polars

polars is an Exploratory analysis & notebooks skill for AI agents, published by polars-inc in the skills repository on GitHub. Skillspace rates polars C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Write fast, idiomatic Polars in Python using the lazy API, and answer natural-language questions about data in one shot. Use this skill whenever a task involves loading, querying, transforming, aggregating, joining, or analyzing tabular data (CSV, Parquet, NDJSON, or DataFrames). top-k, trends, period-over-period, distributions, time series, share-of-total, or writing, debugging, or speeding up Polars code, or translating pandas to Polars. Applies even when the user doesn't say "Polars," and is the default for Python data work when no dataframe library is specified. Covers expressions, window functions, group-bys, joins, the streaming engine for larger-than-memory data, and pandas migration. Not for Polars Cloud, On-Prem, distributed, or GPU workloads.

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

46

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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