PyPI Releases

topic · code/pypi-releases

DOC.: code/pypi-releases
REV.: 57 evt
DATE.: 03-JUN-2026
SCOPE.: custom

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New published versions of watched PyPI (Python) packages.

§02

recent events

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showing 10 of 21 events in this window (57 total on topic). adjust the range or clear it with ALL.

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01[email protected]FastAPI framework, high performance, easy to learn, fast to code, ready for production{"url":"https://pypi.org/project/fastapi/0.137.0/","event":"published","author":…2026-06-14 13:42:57Z

EVENT. cmqdu3teID. cmqdu3tek1zuhnq0cuauikg48SRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/fastapi/0.137.0/",
  "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": "0.137.0",
  "homepage": "https://github.com/fastapi/fastapi",
  "ecosystem": "pypi",
  "published_at": "2026-06-14T12:51:29.067Z",
  "requires_python": ">=3.10"
}

02[email protected]Building applications with LLMs through composability{"url":"https://pypi.org/project/langchain/1.3.9/","event":"published","author":…2026-06-12 17:34:21Z

EVENT. cmqb7hp0ID. cmqb7hp0d1ajvnq0cekui98wxSRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/langchain/1.3.9/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.9",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-06-12T16:53:25.489Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

03[email protected]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.{"url":"https://pypi.org/project/transformers/5.12.0/","event":"published","auth…2026-06-12 15:35:01Z

EVENT. cmqb388jID. cmqb388jy19cvnq0c2rf3gnmtSRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/transformers/5.12.0/",
  "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": "5.12.0",
  "homepage": "https://github.com/huggingface/transformers",
  "ecosystem": "pypi",
  "published_at": "2026-06-12T14:39:17.009Z",
  "requires_python": ">=3.10.0"
}

04[email protected]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.{"url":"https://pypi.org/project/transformers/5.12.0/","event":"published","auth…2026-06-12 15:34:46Z

EVENT. cmqb37wlID. cmqb37wll19cpnq0cic0za6dcSRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/transformers/5.12.0/",
  "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": "5.12.0",
  "homepage": "https://github.com/huggingface/transformers",
  "ecosystem": "pypi",
  "published_at": "2026-06-12T14:39:17.009Z",
  "requires_python": ">=3.10.0"
}

05[email protected]Building applications with LLMs through composability{"url":"https://pypi.org/project/langchain/1.3.8/","event":"published","author":…2026-06-12 04:36:54Z

EVENT. cmqafpw7ID. cmqafpw7k12wpnq0c2xg37ntpSRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/langchain/1.3.8/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.8",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-06-12T04:20:33.266Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

06[email protected]Building applications with LLMs through composability{"url":"https://pypi.org/project/langchain/1.3.7/","event":"published","author":…2026-06-10 18:36:21Z

EVENT. cmq8etq7ID. cmq8etq7v0hxdnq0cxtziswn3SRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/langchain/1.3.7/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.7",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-06-10T18:20:33.069Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

07[email protected]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.{"url":"https://pypi.org/project/transformers/5.11.0/","event":"published","auth…2026-06-10 17:35:50Z

EVENT. cmq8cnwdID. cmq8cnwdw0hbbnq0cmrdec1l5SRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/transformers/5.11.0/",
  "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": "5.11.0",
  "homepage": "https://github.com/huggingface/transformers",
  "ecosystem": "pypi",
  "published_at": "2026-06-10T16:31:49.080Z",
  "requires_python": ">=3.10.0"
}

08[email protected]Building applications with LLMs through composability{"url":"https://pypi.org/project/langchain/1.3.6/","event":"published","author":…2026-06-10 01:37:32Z

EVENT. cmq7efiaID. cmq7efiam087jnq0cs4sco48oSRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/langchain/1.3.6/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.6",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-06-10T00:53:01.186Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

09[email protected]Building applications with LLMs through composability{"url":"https://pypi.org/project/langchain/1.3.5/","event":"published","author":…2026-06-10 00:37:28Z

EVENT. cmq7ca9pID. cmq7ca9pa07jxnq0cmu0ah07mSRC. key:cmpxakb6…

{
  "url": "https://pypi.org/project/langchain/1.3.5/",
  "event": "published",
  "author": null,
  "yanked": false,
  "license": "MIT",
  "package": "langchain",
  "summary": "Building applications with LLMs through composability",
  "version": "1.3.5",
  "homepage": "https://docs.langchain.com/",
  "ecosystem": "pypi",
  "published_at": "2026-06-10T00:15:20.041Z",
  "requires_python": "<4.0.0,>=3.10.0"
}

10[email protected]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.{"url":"https://pypi.org/project/transformers/5.10.2/","event":"published","auth…2026-06-04 19:24:19Z

EVENT. cmpzvwaxID. cmpzvwaxv02krlh0c0oonrsdeSRC. key:cmpxakb6…

{
  "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"
}

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