polars
High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
- Version
- 1.4
- License
- https://github.com/pola-rs/polars/blob/main/LICENSE
- Compatibility
- Requires Python 3.10+ for Polars 1.44.2. Install with uv pip install; optional extras enable Excel, database, cloud, pandas/NumPy, and GPU integrations.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
- Read
Files
- skills/polars/SKILL.md
- skills/polars/SKILL_CN.md
- skills/polars/references/best_practices.md
- skills/polars/references/core_concepts.md
- skills/polars/references/io_guide.md
- skills/polars/references/operations.md
- skills/polars/references/pandas_migration.md
- skills/polars/references/review.md
- skills/polars/references/transformations.md
Every link opens the file at its source, pinned to the revision this page describes.