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dotnet add package pythonnet --version 3.1.0
NuGet\Install-Package pythonnet -Version 3.1.0
<PackageReference Include="pythonnet" Version="3.1.0" />
<PackageVersion Include="pythonnet" Version="3.1.0" />Directory.Packages.props
<PackageReference Include="pythonnet" />Project file
paket add pythonnet --version 3.1.0
#r "nuget: pythonnet, 3.1.0"
#:package pythonnet@3.1.0
#addin nuget:?package=pythonnet&version=3.1.0Install as a Cake Addin
#tool nuget:?package=pythonnet&version=3.1.0Install as a Cake Tool
pythonnet is a package that gives .NET programmers ability to
integrate Python engine and use Python libraries.
Runtime.PythonDLL property or PYTHONNET_PYDLL environment variable,
otherwise you will receive BadPythonDllException
(internal, derived from MissingMethodException) upon calling Initialize.
Typical values are python38.dll (Windows), libpython3.8.dylib (Mac),
libpython3.8.so (most other *nix). Full path may be required.PythonEngine.Initialize(). If you plan to use Python objects from
multiple threads,
also call PythonEngine.BeginAllowThreads().using (Py.GIL()) {/* Your code here */} block.dynamic mod = Py.Import("mod"), then
you can call functions as normal, eg mod.func(args).
You can also access Python objects via PyObject and dervied types
instead of using dynamic.mod.func(args, Py.kw("keywordargname", keywordargvalue)) or
mod.func(args, keywordargname: keywordargvalue) to apply keyword
arguments.np.pi * 2 works,
2 * np.pi doesn't.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.]
Information on installation, FAQ, troubleshooting, debugging, and projects using pythonnet can be found in the Wiki:
https://github.com/pythonnet/pythonnet/wiki
Mailing list https://mail.python.org/mailman/listinfo/pythondotnet Chat https://gitter.im/pythonnet/pythonnet
This project is supported by the .NET Foundation.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 net5.0 was computed. net5.0-windows net5.0-windows was computed. net6.0 net6.0 was computed. net6.0-android net6.0-android was computed. net6.0-ios net6.0-ios was computed. net6.0-maccatalyst net6.0-maccatalyst was computed. net6.0-macos net6.0-macos was computed. net6.0-tvos net6.0-tvos was computed. net6.0-windows net6.0-windows was computed. net7.0 net7.0 was computed. net7.0-android net7.0-android was computed. net7.0-ios net7.0-ios was computed. net7.0-maccatalyst net7.0-maccatalyst was computed. net7.0-macos net7.0-macos was computed. net7.0-tvos net7.0-tvos was computed. net7.0-windows net7.0-windows was computed. net8.0 net8.0 was computed. net8.0-android net8.0-android was computed. net8.0-browser net8.0-browser was computed. net8.0-ios net8.0-ios was computed. net8.0-maccatalyst net8.0-maccatalyst was computed. net8.0-macos net8.0-macos was computed. net8.0-tvos net8.0-tvos was computed. net8.0-windows net8.0-windows was computed. net9.0 net9.0 was computed. net9.0-android net9.0-android was computed. net9.0-browser net9.0-browser was computed. net9.0-ios net9.0-ios was computed. net9.0-maccatalyst net9.0-maccatalyst was computed. net9.0-macos net9.0-macos was computed. net9.0-tvos net9.0-tvos was computed. net9.0-windows net9.0-windows was computed. net10.0 net10.0 was computed. net10.0-android net10.0-android was computed. net10.0-browser net10.0-browser was computed. net10.0-ios net10.0-ios was computed. net10.0-maccatalyst net10.0-maccatalyst was computed. net10.0-macos net10.0-macos was computed. net10.0-tvos net10.0-tvos was computed. net10.0-windows net10.0-windows was computed. |
| .NET Core | netcoreapp2.0 netcoreapp2.0 was computed. netcoreapp2.1 netcoreapp2.1 was computed. netcoreapp2.2 netcoreapp2.2 was computed. netcoreapp3.0 netcoreapp3.0 was computed. netcoreapp3.1 netcoreapp3.1 was computed. |
| .NET Standard | netstandard2.0 netstandard2.0 is compatible. netstandard2.1 netstandard2.1 was computed. |
| .NET Framework | net461 net461 was computed. net462 net462 was computed. net463 net463 was computed. net47 net47 was computed. net471 net471 was computed. net472 net472 was computed. net48 net48 was computed. net481 net481 was computed. |
| MonoAndroid | monoandroid monoandroid was computed. |
| MonoMac | monomac monomac was computed. |
| MonoTouch | monotouch monotouch was computed. |
| Tizen | tizen40 tizen40 was computed. tizen60 tizen60 was computed. |
| Xamarin.iOS | xamarinios xamarinios was computed. |
| Xamarin.Mac | xamarinmac xamarinmac was computed. |
| Xamarin.TVOS | xamarintvos xamarintvos was computed. |
| Xamarin.WatchOS | xamarinwatchos xamarinwatchos was computed. |
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. |
|
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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! |
|
|
Gradient.Runtime
Core runtime components for Gradient |
|
|
LostTech.NumPy
.NET bindings for NumPy. Requires the actual Python with NumPy installed. |
|
|
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. |
Showing the top 15 popular GitHub repositories that depend on pythonnet:
| Repository | Stars |
|---|---|
|
LykosAI/StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
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elsa-workflows/elsa-core
The Workflow Engine for .NET
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ramjke/Translumo
Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.
|
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|
SciSharp/BotSharp
AI Multi-Agent Framework in .NET
|
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SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
|
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|
henon/Python.Included
A Python.NET based framework enabling .NET libraries to call into Python packages without depending on a local Python installation.
|
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| iPromKnight/zilean | |
|
Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
|
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|
EasyConNS/EasyCon
🎮 EasyCon: The Ultimate Nintendo Switch Automation Powerhouse
|
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dmitry-merzlyakov/nledger
.Net Ledger: Double-Entry Accounting System
|
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DataficationSDK/Verso
Extensible interactive notebook platform for .NET. Every built-in feature, from the C# kernel to the dashboard layout, is an extension built on the same public interfaces available to third-party authors. Runs in VS Code and the browser.
|
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| FutureAIGuru/BrainSimIII | |
| Tbeninnovation/Baiss | |
|
MyCaffe/MyCaffe
A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#!
|
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ncosentino/DevLeader
Projects referred to by my blog, Dev Leader
|
| Version | Downloads | Last Updated |
|---|---|---|
| 3.1.0 | 10,724 | 5/23/2026 |
| 3.1.0-rc.1 | 2,264 | 5/16/2026 |
| 3.1.0-rc.0 | 6,947 | 2/25/2026 |
| 3.1.0-preview2024-09-06 | 68,588 | 9/6/2024 |
| 3.1.0-preview2024-08-05 | 1,565 | 8/5/2024 |
| 3.1.0-preview2024-07-03 | 11,047 | 7/3/2024 |
| 3.1.0-preview2024-06-03 | 25,455 | 6/3/2024 |
| 3.1.0-preview2024-05-07 | 985 | 5/7/2024 |
| 3.1.0-preview2024-04-07 | 1,010 | 4/7/2024 |
| 3.1.0-preview2024-03-03 | 16,051 | 3/3/2024 |
| 3.1.0-preview2024-02-05 | 997 | 2/5/2024 |
| 3.1.0-preview2024-01-04 | 157,369 | 1/4/2024 |
| 3.1.0-preview2023-12-04 | 1,680 | 12/4/2023 |
| 3.1.0-preview2023-11-04 | 1,197 | 11/4/2023 |
| 3.1.0-preview2023-10-03 | 922 | 10/3/2023 |
| 3.1.0-preview2023-09-17 | 1,315 | 9/17/2023 |
| 3.0.5 | 780,859 | 12/13/2024 |
| 3.0.4 | 189,884 | 9/19/2024 |
| 3.0.3 | 618,937 | 10/11/2023 |
| 3.0.2 | 67,808 | 8/29/2023 |