PyPI Releases

{
  "url": "https://pypi.org/project/transformers/5.13.1/",
  "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": "5.13.1",
  "homepage": "https://github.com/huggingface/transformers",
  "ecosystem": "pypi",
  "published_at": "2026-07-11T09:15:46.801Z",
  "requires_python": ">=3.10.0"
}

{
  "url": "https://pypi.org/project/langchain/1.3.13/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.13",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-07-10T23:06:07.012Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

{
  "url": "https://pypi.org/project/langchain/1.3.12/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.12",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-07-08T22:38:11.003Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

{
  "url": "https://pypi.org/project/torch/2.13.0/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "Apache-2.0 AND Apache-2.0 WITH LLVM-exception AND BSD-2-Clause AND BSD-3-Clause AND BSL-1.0 AND MIT",
  "package": "torch",
  "summary": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
  "version": "2.13.0",
  "homepage": "https://pytorch.org",
  "ecosystem": "pypi",
  "published_at": "2026-07-08T16:05:49.855Z",
  "requires_python": ">=3.10"
}

{
  "url": "https://pypi.org/project/django/6.0.7/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "BSD-3-Clause",
  "package": "django",
  "summary": "A high-level Python web framework that encourages rapid development and clean, pragmatic design.",
  "version": "6.0.7",
  "homepage": "https://www.djangoproject.com/",
  "ecosystem": "pypi",
  "published_at": "2026-07-07T13:51:20.007Z",
  "requires_python": ">=3.12"
}

{
  "url": "https://pypi.org/project/numpy/2.5.1/",
  "event": "published",
  "author": "Travis E. Oliphant et al.",
  "yanked": false,
  "license": "BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0",
  "package": "numpy",
  "summary": "Fundamental package for array computing in Python",
  "version": "2.5.1",
  "homepage": "https://numpy.org",
  "ecosystem": "pypi",
  "published_at": "2026-07-04T17:06:12.423Z",
  "requires_python": ">=3.12"
}

{
  "url": "https://pypi.org/project/transformers/5.13.0/",
  "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": "5.13.0",
  "homepage": "https://github.com/huggingface/transformers",
  "ecosystem": "pypi",
  "published_at": "2026-07-03T16:05:35.569Z",
  "requires_python": ">=3.10.0"
}

{
  "url": "https://pypi.org/project/langchain/1.3.11/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.11",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-06-22T23:00:31.619Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

{
  "url": "https://pypi.org/project/fastapi/0.139.0/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "fastapi",
  "summary": "FastAPI framework, high performance, easy to learn, fast to code, ready for production",
  "version": "0.139.0",
  "homepage": "https://github.com/fastapi/fastapi",
  "ecosystem": "pypi",
  "published_at": "2026-07-01T16:35:32.190Z",
  "requires_python": ">=3.10"
}

{
  "url": "https://pypi.org/project/numpy/2.5.0/",
  "event": "published",
  "author": "Travis E. Oliphant et al.",
  "yanked": false,
  "license": "BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0",
  "package": "numpy",
  "summary": "Fundamental package for array computing in Python",
  "version": "2.5.0",
  "homepage": "https://numpy.org",
  "ecosystem": "pypi",
  "published_at": "2026-06-21T20:56:16.657Z",
  "requires_python": ">=3.12"
}