SciSharp/TensorFlow.NET

Health v2 · maintenance only

Adoption not part of the score

3398 stars · 539 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TensorFlow.NET provides .NET Standard bindings for Google's TensorFlow, aiming to implement the complete TensorFlow API in C# and F#. It includes a built-in Keras high-level interface (TensorFlow.Keras) so .NET developers can develop, train, and deploy machine learning models.

Use cases

• train machine learning models in C#
• deploy TensorFlow models from .NET applications
• use Keras API in C# or F#
• build deep learning models without leaving the .NET ecosystem
• port Python TensorFlow code to C#
• develop ML models with .NET Standard cross-platform support

When to choose

• your team works in C#/F# and wants TensorFlow's full API without switching to Python
• you need Keras-style high-level model building in .NET
• you want cross-platform ML development with .NET Standard

When to avoid

• you need active maintenance and timely bug fixes - maintainers currently lack bandwidth
• you want the latest TensorFlow features - bindings track TensorFlow 2.10 on master
• you prefer PyTorch or Python-first ML tooling

Facets

library · maturity maintenance

machine-learning deep-learning sdk machine-learning deep-learning cross-platform dotnet cross-platform windows tensorflow keras csharp fsharp net-standard bindings scisharp linux macos

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markdown · JSON · MCP: product_card(name="SciSharp/TensorFlow.NET")