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Polars

Library · Catalog tech@1

Fast DataFrame library written in Rust.

Categories
Matched as
  • polars

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. Polars has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.39,912 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Collecting
Adoption growth needs two observations of its own packages about 30 days apart.
Open models
No official models
No official model on Hugging Face, so this signal does not apply.
News
Collecting
News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of Polars’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of Polars’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
0published events that mention it
Events · 30 days
0published events that mention it
Previous 30 days
0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

  • pola-rs/polars

    Extremely fast Query Engine for DataFrames, written in Rust

    Official repositoryRust

    39.9K

Members 7repositories tagged with one of its aliases, most-starred first

  • dbcli/mycli

    Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

    Tagged polarsPython

    12K

  • ibis-project/ibis

    the portable Python dataframe library

    Tagged polarsPython

    6.7K

  • shy3130/tick-stock-panel

    TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源

    Tagged polarsPython

    5.4K

  • lk-geimfari/mimesis

    Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

    Tagged polarsPython

    4.8K

  • dathere/qsv

    Blazing-fast Data-Wrangling toolkit

    Tagged polarsRust

    3.8K

  • narwhals-dev/narwhals

    Lightweight and extensible compatibility layer between dataframe libraries!

    Tagged polarsPython

    1.7K

  • functime-org/functime

    Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

    Tagged polarsPython

    1.2K

Packages

“Is” packages are Polars itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 30the technology itself, most-adopted first

  • polars-compute

    Private compute kernels for the Polars DataFrame library

    Published from pola-rs/polarscrates.io

    2.4Mdownloads / 90 daysTop 50% on crates.io
  • polars-parquet

    Apache Parquet I/O operations for Polars

    Published from pola-rs/polarscrates.io

    2.3Mdownloads / 90 daysTop 50% on crates.io
  • polars-schema

    Private crate for schema utilities for the Polars DataFrame library

    Published from pola-rs/polarscrates.io

    2.2Mdownloads / 90 daysTop 50% on crates.io
  • polars-expr

    Physical expression implementation of the Polars project.

    Published from pola-rs/polarscrates.io

    2.2Mdownloads / 90 daysTop 50% on crates.io
  • polars-mem-engine

    In memory engine of the Polars project.

    Published from pola-rs/polarscrates.io

    2.2Mdownloads / 90 daysTop 50% on crates.io
  • polars-stream

    Private crate for the streaming execution engine for the Polars DataFrame library

    Published from pola-rs/polarscrates.io

    2.1Mdownloads / 90 daysTop 50% on crates.io
  • polars-pipe

    Lazy query engine for the Polars DataFrame library

    Published from pola-rs/polarscrates.io

    1.6Mdownloads / 90 daysTop 50% on crates.io
  • polars-json

    JSON related logic for the Polars DataFrame library

    Published from pola-rs/polarscrates.io

    923.9Kdownloads / 90 daysTop 50% on crates.io
  • polars-dtype

    Low-level datatype definitions of the Polars project.

    Published from pola-rs/polarscrates.io

    911.5Kdownloads / 90 daysTop 50% on crates.io
  • polars-buffer

    Data buffers for the Polars DataFrame library

    Published from pola-rs/polarscrates.io

    633.1Kdownloads / 90 daysLower half on crates.io
  • polars-config

    Runtime configuration for the Polars project.

    Published from pola-rs/polarscrates.io

    420.1Kdownloads / 90 daysLower half on crates.io
  • polars-async

    Async runtime and utilities of the Polars project.

    Published from pola-rs/polarscrates.io

    418.1Kdownloads / 90 daysLower half on crates.io

Ecosystem 46packages that depend on it, most-adopted first

  • pyo3-polars

    Expression plugins and PyO3 types for polars

    Depends on polarscrates.io

    335.8Kdownloads / 90 daysLower half on crates.io
  • rustquant_error

    A Rust library for quantitative finance.

    Depends on polarscrates.io

    2.5Kdownloads / 90 daysLower half on crates.io
  • rustquant_math

    A Rust library for quantitative finance.

    Depends on polarscrates.io

    2.4Kdownloads / 90 daysLower half on crates.io
  • liboxen

    Oxen is a fast data version control system, built with machine learning training data in mind. Designed to handle terabytes of data with ease, using a workflow similar to git. Version both structured and unstructured data of any modality: text, images, video, audio, CSV, Parquet, JSONL, model checkpoints, and more. liboxen is the embeddable core library behind the oxen CLI and server, which power fine tuning and inference pipelines for multimodal LLMs, image models, and video models on Oxen.ai.

    Depends on polarscrates.io

    1.8Kdownloads / 90 daysLower half on crates.io
  • aimmspy

    Python bindings for the AIMMS optimization platform, built with pybind11 for seamless C++ integration. Enables efficient data exchange and interaction with AIMMS projects using pandas, polars, and pyarrow. Ideal for advanced optimization workflows requiring high-performance native code.

    Depends on polarsPyPI

    Not published by PyPI
  • akquant

    High-performance quantitative trading framework based on Rust and Python

    Depends on polarsPyPI

    Not published by PyPI
  • alphafold3-pytorch

    Alphafold 3 - Pytorch

    Depends on polarsPyPI

    Not published by PyPI
  • czsc

    缠中说禅技术分析工具

    Depends on polarsPyPI

    Not published by PyPI
  • dagster-polars

    Dagster integration library for Polars

    Depends on polarsPyPI

    Not published by PyPI
  • datacompy

    Dataframe comparisons in Python

    Depends on polarsPyPI

    Not published by PyPI
  • dataframely

    A declarative, polars-native data frame validation library

    Depends on polarsPyPI

    Not published by PyPI
  • fuxictr

    A configurable, tunable, and reproducible library for CTR prediction

    Depends on polarsPyPI

    Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions Polars yet.