model) |\n\n## Contents\n\n- [Quick Start](#quick-start)\n- [Installation & Authentication]("},{"ref":"P28","kind":"page","title":"Clarifai/clarifai-mcp-server-local repository metadata","date":"2026-06-11T04:09:13.199927+00:00","date_source":null,"source_url":"https://github.com/Clarifai/clarifai-mcp-server-local","signal_url":null,"signal_json_url":null,"text":"# Clarifai/clarifai-mcp-server-local\n\nDescription: Local MCP server for clarifai.com\n\nLanguage: Go\n\nStars: 2\n\nForks: 2\n\nOpen issues: 0\n\nCreated: 2025-04-08T20:26:44Z\n\nPushed: 2025-05-14T09:39:22Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# 🌀 Clarifai MCP Server (unofficial)\n\nThis hackday project provides a Model Context Protocol (MCP) server that acts as a bridge to the [Clarifai](https://www.clarifai.com/) API and is meant to run on user's machine (so locally). It allows MCP clients (like IDE extensions) to interact with Clarifai, such as image generation and inference, using standard MCP requests without overloading LLM context with heavy binary results.\n\n[](https://www.youtube.com/watch?v=aSuJxq1txm0)\n[](https://www.youtube.com/watch?v=MC8_rGjfty4)\n\n## Configuring MCP server for seamless interaction\n\nThe server is typically run automatically by the MCP client framework (e.g., via settings in VS Code). The configuration usually involves specifying the path to the built binary and any required command-line arguments, such as the Clarifai PAT. You will need Go (version 1.23 or later)\n\n```bash\ncd ~\ngit clone git@github.com:tot-ra/clarifai-mcp-server-local.git\ncd clarifai-mcp-server-local\ngo mod tidy\n```\n\n**Build the Binary:**\nUse the `go build` command, targeting the main package within the `cmd/server` directory. Specify the output path and target architecture if needed (example for macOS ARM):\n```bash\n# For macOS ARM\nmake build\n\n# For Linux AMD64\n# GOOS=linux GOARCH=amd64 go build -o ./mcp_binary ./...\n\n# For Windows AMD64\n# GOOS=windows GOARCH=amd64 go build -o ./mcp_binary.exe ./...\n```\n\nThis will create an executable file named `mcp_binary` (or `mcp_binary.exe` on Windows) in the project's root directory.\n\nExample MCP settings entry (`cline_mcp_settings.json`), for example for Cline:\n\n```json\n{\n\"mcpServers\": {\n\"clarifai\": {\n\"command\": \"~/clarifai-mcp-server-local/mcp_binary\",\n\"args\": [\n\"--pat\", \"YOUR_CLARIFAI_PAT\",\n\"--output-path\", \"~/Desktop/\",\n\"--default-user-id\", \"your_user_id\",\n\"--default-app-id\", \"your_app"},{"ref":"E1","kind":"event","title":"Clarifai/clarifai-python-grpc 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