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I built a native C# DataFrame engine to rival Python Polars (it's actually faster on some things)

DEV Community·Ian Cowley·20 days ago
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#dotnet#csharp#polars#python#glacier#polaris
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Here is a draft for DEV.to. It is structured exactly how developers love to read articles: a quick introduction, the core architectural philosophy, some brutal engineering "war stories," hard benchmark data, and a clear call to action. Copy this into the DEV.to editor, drop your actual GitHub links into the placeholders, and you're ready to publish. I built a native C# DataFrame engine to rival Python Polars (it's actually faster on some things) If you work in data science or heavy data engineering, you already know about Polars . It’s the Rust-backed powerhouse that took the Python ecosystem by storm, leaving Pandas in the dust. But if you’re a .NET developer, the data manipulation story has always been a bit… frustrating. We have Microsoft.Data.Analysis , but it lacks the expressive lazy API and raw speed we crave. We often end up exporting data to Python just to process it, only to bring it back to C#. I got tired of waiting for a native .NET solution. So, I decided to build one from scratch.…

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