pythonnet 3.0.5 (original) (raw)

pythonnet is a package that gives .NET programmers ability to integrate Python engine and use Python libraries.

Embedding Python in .NET

Example

using var _ = Py.GIL();

dynamic np = Py.Import("numpy");
Console.WriteLine(np.cos(np.pi * 2));

dynamic sin = np.sin;
Console.WriteLine(sin(5));

double c = (double)(np.cos(5) + sin(5));
Console.WriteLine(c);

dynamic a = np.array(new List<float> { 1, 2, 3 });
Console.WriteLine(a.dtype);

dynamic b = np.array(new List<float> { 6, 5, 4 }, dtype: np.int32);
Console.WriteLine(b.dtype);

Console.WriteLine(a * b);
Console.ReadKey();

Output:

1.0
-0.958924274663
-0.6752620892
float64
int32
[  6.  10.  12.]

Resources

Information on installation, FAQ, troubleshooting, debugging, and projects using pythonnet can be found in the Wiki:

https://github.com/pythonnet/pythonnet/wiki

Mailing listhttps://mail.python.org/mailman/listinfo/pythondotnetChathttps://gitter.im/pythonnet/pythonnet

.NET Foundation

This project is supported by the .NET Foundation.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed.
.NET Core netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed.
.NET Standard netstandard2.0 is compatible. netstandard2.1 was computed.
.NET Framework net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.
MonoAndroid monoandroid was computed.
MonoMac monomac was computed.
MonoTouch monotouch was computed.
Tizen tizen40 was computed. tizen60 was computed.
Xamarin.iOS xamarinios was computed.
Xamarin.Mac xamarinmac was computed.
Xamarin.TVOS xamarintvos was computed.
Xamarin.WatchOS xamarinwatchos was computed.

NuGet packages (44)

Showing the top 5 NuGet packages that depend on pythonnet:

Package Downloads
Python.Included Python.Included is an automatic deployment mechanism for .NET packages which depend on the embedded Python distribution. This allows libraries depending on Python and/or Python packages to be deployed via Nuget without having to worry about any local Python installations. 319.6K
Numpy.Bare C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed! 140.5K
Gradient.Runtime Core runtime components for Gradient 70.5K
LostTech.NumPy .NET bindings for NumPy. Requires the actual Python with NumPy installed. 63.0K
LostTech.TensorFlow FULL TensorFlow 2.5+ for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras, estimators and many more APIs. Free for non-commercial use. For licensing options see https://losttech.software/buy\_gradient.html !!NOTE!! This version requires Python 3.x x64 to be installed with TensorFlow 2.5.x. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 2.5 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For support email contact@losttech.software . More information in NuGet package release notes and on the project web page: https://github.com/losttech/Gradient . TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc. 59.5K

GitHub repositories (10)

Showing the top 10 popular GitHub repositories that depend on pythonnet:

Repository Stars
elsa-workflows/elsa-core A .NET workflows library 7.0K
LykosAI/StabilityMatrix Multi-Platform Package Manager for Stable Diffusion 5.9K
Danily07/Translumo Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc. 3.8K
SciSharp/BotSharp AI Multi-Agent Framework in .NET 2.7K
SciSharp/Numpy.NET C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI 727
henon/Python.Included A Python.NET based framework enabling .NET libraries to call into Python packages without depending on a local Python installation. 337
Particle1904/DatasetHelpers Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training. 194
dmitry-merzlyakov/nledger .Net Ledger: Double-Entry Accounting System 190
iPromKnight/zilean 157
MyCaffe/MyCaffe A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#! 111
Version Downloads Last updated
3.1.0-preview2024-09-06 17,495 9/6/2024
3.1.0-preview2024-08-05 1,234 8/5/2024
3.1.0-preview2024-07-03 4,920 7/3/2024
3.1.0-preview2024-06-03 11,277 6/3/2024
3.1.0-preview2024-05-07 804 5/7/2024
3.1.0-preview2024-04-07 846 4/7/2024
3.1.0-preview2024-03-03 15,494 3/3/2024
3.1.0-preview2024-02-05 740 2/5/2024
3.1.0-preview2024-01-04 89,094 1/4/2024
3.1.0-preview2023-12-04 1,486 12/4/2023
3.1.0-preview2023-11-04 919 11/4/2023
3.1.0-preview2023-10-03 795 10/3/2023
3.1.0-preview2023-09-17 1,171 9/17/2023
3.1.0-preview2023-07-03 8,256 7/3/2023
3.1.0-preview2023-04-03 13,372 4/3/2023
3.0.5 110,773 12/13/2024
3.0.4 99,682 9/19/2024
3.0.3 426,807 10/11/2023
3.0.2 42,531 8/29/2023
3.0.1 397,823 11/2/2022
3.0.0 39,118 9/29/2022
2.3.0-py35-dotnet 4,021 3/16/2017
2.3.0-py27-dotnet 2,219 3/16/2017