OrganizationPolars
@pola-rs • Extremely fast Query Engine for DataFrames, written in Rust . Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
96%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
28 repos
Visible snapshot
12 repositories updated in the last 90 days.
Leading language
Rust
Portfolio mix
Rust (11), Python (6), Jupyter Notebook (3)
Average size
1.6K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-10-15(12d ago)GitHub API fallback28 repositories
96%
of the visible star count comes from this organization's top three repositories.
1.6K
stars per repository in this same snapshot.
Rust
is the most common language here, with 12 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 92% of its visible star count.
Flagship share 92%Breakout repo: polars
Organization pages work best when you separate portfolio breadth from flagship concentration. In Polars's case, the visible top three repositories account for about 96% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Rust (11), Python (6), Jupyter Notebook (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | pola-rs/polars Extremely fast Query Engine for DataFrames, written in Rust | Rust | 40.2K |
| 2 | pola-rs/geopolars Geospatial extensions for Polars | Python | 951 |
| 3 | pola-rs/nodejs-polars nodejs front-end of polars | TypeScript | 762 |
| 4 | pola-rs/r-polars Polars R bindings | R | 576 |
| 5 | pola-rs/pyo3-polars Plugins/extension for Polars | Rust | 308 |
| 6 | pola-rs/polars-xdt Polars plugin offering eXtra stuff for DateTimes | Python | 237 |
| 7 | pola-rs/polars-cli CLI interface for running SQL queries with Polars as backend | Rust | 200 |
| 8 | pola-rs/polars-book Book documentation of the Polars DataFrame library | Makefile | 192 |
| 9 | pola-rs/js-polars JS bindings to polars | Rust | 129 |
| 10 | pola-rs/polars-benchmark | Python | 124 |
| 11 | pola-rs/dask-polars Coming soon | Python | 62 |
| 12 | pola-rs/polars-book-cn Chinese translation of the polars-book user guide | Jupyter Notebook | 30 |
| 13 | pola-rs/polars-cloud-client Python client for Polars Cloud | Rust | 28 |
| 14 | pola-rs/valves general functions for your data .pipe()-lines. | Python | 17 |
| 15 | pola-rs/polars-bigquery-client A Polars I/O plugin that connects to BigQuery, supporting row predicate pushdown. | Rust | 11 |
| 16 | pola-rs/examples | Jupyter Notebook | 8 |
| 17 | pola-rs/polars-2.0-benchmark The reproduction for the Polars 2.0 release benchmark | Python | 7 |
| 18 | pola-rs/polars-static All static files, images and such. | JavaScript | 7 |
| 19 | pola-rs/polars-parquet WIP: Implementation of polars native parquet reader | Rust | 6 |
| 20 | pola-rs/polars-web Landing page for Polars | CSS | 6 |
| 21 | pola-rs/presentations | Jupyter Notebook | 6 |
| 22 | pola-rs/pyo3 Rust bindings for the Python interpreter | Rust | 4 |
| 23 | pola-rs/parquet-format Thrift definitions of parquet | Rust | 3 |
| 24 | pola-rs/arrow-format Generated Rust of Apache Arrow spec | Rust | 3 |
| 25 | pola-rs/polars-iceberg | Rust | 2 |
| 26 | pola-rs/hashbrown Rust port of Google's SwissTable hash map | 0 | |
| 27 | pola-rs/jemallocator Rust allocator using jemalloc as a backend | 0 | |
| 28 | pola-rs/db-benchmark reproducible benchmark of database-like ops | R | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.