PyPI Releases

{
  "url": "https://pypi.org/project/transformers/5.10.2/",
  "event": "published",
  "author": "The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)",
  "yanked": false,
  "license": "Apache 2.0 License",
  "package": "transformers",
  "summary": "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.",
  "version": "5.10.2",
  "homepage": "https://github.com/huggingface/transformers",
  "ecosystem": "pypi",
  "published_at": "2026-06-04T18:43:45.303Z",
  "requires_python": ">=3.10.0"
}

{
  "url": "https://pypi.org/project/transformers/5.10.1/",
  "event": "published",
  "package": "transformers",
  "summary": "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.",
  "version": "5.10.1",
  "ecosystem": "pypi",
  "published_at": "2026-06-03T15:37:00.433Z"
}

{
  "url": "https://pypi.org/project/langchain/1.3.4/",
  "event": "published",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.4",
  "ecosystem": "pypi",
  "published_at": "2026-06-02T20:04:48.130Z"
}

{
  "url": "https://pypi.org/project/transformers/5.9.0/",
  "event": "published",
  "package": "transformers",
  "summary": "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.",
  "version": "5.9.0",
  "ecosystem": "pypi",
  "published_at": "2026-05-20T14:50:45.337Z"
}

{
  "url": "https://pypi.org/project/torch/2.12.0/",
  "event": "published",
  "package": "torch",
  "summary": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
  "version": "2.12.0",
  "ecosystem": "pypi",
  "published_at": "2026-05-13T14:55:53.234Z"
}

{
  "url": "https://pypi.org/project/pydantic/2.13.4/",
  "event": "published",
  "package": "pydantic",
  "summary": "Data validation using Python type hints",
  "version": "2.13.4",
  "ecosystem": "pypi",
  "published_at": "2026-05-06T13:43:02.641Z"
}

{
  "url": "https://pypi.org/project/fastapi/0.136.3/",
  "event": "published",
  "package": "fastapi",
  "summary": "FastAPI framework, high performance, easy to learn, fast to code, ready for production",
  "version": "0.136.3",
  "ecosystem": "pypi",
  "published_at": "2026-05-23T18:53:16.924Z"
}

{
  "url": "https://pypi.org/project/flask/3.1.3/",
  "event": "published",
  "package": "flask",
  "summary": "A simple framework for building complex web applications.",
  "version": "3.1.3",
  "ecosystem": "pypi",
  "published_at": "2026-02-19T05:00:56.027Z"
}

{
  "url": "https://pypi.org/project/django/6.0.6/",
  "event": "published",
  "package": "django",
  "summary": "A high-level Python web framework that encourages rapid development and clean, pragmatic design.",
  "version": "6.0.6",
  "ecosystem": "pypi",
  "published_at": "2026-06-03T13:02:41.720Z"
}

{
  "url": "https://pypi.org/project/requests/2.34.2/",
  "event": "published",
  "package": "requests",
  "summary": "Python HTTP for Humans.",
  "version": "2.34.2",
  "ecosystem": "pypi",
  "published_at": "2026-05-14T19:25:26.443Z"
}