polars
polars is an Exploratory analysis & notebooks skill for AI agents, published by CRAG666 in the dotfiles repository on GitHub. Skillspace rates polars B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Fast DataFrame library built on Apache Arrow with lazy evaluation, a query optimizer, and multithreaded parallel execution. Use as a faster pandas replacement for ETL and analytics on datasets from megabytes to roughly 100GB, and use its streaming, out-of-core engine to process larger-than-memory data that does not fit in RAM, with predicate and projection pushdown when scanning Parquet or CSV, plus joins, group-bys, window and rolling operations. For distributed multi-machine clusters consider dask or Spark.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.