Polars
Polars40
Polars
An open-source, high-performance DataFrame library for Rust and Python, designed for efficient data manipulation and analysis.
About
What does Polars do?
Polars is an open-source library for data manipulation, recognized as one of the fastest single-machine data processing solutions. It offers a well-structured, typed API for expressive and easy-to-use data wrangling, built with performance in mind through its multi-threaded Rust query engine. Polars also provides Polars Cloud for scaling data queries from laptops to production workloads, deployable in the cloud or on-premise.
What is Polars's valuation?
StartupHub estimates Polars's effective valuation at $78.2M (range $52.5M to $126.0M, 13% confidence), based on comparable companies in the sector.
How much funding has Polars raised?
Polars has raised a total of $21M in funding. The most recent round on record is Series A.
What industry does Polars operate in?
Polars operates in Data Manipulation, Data Analysis, DataFrame Library, Open Source, Python Library, Rust Library.
How many employees does Polars have?
Polars has approximately 26 people on record.
“In python notebooks 3.11 kernel, this works: pl.read_delta(table_path) Now failing in 3.12 with: DefaultAzureCredential failed to retrieve a token from the included credentials.”
View on Reddit“A while ago I switched from pandas to polars for data processing because coworkers insisted it's the new standard and much faster. I've found it fairly smooth to work with so far but there's one thing I'm running into which is that polars,…”
View on Reddit“Polars vs pandas. I am trying to come from database development into python ecosystem. Wondering if going into polars framework, instead of pandas will be any beneficial?”
View on Reddit“I'm still early on in my journey of learning python and one thing I'm seeing is that people don't really like pandas at all as its unintuitive as a library and I'm seeing a lot of praise for Polars. personally I also don't really like panda…”
View on Reddit“Hi, I decided to test DuckDB and Polars in a pure Python notebook, as I don't have experience with these python dialects. Here's what I did: Loaded Contoso 100 k, 10 m and 100 m datasets from CSV files into a Fabric SQL Database.”
View on Reddit“I've always struggled with when to use Spark versus tools like Polars or DuckD”
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