No project description provided
Project description
Polars
Blazingly fast DataFrames in Rust & Python
Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow(2) as memory model.
- Lazy | eager execution
- Multi-threaded
- SIMD
- Query optimization
- Powerful expression API
- Rust | Python | ...
To learn more, read the User Guide.
Performance 🚀🚀
Polars is very fast, and in fact is one of the best performing solutions available. See the results in h2oai's db-benchmark.
Rust setup
You can take latest release from crates.io
, or if you want to use the latest features/ performance improvements
point to the master
branch of this repo.
polars = {git = "https://github.com/ritchie46/polars", rev = "<optional git tag>" }
Rust version
Required Rust version >=1.52
Python users read this!
Polars is currently transitioning from py-polars
to polars
. Some docs may still refer the old name.
Install the latest polars version with:
$ pip3 install polars
Documentation
Want to know about all the features Polars support? Read the docs!
Rust
Python
- installation guide:
$ pip3 install polars
- User Guide
- Reference guide
Contribution
Want to contribute? Read our contribution guideline.
[Python] compile py-polars from source
If you want a bleeding edge release or maximal performance you should compile py-polars from source.
This can be done by going through the following steps in sequence:
- install the latest rust compiler
$ pip3 install maturin
- Choose any of:
- Very long compile times, fastest binary:
$ cd py-polars && maturin develop --rustc-extra-args="-C target-cpu=native" --release
- Shorter compile times, fast binary:
$ cd py-polars && maturin develop --rustc-extra-args="-C codegen-units=16 -C lto=thin -C target-cpu=native" --release
Note that the Rust crate implementing the Python bindings is called py-polars
to distinguish from the wrapped
Rust crate polars
itself. However, both the Python package and the Python module are named polars
, so you
can pip install polars
and import polars
(previously, these were called py-polars
and pypolars
).
Arrow2
Polars has a fully functional arrow2 branch and will ship the python binaries from this branch. Arrow2 is a faster and safer implementation of the arrow spec. Arrow2 also has a more granular code base, helping to reduce the compiler bloat.
Acknowledgements
Development of Polars is proudly powered by
Sponsors
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for polars-0.8.22_beta.1-cp36-abi3-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8811021655e1ebc7a6ad9c8adbca1c644b07a7898e2cf998e6cb25ff02b4015c |
|
MD5 | 0566d4e0e82c99adca4671114cb1c11d |
|
BLAKE2b-256 | 1c6ef48db6741f12236627ca9c0ad31ee59bbfd968bfc045011083ab86c7034e |
Hashes for polars-0.8.22_beta.1-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3b69d2c954e2b2717cdca476dace7262252e09e536a941e5510f73ce75f451c |
|
MD5 | 2f651931487497fadfac7410aa76e25d |
|
BLAKE2b-256 | 435b0a44c779ed085a29951191780b689e3ca724b9772e2ec080a540bec56747 |
Hashes for polars-0.8.22_beta.1-cp36-abi3-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1b9ea0beaec9dc86f0cc3c1c170ea0d5eb39a5011686dafce7b941f537271a17 |
|
MD5 | 21123a074a1a632f375b8ad4713ac2a7 |
|
BLAKE2b-256 | c977b3a3dc046badd1b03fd5c5b3fe878b3748fa578cecaa74ef316faa0f0b72 |