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)
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derived packages
- 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 |
|---|---|---|
| _constraints | 0000000277 277 Bytes | |
| _link | 0000000123 123 Bytes | |
| _multibuild | 0000000086 86 Bytes | |
| _service | 0000000652 652 Bytes | |
| no-simd-minimal.patch | 0000001251 1.22 KB | |
| polars-1.36.1.tar.zst | 0003689730 3.52 MB | |
| python-polars.changes | 0000005859 5.72 KB | |
| python-polars.spec | 0000004575 4.47 KB | |
| series | 0000000022 22 Bytes | |
| vendor.tar.zst | 0054031105 51.5 MB |
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