Polars
Lightning-fast DataFrame library with lazy evaluation and multi-threading.
60
Hero Score
Popularity
88
Performance
60
Ecosystem
25
Maturity
77
Dev Experience
50
⭐ 38,638 stars⬇ 11.0M downloads/wkFirst release: May 2020Last release: May 2026
Async Support: NoPlugin Extensions: GrowingSpeed: Very fastDoc Quality: HighLearning Curve: Medium
Pros
- • Very fast on large data (Rust, multi-core)
- • Lazy queries with optimizer reduce memory/work
- • Arrow-native with smooth Parquet/Arrow interop
Cons
- • Smaller ecosystem; many libs expect pandas
- • Expression syntax is a learning curve for pandas users
- • Some edge-case features/conveniences not yet at parity