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@ErrorLSC

ErrorLSC

Yokohama

đź’– Support Polars.NET Development

Polars.NET brings the lightning-fast, memory-efficient DataFrame experience to the .NET ecosystem, powered by Rust Polars and Apache Arrow.

Maintaining a high-performance bridge between Rust and .NET requires continuous effort—from tracking upstream Polars updates and optimizing native shims, to polishing C#/F# APIs and Linq support. It’s a labor of love, but it takes countless hours of development and testing.

If Polars.NET has saved you time, reduced your cloud infrastructure bills, or simply made your data engineering in .NET enjoyable, please consider sponsoring this project!

Your sponsorship helps me:

  • Maintain fast-paced updates with upstream Polars.
  • Optimize the native interop and memory management.
  • Expand ecosystem integration (.NET ML, advanced diagnostics, and better documentation).

Every coffee counts. Thank you for empowering the .NET data science community!

1 sponsor has funded ErrorLSC’s work.

@raphaelgaeta

Featured work

  1. ErrorLSC/Polars.NET

    .NET DataFrame Engine, powered by Arrow and Polars

    C# 177
  2. ErrorLSC/Polars.NET-Cookbook

    E2E example source codes for Polars.NET

    F# 1

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