Polars: One framework for all your data processing

The compute engine for open data.
The compute platform for all your workloads.
Run the engine inside your own network.
Read and write the formats and catalogues you already use.
Named engineers, response times and an SLA.
Every concept, worked through end to end.
Install it and run your first query.
The source, the issues and the releases.
The crate, module by module.
The package, module by module.
Courses and guides to learn Polars.
Releases, engineering notes and benchmarks.
What teams moved off, and what it saved them.
Who builds Polars, and why.
Open roles across engineering and go to market.
Polars Cloud becomes Polars Nanook
Polars Cloud becomes Polars Nanook: a full data platform for cloud and on-premise.
From millions of rows on your laptop to production workloads across a cluster, Polars is the fastest way to work with data.
Trusted by data and AI teams around the world
Write your query once. Run it on your machine or, unchanged, at scale on a cluster or GPUs.
Polars is the fastest open-source compute engine for Python and SQL, free forever under the MIT license. Install it in seconds and transform millions of rows on your own hardware.
Nanook is the compute platform that speeds up development for your data teams, managing the infrastructure for on-demand, batch and agentic workloads.
Polars is the fastest open-source compute engine for Python and SQL, free forever under the MIT license. Install it in seconds and transform millions of rows on your own hardware.
Nanook is the compute platform that speeds up development for your data teams, managing the infrastructure for on-demand, batch and agentic workloads.
Polars plans every query and strips out the wasted work for you, so you get answers faster on smaller machines. That means lower bills and less time waiting on results.
Whether you write SQL or DataFrames, your query runs on the same Polars engine, with the same leading performance. If you know pandas, Spark or SQL, it feels familiar from day one, only faster.
Your data never leaves your environment, so your security and compliance teams stay in control. Backed by enterprise support and SLAs for teams that work at the limits.
Polars integrates with the data ecosystem. It reads and writes every data format and source.
“Polars follows most of other DataFrames tool methodologies. Moving from Spark to Polars felt super easy. I would never even try use Pandas again”
“I'm so excited about Polars”
“I don't even remember the last time I used pandas. Polars ftw.”
“I've been using Polars for a while, and it's easily state-of-the-art: fast, lightweight, and super intuitive. Thank you guys, this is huge for the community!”
“Polars follows most of other DataFrames tool methodologies. Moving from Spark to Polars felt super easy. I would never even try use Pandas again”
“I'm so excited about Polars”
“I don't even remember the last time I used pandas. Polars ftw.”
“I've been using Polars for a while, and it's easily state-of-the-art: fast, lightweight, and super intuitive. Thank you guys, this is huge for the community!”
“Congrats to the polars team! We love Polars at Zalando”
“Polars is a badass. Started using it a while ago. Never looked back.”
“Love your work guys, Just love it.”
“The speedup of Polars compared to Pandas is massively noticeable. I generally enjoy writing code that I know is fast.”