API starters · Rank #18

B

cookiecutter-spatial-data-science

Grade B: derived only from the two verdicts below. How grades work

A project template for spatial data science projects marrying best practices from the respective disciplines of Geography and Artificial Intelligence.

ActiveDeps unknownFree

Why this verdict

How we check →
  • 1 commit by 1 contributor in the last 90 days (1 in the last 30). receipt ↗
  • Latest release v3.5.0, 347 days ago. receipt ↗

Snapshot: commit 7a72e64 on master, checked 2026-10-19 07:45 UTC. Receipts link to files at this exact commit.

Check before you commit
  • Manifest not found: package.json

What the README says you get

  • Data
    Data pipeline commandRun `./scripts/make_data.py`, which should be the data pipeline
  • Deploy
    Conda environment setupClone the default ArcGIS Pro Conda environment, `arcgispro-py3`
  • Deploy
    Python toolbox archiveCreate a zipped achive of the Python (`*.pyt`) toolbox
  • Deploy
    Live docs serverRun live MkDocs documentation server to view documentation updates
  • Deploy
    MkDocs documentation buildBuild the documentation using MkDocs from files in `./docsrc`
  • Testing
    PyTest test suiteruns all the tests in the `./testing` directory using PyTest

Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.

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History

Sep 29, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.

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DateMaintenanceDependenciesCommits (90d)
Oct 19, 2026ActiveDeps unknown1
Oct 12, 2026ActiveDeps unknown2
Sep 29, 2026SteadyDeps unknown2

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