Releases: buckaroo-data/buckaroo
Releases · buckaroo-data/buckaroo
0.13.2
0.13.1
0.13.0
0.12.15
Features
- feat: content-aware column widths, width estimation tests, and screenshot comparison infra (#606)
- feat: add opt-in compact_number displayer (#597) (#601)
- Add CLAUDE.md for Claude Code development guidance (#598)
- feat: add color_static color rule; use it to highlight join-key columns in compare (#594)
- feat: add /load_compare endpoint for col_join_dfs diff styling (#593)
Bug Fixes
Install
pip install buckaroo==0.12.150.12.14
0.12.13
Bug Fixes
- Fix left-pinned index column for summary stats (#587)
- fix: harden release workflow — tag-based versioning, no push to main (#581)
- fix: handle zero PRs in release notes; extract CHANGELOG updater to script (#580)
- fix: plain release notes fallback + sync version to 0.12.11 (#579)
- fix: MCP + server reliability, observability, and hardening (#578)
Other
- for the PR (#577)
Install
pip install buckaroo==0.12.130.12.4
Lazy Infinite Polars Buckaroo
This release adds Lazy Infinite Buckaroo
- when reading Polars LazyFrames for LazyInfinitePolarsBuckaroo, the entire dataframe is no longer loaded into memory
- Adds the execution framework that reliably executes code in separate processes with timeouts. This gives much better reliability when running on large dataframes in an interactive environment
- Uses the Execution Framework for summary stats for the LazyInfinitePolarsBuckaroo Widget.
- adds
read()that works on csvs, parquet, and many files to give a LazyInfinitePolarsBuckaroo widget that won't blow out your memory.
Polars Bug Fixes for 0.11.2
- Release 0.11.2
- Sort broken for polars https://github.com/paddymul/buckaroo/issues/410
- Polars doesn't display row indexes properly for PolarsBuckarooInfiniteWidget https://github.com/paddymul/buckaroo/issues/408
- Buckaroo isn't the default display method for Polars in Marimo https://github.com/paddymul/buckaroo/issues/409
0.11.1 Bug fixes
- Release 0.11.1
- Fixes sort for pandas with new column naming
- Fixes lowcode UI with new column naming
- More reliable default analysis for pandas
- Start of the ddd gallery for showing tricky dataframes
- Start of Patrick big file blog post