{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Repo: google-deepmind/fancyflags","description":"Google (DeepMind / Gemini) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/4f969e84-a4e5-4898-a7ce-35083c6a7ae0","json_url":"https://onlylabs.fyi/signals/4f969e84-a4e5-4898-a7ce-35083c6a7ae0/signal.json","generated_at":"2026-06-11T22:53:08.403Z","evidence_latest_fetched_at":"2026-06-11T20:05:13.876921+00:00","signal_first_seen_at":"2026-06-11T07:00:51.929746+00:00","org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/google-deepmind","dossier_json_url":"https://onlylabs.fyi/labs/google-deepmind/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/4f969e84-a4e5-4898-a7ce-35083c6a7ae0","signal_json":"https://onlylabs.fyi/signals/4f969e84-a4e5-4898-a7ce-35083c6a7ae0/signal.json","source":"https://github.com/google-deepmind/fancyflags","lab_dossier":"https://onlylabs.fyi/labs/google-deepmind","lab_dossier_json":"https://onlylabs.fyi/labs/google-deepmind/dossier.json","analysis":"https://onlylabs.fyi/analysis/google-deepmind","analysis_json":"https://onlylabs.fyi/analysis/google-deepmind/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/google-deepmind/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google-deepmind/fancyflags (Python). 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Language: Python License: Apache-2.0 Stars: 35 Forks: 7 Open issues: 1 Created: 2021-02-05T09:14:53Z Pushed: 2026-06-10T22:18:46Z Default branch: master Fork: no Archived: no README: fancyflags ![PyPI version](https://badge.fury.io/py/fancyflags.svg) Introduction `fancyflags` is a Python library that extends [`absl.flags`](https://github.com/abseil/abseil-py) with additional structured flag types. `fancyflags` provides flags corresponding to structures such as [dicts](#dict-flags), [dataclasses, and (somewhat) arbitrary callables](#auto). These flags are typed and validated like regular `absl` flags, catching errors before they propagate into your program. To override values, users can access familiar \"dotted\" flag names. TIP: Already a `fancyflags` user? Check out our [usage tips](#tips)! A short note on design philosophy: `fancyflags` promotes mixing with regular `absl` flags. 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