# ddotta/awesome-polars

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

Repository: https://github.com/ddotta/awesome-polars
Canonical: https://ross.abutalabs.com/products/awesome-polars
Homepage: https://ddotta.github.io/awesome-polars/
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, polars, collection, curated-list, nodejs, python, rstats, rust
Last push: 2026-08-26T09:58:55+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 16, longevity 92
- inputs: {"age_days": 1296, "days_push": 7, "days_rel": 434, "gap_med": 134.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1116, forks 72 (observed 2026-08-28T04:03:38.700616+00:00)

## What it is
A curated list of Polars documentation, talks, tools, plugins, examples, and articles. Polars is a fast DataFrame library for Rust, Python, Node.js, and R built on Apache Arrow.

## Use cases
- find polars tutorials and talks
- discover polars plugins for data manipulation
- learn how to use polars in python or rust
- find polars resources for time series or machine learning
- keep up with polars news and releases

## When to choose
- you want a curated index of Polars learning materials and ecosystem tools
- you are evaluating or learning the Polars DataFrame library

## When to avoid
- you need the Polars library itself rather than a resource list
- you need executable software or a maintained data tool

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: data-science, awesome-lists
- platform: python, rust, cross-platform
- tags: awesome-list, polars, dataframe, curated-resources, apache-arrow, data-engineering, nodejs

## Member repositories
- ddotta/awesome-polars (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:38.700616+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:41:57.695909+00:00, confidence not recorded.
  - readme: https://github.com/ddotta/awesome-polars (fetched 2026-08-28T04:03:38.700616+00:00, sha 8a650e443503)
  - homepage: https://ddotta.github.io/awesome-polars/ (fetched 2026-08-29T12:46:05.072262+00:00, sha 7d742b0489cf)
- Data as of 2026-08-30T08:39:29.467469+00:00.