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Release 2026-04 follow-up #2085

Closed
Closed
Release 2026-04 follow-up#2085
Milestone
2026-04 python-3.15 final

Description

@stonebig
stonebig
opened on Aug 16, 2026

Date: end October 2026

wanted:

  • security based release:
    • python 3.15.2, 3.14.10, 3.13.18
    • wppm -sa : security-audit, check your current packages version with security alerts posted
    • as said "uv" Charlie Marsh, AI implies unsafe memory langages must die very quickly
  • WinPython-3.15 slim is with:
    • 90% of packages
    • but not jupyterlab: pyyaml and h5py strained maintainers
  • speeding-up with AI:
    • simplify the monitoring process of new packages versions
    • automate to improve security of the publishing process
  • usefull "Local AI" level: jupyter-ai
  • WinPython-3.10.14slim_post1 re-spin is to provide a more compressed -mx9 version, back below 650 MB of virustotal.com (nothing else changed)

remark:

  • october 20-26th 2026 security shows the model of fire & forget has a weakness:
    • using only wheels protects the emiter
    • so adding the wppm -sa / --audit option for any users to check himself easily
    • maybe some patch releases of pylock.toml shall exist per version
  • free-threading maturity > python-3.15 : PEP-805-safe-parallel-python
  • JIT maturity > python-3.15: PEP 836 – JIT Go Brrr
  • Local AI hypothesis:
    • Q4 2026 for MainStream Laptops,
    • Q2 2027 for Most Laptops
    • OpenAI / Microsoft / Meta / Google ... do love Python, the Python community is blessed to have these supporters

Activity

  1. stonebig
    added this to the 2026-04 3.15 final with free-threading milestone on Aug 16, 2026

  2. stonebig commented on Aug 16, 2026

    @stonebig
    stonebig
    on Aug 16, 2026
    ContributorAuthor

    Audit-trail:

    • HouseKeeping and re-organization with Claude before new cycle:
      • removes "--pre" as a default build option
      • by default, only build on wheels
      • switch to new build_winpython_cycle.yml cloud workflow
    • get package version assistance from Claude (check_updates.py):
      • spyder-6.1.6 indirectly requires autopep-2.0.4 via python-lsp-server[all] ... signaling it's old
      • mistralai[workflow-payload-encryption] limits to cryptography-47.0.4 ... removing mistralai
      • httpie is help-essly flawed and un-maintained: removing
      • updating to pass security advisory: pyjwt, pygments, nbconvert, gitpython, mako, pypdf, joserfc, soupsieve, bleach, yt-dlp, asteval, ujson, pydantic-settings, mistune, nltk, pyasn1, aiphttp, h2, sqlparse
      • wtf: did put cython-3.3.0a1 in release of last cycle, was intended only for 3.15... so ''--pre" removal will avoid it next time
      • reduce manual preparation work
      • 80 packages upgrades
      • security check: tornado-6.5.8, pypdf-6.16.2
    • Python-3.15.0rc2 (2026-09-01)
    • remark: AI is essential for security defense, nowodays
    • remark: reading that new AI-dev oriented Windows 11 will pre-install python-3.14
    • Claude taking a stab at simplifying the Cloud run+publishing (simpler than Riemann hypothesis, so I believe in you):
      • an option "all" in build_winpython_cycle.yml to launch all builds at once
      • publish direct from the workflow (to github): now 30 minutes from click to "draft" published on github
      • automate the changelog
    • as part of security enforcement, slimf version is not built until tornado publishes a free-threading compatible wheel
    • AI summary:
      • Claude did miss one cloud CI fail, had to notice
      • Claude automating things makes things less pretty, but automation is a must, may tweak after living the result

    b1 (2026-09-07)

    • remark: Python at 52% tutorial marketshare on pypl.github.io as of early september 2026
    • Claude proposed something not pertinent, asked to revert with explanation ... may help AI get your taste, and your brain to stay a brain
    • python-3.15 arrivals:
      • scikit-learn-1.9.1, numba-0.68.0rc1, matplotlib-3.11.2 , 61% coverage
      • scipy-1.8.1
      • pandas-3.0.6, statsmodels-0.15.0, plotnine-0.15.8, aiofile-3.11.1, 71% coverage
      • all other small ones:
      • 3.15 slim at 78% coverage,
      • 3.15 slimf at 71% coverage
    • datasette-0.65.5 security fix
    • httpx2-2.11.0 security fix
    • gitpython-3.1.62 security fix
    • pydantic-2.14.0b2, so ok for python-3.15 and 3.15t
    • remark: still no jupyterlab possible on 3.15 (pywinpty)... but numba rc, the historic bottleneck, is this time 3 weeks ahead of release

    b2 (2026-09-27: 78% of a python-3.15 slim)

    • markupsafe-3.0.4 for python-3.15 and 3.15f
    • numba-0.68.0 for python-3.15
    • include missing upgrade packages
      • 3.15 slim at 82% coverage,
      • 3.15 slimf at 74% coverage
    • Python-3.15.0rc3 (2026-10-01)
    • remark: Python at 53.9% tutorial marketshare on pypl.github.io ... It may reflect now the % of code read by eyes
    • remark: jupyterlab is a concern for Python on windows, as pywinpty maintainer has disappeared from github
    • remark: python-3.15.0 will be the first version with numba available at launch day, previously it was the last package made available
    • remark: about 7 packages update for security fix
    • remark: mistral-vibe with it's strict (and old) dependancies version is an examlpe of what can't go in winpython
    • remark; jupyter-ai is more flexible... but may need nodejs for most clients

    b3 (2026-10-04: python-3.15 slim at 82% of Python-3.14 slim)

    • httptools-0.9.0, pyarrow-26.0.0, streamlit-1.59.1 for python-3.15
    • pydantic-2.14.0
    • polars-2.0.0
    • aiohttp for 3.15
    • python-3.15.0 final
    • include missing upgrade packages
      • 3.15 slim at 87% coverage,
      • 3.15 slimf at 77% coverage
    • Qt stack but missing h5py, so spyder and plotpy
    • include missing upgrade packages
      • 3.15 slim at 90% coverage,
      • 3.15 slimf at 77% coverage
    • security: langgraph-sdk-0.4.4, multidict-6.9.1, werkzeug-3.1.9
    • simplify a little maintenance: pushing pylock and requirements to cloud
    • jupyter-ai (for slim)

    b4 (2026-10-11: python-3.15 slim at 90% of Python-3.14 slim: qt stack, yet no spyder nor jupyterlab)

    • pywinpty-3.1.0 for python-3.15.0 (2026-10-15)
    • tornado-6.6rc1 for python -3.15t
    • 2026-10-26 security:
      • nltk removed: too slow to fix a ceuity and now sha-256 of pip and of github do contradict for nltk-3.10.4
      • brotli removed: too slow, then a security fix
      • python-3.15.2, python-3.14.10, python-3.13.18 , do secure the certificate issue
      • pip-26.2.3 (as pip-26.2.2 certifi-2026-10-20 said too nuclear)
    • duckdb-2.0.0
    • PyYAML-7.0.0 for python-3.15 jupyterlab is blocking 46 packages. will bring 3.15 slim straight to 97%
    • remark: intresting in these more costly disk times: polars free-threading is bloked per a GB space limie on pypi Project Limit Request: polars-runtime-compat - 50 GB pypi/support#11990
    • polars-2.1 handles recursive CTE (when no truly recursive CTE ?)
    • morning fix to wppm: wppm-17.13.20261027
    • re-spin to be package security-alert free on release... also it doesn't stay that long nowodays
    • remark: with pip-26.2.2, local build is now 10% faster
    • include wppm -sa : security-audit, gives packages version with security alerts posted
    • wppm-17.14.20261027, with wppm -sa self audit feature... the most important thing of this cycle.
    • Aaaaaaaaargh: between each local build run, security alerts are poping-up, learning osv.dev (ran by google team) is not particularly more active
    • Aaaaaaaaa: another alert, 1 hour later, so before one cycle.. it starts to be long in the tooth
    Image

    rc (2026-10-2x)

    • postponed next cycle:
      • h5py for python-3.15 for python-3.15 plotpy and keras , 3 packages
      • scikit-image-0.27.0 for python-3.15 (october 27th for a rc1... )
      • polars for 3.15t not yet there... surely next weeks
      • SIMPLIFY: wppm.piptree easier to use in jupyterlite ?
      • adjust further Distribution size ?
      • an opencv torch ultralytic thing ?
  3. stonebig
    pinned this issue on Aug 23, 2026

  4. stonebig commented on Sep 6, 2026

    @stonebig
    stonebig
    on Sep 6, 2026
    ContributorAuthor

    WinPython 2026-04 (2026-09-07)

    Changes from WinPython 2026-04:

    • Infrastructure:
      • SIMPLIFY the check for packages in need of security fix, mature upgrade, new version, blocked
      • SECURITY drop non-wheel package: tornado for free-threading
      • python-3.15.0rc2
      • SIMPLIFY publication: build all versions in one "build_winpython_cycle.yml" step, to publish automaticaly on github
    • New Packages:
    • rfc3987-syntax, lark from jsonschema[format-nongpl]
    • Upgraded Packages:
      • jupyterlab-4.6.3, cython-3.2.9, scipy-1.18.1
      • and 70 other packages
    • Removed Packages:
      • mistralai
      • no slimf (python free-threading) till a tornado wheel
    • Differences among builds:

    Built and published directly on a github tag via Github Actions:

    Binaries at:

    Next build: b2

    • automate and simplify further
    • larger 3.15 slim
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  5. stonebig commented on Sep 27, 2026

    @stonebig
    stonebig
    on Sep 27, 2026
    ContributorAuthor

    WinPython 2026-04 b2 (2026-09-27)

    Changes from WinPython 2026-04 b1:

    • Infrastructure:
      • only wheels, but specific beta wheels for 3.15: pydantic-2.14.0b2, numba-0.68.0rc1, llvmlite-0.50.0rc3
      • python-3.15.0 slim and slimf: slim at 78% of usual packages (missing jupyterlab and qt stack)
    • New Packages:
    • Upgraded Packages:
    • Removed Packages:
      • tornado-6.6a1 wheels now exists for python free-threading
    • Differences among builds:
      • slimf (free-threading) are missing Qt
      • python-3.15 is missing jupyterlab (because of markupsafe, pyyaml, pywinpty)

    Built and published directly on a github tag via Github Actions:

    Binaries at:

    Next build: b3

    • numba official
    • hope of unlocking news for markupsafe, pyyaml, pywinpty
    • what-to-do about spyder/python-3.15

  6. stonebig commented on Oct 4, 2026

    @stonebig
    stonebig
    on Oct 4, 2026
    ContributorAuthor

    WinPython 2026-04 b3 (2026-10-04)

    Changes from WinPython 2026-04 b2:

    • Infrastructure:
      • still one specific beta wheels for 3.15: pydantic-2.14.0b2
      • python-3.15.0 slim and slimf progress: slim at 82% of usual packages (missing jupyterlab and qt stack)
    • New Packages:
    • Upgraded Packages:
      • numba, markupsafe
    • Removed Packages:
    • Differences among builds:
      • slimf (free-threading) are missing Qt
      • python-3.15 is missing jupyterlab (because of pyyaml, pywinpty)

    Built and published directly on a github tag via Github Actions:

    Binaries at:

    Next build: rc

    • a workaround for pyyaml and pywnpty, so jupyterlab can be on python-3.15 ?
    • python-3.15 slim reaching 88% of packages would be a grand success.
    • may shift by 1 week to get jupyterlab: spyder or jupyterlab, one must be on board

  7. stonebig commented on Oct 11, 2026

    @stonebig
    stonebig
    on Oct 11, 2026
    ContributorAuthor

    WinPython 2026-04 b4 (2026-10-11)

    Changes from WinPython 2026-04 b3:

    • Infrastructure:
      • python-3.15.0 final
      • python-3.15.0 slim at 90% of usual packages (missing jupyterlab and spyder)
    • New Packages:
      • jupyter-ai
    • Upgraded Packages:
    • Removed Packages:
    • Differences among builds:
      • slimf (free-threading) are missing Qt
      • python-3.15 is missing jupyterlab (because of pyyaml, pywinpty)

    Built and published directly on a github tag via Github Actions:

    Binaries at:

    Next build: final

    • pyyaml for python-3.15, tornado-6.6 final
    • shifted by 1 week hoping to get spyder or jupyterlab on 3.15, one must be on board
    • hoping to get python-3.15.0 slim at 92%

  8. stonebig commented on Oct 27, 2026

    @stonebig
    stonebig
    on Oct 27, 2026
    ContributorAuthor

    WinPython 2026-04 final (2026-10-27)

    WinPython 2026-04 is the result of 2 month of work to :

    • keep packaging updated and improve overal security,
    • to push Python-3.15 support,
    • to simplify maintenance.

    Changes from WinPython 2026-04 b4:

    • Infrastructure:
      • SECURITY: python-3.15.2, python-3.14.10, python-3.13.8
      • SECURITY: pip-26.2.2, certifi-2026.10.23
      • SECURITY: wppm -sa / --audit gives users the everyday security bulletin on their current packages version
      • just released version shall be wppm -sa alert-free
      • simplified local build.
    • New Packages:
    • Upgraded Packages:
      • all security alert fixed ... at the moment of build
    • Removed Packages:
      • nltk: don't keep slow-on-security packages
    • Differences among builds:
      • slimf (free-threading) are missing Qt
      • python-3.15 is only 90% complete: missing jupyterlab (because of pyyaml)
      • jupyter-ai only in 3.13 and 3.14 slim

    Built and published directly on a github tag via Github Actions:

    Next cycle:

    • jupyterlab for python-3.15 on Windows
    • improve user security: automatic post-security release of pylock.toml ?
    • in the mean time, you can enjoy security alerts per a mere wppm -sa
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    0cb972e0fc8f4bfb55e81a46aed05c7f 49124fea27d46230c9a78b20f8d3a5c785f05e38 9c63dacae921ef8250704d910c9d04bfacf37e962c52b13e5737fc3695ec1132 WinPython64-3.14.10.0dotf.zip 29 066 048 Bytes 01332b59efd04466acc8ca5b1db14462a923425b240755ebb73189d2d0773d37
    a130fa33164991a66882f3976be78319 169908b34c644868985b39f77429b8db8c1aa6ef 0188dfddeaea19a42ddd6e41ac22711b8790364eed7990f0d6c38ee586838cd0 WinPython64-3.14.10.0slim.7z 682 187 410 Bytes 195b715282ae6dd61e57ae49119805a2b74d07fce1eb293c9d7e23b121665fc2
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    f7228cfd12fbe54558675b6832ca50a7 acdeee5fc3aed1805de156eb093c4bb7f4dbdb0b e86c9a83b286689ceb121e799e2be2033f4454b41e6e17b7a23331285301c670 WinPython64-3.14.10.0slimf.7z 431 609 058 Bytes 41cb2fb15cfe7b4ff969bd933e0bc00afd7318ea7c7245e8665795a1a4096753
    ef3f86795f0566ed64c3eaed9276a8b0 03ae88438ce1e0415dd3ad75af0e1afd0676b596 f6642d708da42974ecfdcf0e6e71f033f2b60eb42c2779f0f7b4a5b93930cf7c WinPython64-3.14.10.0slimf.exe 431 824 652 Bytes 97c60eefd7e69e54a24a0e313daf9a39ace0fbde4212f6f76ed23a97ced1b803
    f094e1778957744edbbcbf0a652dc7cf ecca0932fded05b57cc74e4e55361ce924516aed b1f27e22b795c902087f28d1f716a484fb59f9452fe40844b54d81fdb7680d39 WinPython64-3.15.2.0dot.exe 19 031 887 Bytes b34c64a950a9edd654d7249fe5e37a43f659c1b28dd4a927f3f92a78b5f9741d
    9baed0dd1e9a456a954e552bc4f5a63d 9b59c0f2ec378a5dc3415becc7a3fb4d8f388fba 6728ce28222d8d585a5984746768f7d37b0e17bac88de0fd7e4207c2656e680f WinPython64-3.15.2.0dot.zip 29 982 984 Bytes 0cd89f10be83c8779cb7908b682a79d6a7c58b28e5585a14d3d621e415db3158
    e6728377e0975772b5a2b9f56ccb382b 0e4b70be5c0411e0f6ef16567c20d45ddf0864aa 042be98592bf0446ec257c490814d915edd8f9987c8a63879582715f18fc7d50 WinPython64-3.15.2.0dotf.exe 19 072 621 Bytes 93f8e9512d61e9170b4244ef8cf8f1fd416d4cc8867717474d438cc6775cfa0b
    d3741a096891708c75b12911985ae949 6f2c3fd6d0fd82dfe3ab8bc0e65a9b6c896a5bd9 ebef1c113244d49f429db66454c57bb0a7538deb4eb0c647e220319e8379e619 WinPython64-3.15.2.0dotf.zip 30 103 590 Bytes 8a31524e04c6626a336a702e19bec2c122b1b90be5c99ba02753ff82739242cf
    648023f2153086fe0726f6bf16696665 e3af1de113f73a186bb6b321b0262667be440325 567596ca306ea8f1162c6c681777ca1f342f8b0ab071d7eca22b63f2eb0c6760 WinPython64-3.15.2.0slim.7z 538 907 332 Bytes 540b181e4fd1e2536624b727792b77e8a9b343aa9e8baede73157ed2d2131b7a
    6540c6ded602c8522d0008adf4c4e0eb b4f93433e8bc8164f71d2576eaccf62a65d2e760 20769ff2e8b91653913e8cceb875f87b65905f67536f0b3a147ec65b7e68f448 WinPython64-3.15.2.0slim.exe 539 122 799 Bytes 04c3ab8230afb87f52feb11c202492fefdd10422594ab6b0d492c00bc8189e40
    707cdcdd9514df5b7dba778c4050cd78 0c9f4e8dd043eb1afa7508bc2bc65570dbbfc4aa 77989212ebc0bd39b202f71a5941bd4e2a7897887586b2e1216ca553b38ae13f WinPython64-3.15.2.0slimf.7z 310 351 294 Bytes d46d86dbc648b2a1f18576c32e5346c6f108932f5b692ca4607daf20a40eb775
    0b7cd528f051043578965792de47d011 ebab912dc73afc3558015fc59cccd13357379fef c3e83f71a357956aa8d9a98d852e7f51bee43d98c662a38925d521d95b9753c5 WinPython64-3.15.2.0slimf.exe 310 566 930 Bytes 573752fba9a47874b3ea8f9a0f93065a9adc391f02afb6917d5630ca49af64f9

    pylock and requirements versions: (now also in the winpython/changelogs comits), and how-to use with pip:
    . with a requirement file:
    . pip download --dest C:\your_temp_Wheelhouse --no-deps --require-hashes -r requir.64-3_14_10_0slim.txt
    . pip install --no-deps --no-index --trusted-host=None --find-links=C:\your_temp_Wheelhouse --require-hashes -r requir.64-3_14_10_0slim.txt
    . with a pylock file:
    . pip install --no-deps --require-hashes -r pylock.64-3_14_10_0slim.toml --no-warn-script-location

    MD5 SHA-1 SHA-256 Binary Size blake2b-256
    d7933836c16931d2db62b1b6fa14fe7c 2674501a91a1e30d82bd3f5d475e508e08abc846 a71c8603e1a1ab51f06475ffd16b1e55d75b1f8a1d4a62d2acafed8f0b569418 pylock.64-3_13_18_0dot.toml 3 062 Bytes 8e420ded8548ab32a6a909ffc876ec08aae656df9ccd53ce635928d02db7ca60
    9123e32c0bde06b662f53b04ce65ebb3 473bbbc98897f2b56eba20145f5cb4092bca9139 c08412e66eb198d4464a37f5ce8d5ad2e6cc0d08f9ce2423862d3e0699c82d71 pylock.64-3_13_18_0slim.toml 199 999 Bytes 8706371f179b9804add5b5bd7da4d74ba4ef9980ba77d3887b91649d1528a44f
    d7933836c16931d2db62b1b6fa14fe7c 2674501a91a1e30d82bd3f5d475e508e08abc846 a71c8603e1a1ab51f06475ffd16b1e55d75b1f8a1d4a62d2acafed8f0b569418 pylock.64-3_14_10_0dot.toml 3 062 Bytes 8e420ded8548ab32a6a909ffc876ec08aae656df9ccd53ce635928d02db7ca60
    d7933836c16931d2db62b1b6fa14fe7c 2674501a91a1e30d82bd3f5d475e508e08abc846 a71c8603e1a1ab51f06475ffd16b1e55d75b1f8a1d4a62d2acafed8f0b569418 pylock.64-3_14_10_0dotf.toml 3 062 Bytes 8e420ded8548ab32a6a909ffc876ec08aae656df9ccd53ce635928d02db7ca60
    0e9afce865fd5f2666b02a13aa465b8b a4617fd860136516bbefb1a398384666d35eb0db 57240682d61f8ae514d457c15c20a679f344d0089d92bc9d6f71540022edbcac pylock.64-3_14_10_0slim.toml 210 287 Bytes 9e0bddfed22469d4c8cde6d5e23aaf8faede172323e4752bd930cabb6c40c666
    9d92799f52316f97d42a23332e694aa1 5d69eaac91a41e028f5216e8594f6f46027093f9 989148c42740c9d828654b164650495da880989d9378e14bbe2128accc28abba pylock.64-3_14_10_0slimf.toml 177 514 Bytes 313358f7c5ab719a6ea56456149d87726fb91931912dc58bbf4aaa4b4dc5a3fc
    d7933836c16931d2db62b1b6fa14fe7c 2674501a91a1e30d82bd3f5d475e508e08abc846 a71c8603e1a1ab51f06475ffd16b1e55d75b1f8a1d4a62d2acafed8f0b569418 pylock.64-3_15_2_0dot.toml 3 062 Bytes 8e420ded8548ab32a6a909ffc876ec08aae656df9ccd53ce635928d02db7ca60
    d7933836c16931d2db62b1b6fa14fe7c 2674501a91a1e30d82bd3f5d475e508e08abc846 a71c8603e1a1ab51f06475ffd16b1e55d75b1f8a1d4a62d2acafed8f0b569418 pylock.64-3_15_2_0dotf.toml 3 062 Bytes 8e420ded8548ab32a6a909ffc876ec08aae656df9ccd53ce635928d02db7ca60
    be295a85f57f937d11da4ef89e6cd20d 5a66a229ef7efbb0e064a931d148d47ce909773d 1224f58aa47a0339d0ce90cc71506f32587a49ca09f763476cede70436a3f409 pylock.64-3_15_2_0slim.toml 179 316 Bytes b8cf00492f08462f40f90478b39aabdb7216c6b36ef84b511ab1609f2399eb80
    8a3b68f9a9155c0c577a6560601abb8d 9930935e50ad079ec77e0c2f97745e0ee56f9697 4147b9fd7ccb466e8562f49a5e72c347ba2e94327a16a51b84da60c1c791572a pylock.64-3_15_2_0slimf.toml 155 335 Bytes dac5ef7cd9e8909d60adcffe3f60cc27c2c32f6e1ead099552634f21b9c33f21
    b07c2406db39392bf612207b17a8b7dd 93a515d2a3ade580965fa69ab97b477a676cc738 3374bb78e1a5f947f5a83cc851cb0267169ff18dad673cb043f790af7f71b7b6 requir.64-3_13_18_0dot.txt 836 Bytes 39b912da1f4ebf4b749a8c047c7647e819e6820becce9c97fbda7da40d9a52c5
    09be08047c51ff68b7068d37fcb02bd9 d96003d8b699a5d36853c45cb829b10ed92ca5b0 fef1766e3f5f5837abca76019bef00d7c48f2c84893ff69efa45797b44d6ed97 requir.64-3_13_18_0slim.txt 54 914 Bytes e32843746abf18ea6fc21526e0d8aa6c390093007df6dbb2e540c7f5c229ad80
    b07c2406db39392bf612207b17a8b7dd 93a515d2a3ade580965fa69ab97b477a676cc738 3374bb78e1a5f947f5a83cc851cb0267169ff18dad673cb043f790af7f71b7b6 requir.64-3_14_10_0dot.txt 836 Bytes 39b912da1f4ebf4b749a8c047c7647e819e6820becce9c97fbda7da40d9a52c5
    b07c2406db39392bf612207b17a8b7dd 93a515d2a3ade580965fa69ab97b477a676cc738 3374bb78e1a5f947f5a83cc851cb0267169ff18dad673cb043f790af7f71b7b6 requir.64-3_14_10_0dotf.txt 836 Bytes 39b912da1f4ebf4b749a8c047c7647e819e6820becce9c97fbda7da40d9a52c5
    0fbb565cceaffa86a1109118755bbd8c 1e0fcc4599c84bc45e186ebe6234535f947130b8 7f974186f719bbf1a8b4bef813ddeee4e424278d08b7f687a838443fc5b3d260 requir.64-3_14_10_0slim.txt 57 786 Bytes 480710d5c727a6332c2109621e1fc123ad32e124d6d89725985fe2ecbe1a0a6e
    44f66ac76ac86d20b8389ee7ab2ca23d 01875465f7e040ff7002b2792f70fa3fc1b908fa ff63920d075cf5b0ce975b265491104ecb87d73be568b049220b4b9996ecad0f requir.64-3_14_10_0slimf.txt 48 791 Bytes f469f0f5e296164ec5f0fd8563afa038c918db9abcde678ba49eb4c4d4c17deb
    b07c2406db39392bf612207b17a8b7dd 93a515d2a3ade580965fa69ab97b477a676cc738 3374bb78e1a5f947f5a83cc851cb0267169ff18dad673cb043f790af7f71b7b6 requir.64-3_15_2_0dot.txt 836 Bytes 39b912da1f4ebf4b749a8c047c7647e819e6820becce9c97fbda7da40d9a52c5
    b07c2406db39392bf612207b17a8b7dd 93a515d2a3ade580965fa69ab97b477a676cc738 3374bb78e1a5f947f5a83cc851cb0267169ff18dad673cb043f790af7f71b7b6 requir.64-3_15_2_0dotf.txt 836 Bytes 39b912da1f4ebf4b749a8c047c7647e819e6820becce9c97fbda7da40d9a52c5
    d809427d604bb7ec5fbe926f44fedc05 ea92e994616517a257fcc82f05693ed5e4980645 3f374149e31eaa4b3b6e33bbb464ed31892aa00ec98215d085c4cce1c2f40600 requir.64-3_15_2_0slim.txt 49 304 Bytes 83faaea4f3823f07a33a6be40cba337cbf1590c22fda9be55c6720454940f6b7
    0204ce22c52879e634e69eee5da4aafa ef205d78eb98a905630ceb51a99d9a7e92f56bdd fc7efae9ffcd0170e1f0bb27a04b958fd310d24870e795ad66faa961cf630983 requir.64-3_15_2_0slimf.txt 42 727 Bytes d53a395c088b0257b5cf413e65986e094385909e7d2e3bf3c19e80913c470dac

    2026-10-29 re-spin of WinPython-3.14.10 in a more compressed for to get back below 650Mo:

    MD5 SHA-1 SHA-256 Binary Size blake2b-256
    89757aa24963eabbc61fe08cedba33ac 93cc782bd24e29f7c71eed819f3a19753f28012a 99df4d8f58db2fdcda3e629cba5d1550207b396a27c74b78bd96b753530bb217 WinPython64-3.14.10.0slim_post1.7z 667 873 591 Bytes 590a6085fbcfa53cd71329dee3a0b4ffd62ac08c2f196a2ddc6d2b8c6127d90b
    436fea539e8ec3c146c0e7395aa91c76 69f919858af98db2ac8d7277c471306a844ccb74 b9bb622ee95e78a326ddce9e1a808e3c38edc6853bda58a6c078fd05b866a771 WinPython64-3.14.10.0slim_post1.exe 668 088 786 Bytes 2dc1614b9322a92e62867c4bf63f3aafacf168adc81fd9ef8ba9cf9b403c6c42

  9. stonebig commented on Oct 29, 2026

    @stonebig
    stonebig
    on Oct 29, 2026
    ContributorAuthor

    Post-mortem of the cycle (2026-10-29):

    • security is not a given, can be lost overnight, so users can now self-check packages alert with
      • wppm -sa or wppm --audit
    • winpython-3.14.10.slim is slightly too big for virustotal.com by 1Mo, found after release (sorry), forcing:
      • a re-spin for winpython-3.14.10.slim with higher compression, -mx7 instead of -mx9, to fit back into 650mo, with nothing else changed
      • the need to add the option to launch only "slim" in build_winpython_cycle.yml and have a "post" parameter added in cycle/2026_04.toml
      • ==> re-spin is winpython-3.14.10.slim_post1
    • a warning shall now be raised in the cloud build if an object is > 650MB , to avoid post-production inconvenience next time.

  10. stonebig commented on Oct 29, 2026

    @stonebig
    stonebig
    on Oct 29, 2026
    ContributorAuthor

    default of sourceforge is switched to WinPython64-3.14.10.0slim_post1.exe

  11. stonebig
    closed this as completedon Oct 29, 2026

  12. stonebig commented on Oct 29, 2026

    @stonebig
    stonebig
    on Oct 29, 2026
    ContributorAuthor

    And now, new thing, the advisory updates after release:

    • like radio-activity, it was already there in the past
    • but now, it's easier to check with 'wppm --audit'
    • also an hour-fresh alert on pydantic like https://github.com/pydantic/pydantic/releases/tag/v2.14.2 is on the release tag at 2026-10-29 18:00:00Z , but not immediatley published on osv.dev ... an impossibly long 1 hour lag ?

    Rule-of-thumb: with AI advent, it seems about 2 security alert per day, alert importance depending of your usage and internet connexion

    Security updates

    Advisories published 2026-10-28:

    Package From → To Advisory Severity Summary
    langgraph 1.2.11 → 1.2.14 GHSA-3fx2-cqw9-xr3c medium Unencoded identifiers in LangGraph SDK v3 streaming can redirect authenticated GET requests (also fixed in langgraph-sdk 0.4.6)
    tornado 6.5.10 → 6.6 GHSA-pcg2-g6cj-q92c medium Quadratic CPU usage when parsing HTTP headers with line folding
    tornado 6.5.10 → 6.6 GHSA-pw9p-v7r6-gx4p low Open redirect in RedirectHandler via protocol-relative URLs
    tornado 6.5.10 → 6.6 GHSA-r4j5-9xpp-3985 medium Event loop blocking and excess memory use from chunked bodies with many small chunks
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