ddotta/awesome-polars resource
A curated list of Polars talks, tools, examples & articles. Contributions welcome ! observed · 2026-08-28
Health v2 · maintenance only
69/100
- Activity 99
- Release rhythm 16
- Longevity 92
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 134.5
- age_days: 1296
- days_rel: 434
- days_push: 7
- n_releases_24m: 3
Adoption not part of the score
1116 stars · 72 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
learning-resource · maturity active
developer-tools documentation data-science awesome-lists python rust cross-platform awesome-list polars dataframe curated-resources apache-arrow data-engineering nodejs
2 sources
- readme: https://github.com/ddotta/awesome-polars · fetched 2026-08-28 · 8a650e443503
- homepage: https://ddotta.github.io/awesome-polars/ · fetched 2026-08-29 · 7d742b0489cf
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ddotta/awesome-polars | main | 69 |
For agents
markdown · JSON · MCP: product_card(name="ddotta/awesome-polars")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem