Topics / #polars

Polars projects on GitHub

Fast DataFrame library for large-scale data processing.

As of , the most-starred Polars projects on GitHub are polars (40.1K stars), datasets (22.1K stars) and machine-learning-for-trading (21.4K stars). GitHub.Locker tracks 8 Polars repositories with 126K stars combined. The fastest-growing on October 16 was CNEquity, with +70 stars in a day.

8Projects
126KStars in total
+142Stars in a day
Browse in the catalog →github.com/topics/polars ↗

Hot right now

Most stars gained in a day · Oct 16

+70

CNEquity

rootSunc/CNEquity · ★ 571

之后每天运行一次 cne run daily 保持更新。想要更长的历史，或了解 init 具体做了什么，见初始化指南。

+37

tick-stock-panel

shy3130/tick-stock-panel · ★ 5.9K

TSP is a self-hosted, zero-ops quantitative trading workbench for China's A-share stock market that combines stock screening, real-time anomaly monitoring, and strategy backtesting, with optional LLM-assisted analysis.

+16

machine-learning-for-trading

stefan-jansen/machine-learning-for-trading · ★ 21.4K

The code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.

+7

polars

pola-rs/polars · ★ 40.1K

Polars is an extremely fast analytical query engine for DataFrames, written in Rust and designed to be fast, easy to use and expressive.

The all-time top

8 projects · by stars

  1. #1 · pola-rs/polars

    polars

    Polars is an extremely fast analytical query engine for DataFrames, written in Rust and designed to be fast, easy to use and expressive.

    40.1K
  2. #2 · huggingface/datasets

    datasets

    A lightweight Python library from Hugging Face that gives one-line dataloaders for a huge catalog of ready-to-use public datasets on the HF Hub, plus fast, reproducible preprocessing for Hub and local data.

    22.1K
  3. #3 · stefan-jansen/machine-learning-for-trading

    machine-learning-for-trading

    The code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.

    21.4K
  1. 4

    ta-lib-python

    12.3KTA-Lib/ta-lib-python · Cython

    A Python wrapper around the TA-Lib C library for technical analysis of financial market data: 150+ indicators such as RSI, MACD and Bollinger Bands, plus candlestick pattern recognition.

  2. 5

    mycli

    12Kdbcli/mycli · Python

    mycli is a command-line client for MySQL-family databases that replaces the plain mysql shell with auto-completion, syntax highlighting, and built-in dataframe tooling.

  3. 6

    lancedb

    11.7Klancedb/lancedb · Rust

    LanceDB is an open-source vector database for multimodal AI: a central platform where you store, index and search petabytes of vectors and multimodal data, built for fast, production-ready retrieval.

  4. 7

    tick-stock-panel

    5.9Kshy3130/tick-stock-panel · Python

    TSP is a self-hosted, zero-ops quantitative trading workbench for China's A-share stock market that combines stock screening, real-time anomaly monitoring, and strategy backtesting, with optional LLM-assisted analysis.

  5. 8

    CNEquity

    571rootSunc/CNEquity · Python

    之后每天运行一次 cne run daily 保持更新。想要更长的历史，或了解 init 具体做了什么，见初始化指南。

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