{"data":{"slug":"eleutherai-pythia","name":"pythia","tagline":"Hub for EleutherAI's work on interpretability and learning dynamics","github_url":"https://github.com/EleutherAI/pythia","owner":"EleutherAI","repo":"pythia","owner_avatar_url":"https://avatars.githubusercontent.com/u/68924597?v=4","primary_language":"Jupyter Notebook","stars":2960,"forks":225,"topics":[],"archived":false,"github_pushed_at":"2025-11-15T17:39:52+00:00","maintenance_label":"Slowing","stars_delta_30d":41,"url":"https://www.graphcanon.com/tools/eleutherai-pythia","markdown_url":"https://www.graphcanon.com/tools/eleutherai-pythia.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eleutherai-pythia","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eleutherai-pythia","description":"The hub for EleutherAI's work on interpretability and learning dynamics","homepage_url":null,"license":"Apache-2.0","open_issues":27,"watchers":36,"ai_summary":"The repository contains Jupyter Notebook files that focus on the research and development related to interpretability and learning dynamics. It doesn't specify any particular tool or application but is centered around understanding AI models.","readme_excerpt":"## License\nThe following license applies to all code in this GitHub repo, as well as the Pythia models and any other copyrightable artifacts contained in this repository.\n\n```\n   Copyright 2024 EleutherAI\n\n   Licensed under the Apache License, Version 2.0 (the \"License\");\n   you may not use this file except in compliance with the License.\n   You may obtain a copy of the License at\n\n       http://www.apache.org/licenses/LICENSE-2.0\n\n   Unless required by applicable law or agreed to in writing, software\n   distributed under the License is distributed on an \"AS IS\" BASIS,\n   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n   See the License for the specific language governing permissions and\n   limitations under the License.\n```","github_created_at":"2021-12-25T23:58:44+00:00","created_at":"2026-07-11T10:34:06.84569+00:00","updated_at":"2026-10-12T06:00:34.281197+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"interpretability","name":"interpretability"},{"slug":"learning-dynamics","name":"learning dynamics"},{"slug":"research","name":"research"}],"trust":{"provenance":{"is_fork":false,"github_id":441778458,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-10-12T06:00:33.451Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":330,"last_release_at":null,"stars_delta_30d":41,"open_issues_delta_30d":1},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":2,"high_count":0,"last_scan_at":"2026-07-11T10:34:08.139Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-10-12T06:00:33.976Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-10-12T06:00:33.976Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-10-12T06:00:33.976Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"All code in the GitHub repo, Pythia models, and other artifacts are available under an open-source Apache-2.0 license, making it free to use with attribution."},"requirements":{},"constraints":{"pricing_model":"freemium"},"when_to_use":["When you are specifically interested in understanding the internal workings and behavior of AI models, as Pythia is centered around interpretability and learning dynamics.","If your work involves exploring how machine learning models learn from data and how to make these processes more transparent."],"when_not_to_use":["Avoid using Pythia if you need specific applications or tools for immediate practical AI model deployment, as it primarily focuses on research and not direct application.","If interpretability is not a prime focus of your project and the primary goal is building functional machine learning models without delving into theoretical aspects."],"source":"enrich:decision_facts","observed_at":"2026-07-12T16:24:55.536Z"},"constraint_facets":{"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - All code in the GitHub repo, Pythia models, and other artifacts are available under an open-source Apache-2.0 license, making it free to use with attribution."},{"label":"Adopt for","value":"Pythia is a hub maintained by EleutherAI focused on research notebooks addressing interpretability and learning dynamics."},{"label":"License detail","value":"The repository's content is licensed under Apache-2.0, which allows for a broad range of uses including both commercial and non-commercial purposes while requiring preservation of copyright notices."}]}}