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@dependabot dependabot bot commented on behalf of github Jun 16, 2025

Bumps the classical-ml group with 2 updates in the /classical-ml directory: jupyterhub and pandas.

Updates jupyterhub from 5.2.1 to 5.3.0

Commits
  • 84adcbe Bump to 5.3.0
  • 81bd5ee Merge pull request #5048 from minrk/530
  • 6a96a9c Merge pull request #5051 from minrk/audit
  • 55aa7e7 npm audit fix
  • 20b11b2 latest changes
  • b42371d Merge pull request #5050 from jupyterhub/dependabot/npm_and_yarn/jsx/jsx-mino...
  • cfa4364 Bump the jsx-minor group in /jsx with 8 updates
  • 1d17471 Merge pull request #5049 from minrk/explicit-permissions
  • cb3391e set default permissions on workflows
  • 79782d0 Merge pull request #5047 from chilin0525/fix-outdated-wiki-link-for-less-priv...
  • Additional commits viewable in compare view

Updates pandas from 2.2.3 to 2.3.0

Release notes

Sourced from pandas's releases.

Pandas 2.3.0

We are pleased to announce the release of pandas 2.3.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.3.0 supports Python 3.10 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

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Bumps the classical-ml group with 2 updates in the /classical-ml directory: [jupyterhub](https://github.com/jupyterhub/jupyterhub) and [pandas](https://github.com/pandas-dev/pandas).


Updates `jupyterhub` from 5.2.1 to 5.3.0
- [Changelog](https://github.com/jupyterhub/jupyterhub/blob/main/RELEASE.md)
- [Commits](jupyterhub/jupyterhub@5.2.1...5.3.0)

Updates `pandas` from 2.2.3 to 2.3.0
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.2.3...v2.3.0)

---
updated-dependencies:
- dependency-name: jupyterhub
  dependency-version: 5.3.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: classical-ml
- dependency-name: pandas
  dependency-version: 2.3.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: classical-ml
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jun 16, 2025
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jun 16, 2025
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Dependency Review

✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.

OpenSSF Scorecard

PackageVersionScoreDetails
pip/jupyterhub 5.3.0 🟢 6.7
Details
CheckScoreReason
Security-Policy🟢 10security policy file detected
Maintained🟢 1030 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Code-Review🟢 8Found 7/8 approved changesets -- score normalized to 8
Packaging⚠️ -1packaging workflow not detected
Token-Permissions🟢 10GitHub workflow tokens follow principle of least privilege
Binary-Artifacts🟢 10no binaries found in the repo
CII-Best-Practices⚠️ 2badge detected: InProgress
Fuzzing⚠️ 0project is not fuzzed
License🟢 10license file detected
Signed-Releases⚠️ -1no releases found
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
SAST🟢 4SAST tool is not run on all commits -- score normalized to 4
Vulnerabilities⚠️ 034 existing vulnerabilities detected
pip/pandas 2.3.0 🟢 6.4
Details
CheckScoreReason
Binary-Artifacts🟢 10no binaries found in the repo
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
CI-Tests🟢 1030 out of 30 merged PRs checked by a CI test -- score normalized to 10
CII-Best-Practices⚠️ 0no badge detected
Code-Review🟢 825 out of last 30 changesets reviewed before merge -- score normalized to 8
Contributors🟢 1047 different organizations found -- score normalized to 10
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Dependency-Update-Tool⚠️ 0no update tool detected
Fuzzing🟢 10project is fuzzed with [OSSFuzz]
License🟢 10license file detected
Maintained🟢 1030 commit(s) out of 30 and 21 issue activity out of 30 found in the last 90 days -- score normalized to 10
Packaging⚠️ -1no published package detected
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
SAST🟢 7SAST tool detected but not run on all commmits
Security-Policy🟢 10security policy file detected
Signed-Releases⚠️ 00 out of 5 artifacts are signed or have provenance
Token-Permissions⚠️ 0non read-only tokens detected in GitHub workflows
Vulnerabilities🟢 10no vulnerabilities detected

Scanned Files

  • classical-ml/jupyter-requirements.txt
  • classical-ml/requirements.txt

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This pull request sets up GitHub code scanning for this repository. Once the scans have completed and the checks have passed, the analysis results for this pull request branch will appear on this overview. Once you merge this pull request, the 'Security' tab will show more code scanning analysis results (for example, for the default branch). Depending on your configuration and choice of analysis tool, future pull requests will be annotated with code scanning analysis results. For more information about GitHub code scanning, check out the documentation.

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Integration Test Results

Groups Tested: classical-ml/tests

Results
Test-Group Test Status
classical-ml/tests classical-ml-import-idp FAIL
classical-ml/tests classical-ml-import-pip FAIL
classical-ml/tests classical-ml-import-idp-jupyter PASS
classical-ml/tests classical-ml-import-pip-jupyter PASS
classical-ml/tests classical-ml-performance-idp FAIL
classical-ml/tests classical-ml-performance-pip FAIL

Overall Result: FAIL ❌

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