{"slug":"mkurman-polars","source_name":"mkurman/polars","name":"Mkurman/Polars","description":"Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.","version":1,"lift":{"pass_rate_delta_pts":4.55,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":43.7,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-21T17:17:21.542371+00:00"},"skill_score":0.9545,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":4.55,"with_pass_pct":95.5,"without_pass_pct":90.9,"tokens_delta_pct":43.7,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-21T17:17:21.542371+00:00","run_id":"9f4f1550-544a-4e44-aed6-b18456cf5cc7","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"https://github.com/pola-rs/polars/blob/main/LICENSE","install_count":0,"manifest_hash":"f447f593ede61eea6e5474338a8476ec9fc37a06779676f0d67e23988c6cf251","raw_url":"https://app.decimal.ai/s/mkurman-polars/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mkurman-polars"}