Dataframes powered by a multithreaded, vectorized query engine
https://pola.rs/
Polars is a DataFrame interface on top of an OLAP Query Engine implemented in
Rust using Apache Arrow Columnar Format as the memory model.
- Lazy | eager execution
- Multi-threaded
- SIMD
- Query optimization
- Powerful expression API
- Hybrid Streaming (larger-than-RAM datasets)
- Links to home:darix:apps / python-polars
- Has a link diff
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout home:birdwatcher/python-polars && cd $_ - Create Badge
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Source Files (show merged sources derived from linked package)
| Filename | Size | Changed |
|---|---|---|
| _link | 0000000123 123 Bytes | |
| _service | 0000000211 211 Bytes | |
| no-simd-minimal.patch | 0000000389 389 Bytes | |
| polars-py-1.35.2.tar.gz | 0004641231 4.43 MB | |
| python-polars.changes | 0000005585 5.45 KB | |
| python-polars.spec | 0000002923 2.85 KB | |
| series | 0000000022 22 Bytes | |
| vendor.tar.zst | 0053914976 51.4 MB |
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