ConcordExtensibilitySamples VS TensorFlow.NET

Compare ConcordExtensibilitySamples vs TensorFlow.NET and see what are their differences.


Visual Studio Debug Engine Extensibility Samples (by microsoft)


.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#. (by SciSharp)
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ConcordExtensibilitySamples TensorFlow.NET
1 18
120 3,129
0.8% 1.2%
5.4 8.6
5 months ago 24 days ago
C# C#
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of ConcordExtensibilitySamples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-11.
  • Does Microsoft use F# for any of its internal projects?
    6 projects | /r/fsharp | 11 Jul 2022
    The other thing I sometimes miss is debugger support--you can debug through F# code, but any expressions you evaluate via breakpoints or Watch/Quickwatch have to be in C# instead of F#, which is so awkward that it's almost not worth using the debugger ever. I took a stab once at using Concord to write an F# expression evaluator ( but I couldn't make it work in the time I had--I wound up getting lost in the F# compiler service source code.


Posts with mentions or reviews of TensorFlow.NET. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-04.

What are some alternatives?

When comparing ConcordExtensibilitySamples and TensorFlow.NET you can also consider the following projects:

Fable.Python - Python bindings for Fable

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.

TorchSharp - A .NET library that provides access to the library that powers PyTorch.

TensorFlowSharp - TensorFlow API for .NET languages


NumSharp - High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.


Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

F# Data - F# Data: Library for Data Access

lobe.NET - .NET library for lobe.