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prune: sweep Data Analysis to the shortlist cap

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Per ADR-0001, maintainer-adjudicated at the Data & Science preview
review (2026-08-15, all rows live-verified). Keeps: pandas and polars
as Obvious Choices, ibis as Challenger — renamed to ibis-framework per
the PyPI-name convention (maintainer-confirmed; bare 'ibis' on PyPI is
an unrelated template engine). aws-sdk-pandas returns as a sub-item
under pandas per maintainer direction (sub-items sit outside the cap,
awesome-pytest pattern).

Removed (downloads are PyPI last-30-days via BigQuery, 2026-08-15):

- data-profiling (18.2K/month under fg-data-profiling): YData's
  profiler, but the listed name is not on PyPI and a profiling layer is
  not an obvious choice for this use case
- datasette (178.6K/month): data publishing and exploration tool, a
  different job
- desbordante (3.4K/month): no adoption
- modin (1.6M/month): the pandas-at-scale job moved to polars and dask;
  repo quiet since 2026-02
- pathway (16.5K/month): stars far ahead of usage (62.5K stars); ETL
  job, mis-homed here
- percentify (182.2K/month): personal project, 11-month-old repo, 418
  stars — count not credible against the footprint

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-08-15 23:57:39 +08:00
co-authored by Claude
parent 9290f18153
commit 1463ba8286
1 changed files with 2 additions and 10 deletions
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README.md
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@@ -480,18 +480,10 @@ _Libraries for serializing complex data types._
_Libraries for data analysis._
- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
- [data-profiling](https://github.com/Data-Centric-AI-Community/fg-data-profiling) - Generate detailed data profiling reports for pandas DataFrames.
- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
- [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
- [ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
- [modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code.
- [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
- [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
- [percentify](https://github.com/data-centt/percentify) - Exploratory stats and data-quality diagnostics/profiler, that supports both pandas and Polars DataFrames inputs.
- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas)
- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
- [ibis-framework](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
### Data Ingestion / ETL