{"slug":"polars","source_name":"polars","name":"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":-33.33,"pass_rate_pct":4.3,"total_cases":23,"passed_cases":1,"tokens_delta_pct":230.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-07-26T12:24:35.820245+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":-33.33,"with_pass_pct":33.3,"without_pass_pct":66.7,"tokens_delta_pct":230.1,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":false,"completed_at":"2026-07-26T12:24:35.820245+00:00","run_id":"c84b2bab-b7cf-4717-b10a-74cd08a6827b","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":null,"content_status":"clean","indexable":true},"license":"https://github.com/pola-rs/polars/blob/main/LICENSE","install_count":0,"manifest_hash":"5d2847da8c973eaefc1c13fb7db6e5eddd42777767b52844700681ad6a3cf6a4","raw_url":"https://app.decimal.ai/s/polars/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/polars"}