Netherlands-based dataframe library provider Polars has raised seed funding in a round led by Bain Capital Ventures. The company founded by data scientist and machine learning engineer Ritchie Vink, the company has been offered the fastest dataframe library based on Python. Polars has been gaining traction on GitHub in data processing category and the new funding will help Polars to scale its operations.

Polars announced the funding from Bain Capital and individual investors. Polars has been gaining market share as its offers option for data scientists and engineers to analyze large DataFrames without need of distributed computing resources.

Many data scientists and machine learning experts have been part of Polars project as full time or on volunteering basis. The company will be able to add more full-time engineers to its team after the seed funding.

The official release informed, “The Rust-based DataFrame library for data scientists and engineers raised US$4 million in seed funding. The funding will be used to expand the team, and build a compute platform to efficiently run Polars at any scale.”

“What started as a pet project of mine in 2020 has grown beyond my expectations, thanks to the open source community,” said Vink. “Now, with the support of our investors and our community, we will focus on offering managed environments, improving cloud connectors, and supporting the many companies that already use Polars.”

The company added that it will continue supporting scalability of the platform. It would sponsor and accelerate the open source development of Polars. The company also asked people with experience in RUST to contact their hiring team.