# pola-rs/polars

Extremely fast Query Engine for DataFrames, written in Rust

Repository: https://github.com/pola-rs/polars
Canonical: https://ross.abutalabs.com/products/polars
Homepage: https://docs.pola.rs
Language: Rust
License: MIT
License Family: permissive
Topics: dataframe-library, dataframe, dataframes, rust, arrow, python, out-of-core, polars
Last push: 2026-08-26T17:14:39+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 2303, "days_push": 7, "days_rel": 7, "gap_med": 4.5, "n_releases_24m": 83}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 39505, forks 3052 (observed 2026-08-28T04:12:07.867883+00:00)

## What it is
Polars is an extremely fast analytical query engine for DataFrames written in Rust, with multi-threaded vectorized execution, lazy query optimization, and a streaming engine for larger-than-RAM datasets. It offers bindings for Python, Rust, Node.js, R, and SQL, uses the Apache Arrow columnar format for zero-copy interoperability, and optionally supports NVIDIA GPU acceleration.

## Use cases
- analyze large csv and parquet files faster than pandas
- process datasets larger than RAM with streaming
- replace pandas with a faster dataframe library
- run optimized lazy queries on tabular data
- read and write data from cloud storage and databases
- accelerate dataframe workloads on NVIDIA GPUs
- build etl pipelines in python or rust

## When to choose
- you need high-performance dataframe processing that uses all CPU cores
- your data doesn't fit in memory and you need out-of-core streaming execution
- you want query optimization with a lazy/expressive API
- you need zero-copy interop with Apache Arrow ecosystems
- you work across Python, Rust, Node.js, or R with a consistent API

## When to avoid
- you depend on the full pandas/NumPy ecosystem of third-party libraries
- you need row-level iterative mutation rather than columnar batch operations
- your team relies on pandas-specific idioms and APIs without migration effort
- you need a distributed cluster engine rather than single-machine parallelism

## Facets
- artifact type: library
- maturity: stable
- function: data-science, etl, database, parser, concurrency
- domain: data-science, analytics, big-data, developer-tools
- platform: python, rust, cross-platform, cli
- tags: dataframe, query-engine, apache-arrow, parquet, streaming-engine, lazy-evaluation, out-of-core, pandas-alternative, sql, simd, data-engineering, nodejs, gpu

## Member repositories
- pola-rs/polars (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:07.867883+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 2026-08-29T16:24:07.429564+00:00, confidence not recorded.
  - readme: https://github.com/pola-rs/polars (fetched 2026-08-28T04:12:07.867883+00:00, sha c62bf4c7ed4c)
  - homepage: https://docs.pola.rs (fetched 2026-08-29T07:46:51.261311+00:00, sha 545ff9aff919)
  - site_page: https://docs.pola.rs/releases/changelog (fetched 2026-08-29T07:46:51.288241+00:00, sha 89c4878990ab)
  - site_page: https://docs.pola.rs/releases/upgrade/0.20 (fetched 2026-08-29T07:46:51.284078+00:00, sha ff72adfc2926)
  - site_page: https://docs.pola.rs/releases/upgrade/0.19 (fetched 2026-08-29T07:46:51.286512+00:00, sha 1c95eb330547)
  - site_page: https://docs.pola.rs/user-guide/getting-started (fetched 2026-08-29T07:46:51.271003+00:00, sha 6d70686f718a)
  - site_page: https://docs.pola.rs/user-guide/installation (fetched 2026-08-29T07:46:51.273595+00:00, sha da070b8b3a3d)
  - site_page: https://docs.pola.rs/releases/upgrade (fetched 2026-08-29T07:46:51.276295+00:00, sha d5476f05d2be)
  - site_page: https://docs.pola.rs/releases/upgrade/2 (fetched 2026-08-29T07:46:51.278236+00:00, sha 866e03a0e614)
  - site_page: https://docs.pola.rs/releases/upgrade/1 (fetched 2026-08-29T07:46:51.281257+00:00, sha 7e15d25a2eaa)
- Data as of 2026-08-30T08:39:29.467469+00:00.