QuantConnect.pythonnet 2.0.50

Prefix Reserved
dotnet add package QuantConnect.pythonnet --version 2.0.50
                    
NuGet\Install-Package QuantConnect.pythonnet -Version 2.0.50
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="QuantConnect.pythonnet" Version="2.0.50" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="QuantConnect.pythonnet" Version="2.0.50" />
                    
Directory.Packages.props
<PackageReference Include="QuantConnect.pythonnet" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add QuantConnect.pythonnet --version 2.0.50
                    
#r "nuget: QuantConnect.pythonnet, 2.0.50"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package QuantConnect.pythonnet@2.0.50
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=QuantConnect.pythonnet&version=2.0.50
                    
Install as a Cake Addin
#tool nuget:?package=QuantConnect.pythonnet&version=2.0.50
                    
Install as a Cake Tool

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

Embedding Python in .NET

  • You must set 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.
  • All calls to Python should be inside a using (Py.GIL()) {/* Your code here */} block.
  • Import python modules using 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.
  • Use mod.func(args, Py.kw("keywordargname", keywordargvalue)) or mod.func(args, keywordargname: keywordargvalue) to apply keyword arguments.
  • Mathematical operations involving python and literal/managed types must have the python object first, eg. np.pi * 2 works, 2 * np.pi doesn't.

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 list https://mail.python.org/mailman/listinfo/pythondotnet Chat https://gitter.im/pythonnet/pythonnet

.NET Foundation

This project is supported by the .NET Foundation.

Product Compatible and additional computed target framework versions.
.NET net9.0 is compatible.  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.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (26)

Showing the top 5 NuGet packages that depend on QuantConnect.pythonnet:

Package Downloads
QuantConnect.Common

QuantConnect LEAN Engine: Common Project - A collection of common definitions and utils

QuantConnect.Indicators

QuantConnect LEAN Engine: Indicators Project - A collection of financial indicators

QuantConnect.Algorithm

QuantConnect LEAN Engine: Algorithm Project - Core QCAlgorithm implementation

QuantConnect.Algorithm.Framework

QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation

QuantConnect.Lean.Engine

QuantConnect LEAN Engine: Engine Project - Core engine and datafeed implementation

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on QuantConnect.pythonnet:

Repository Stars
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Capnode/Algoloop
Windows desktop algo trading with QuantConnect Lean engine.
Version Downloads Last Updated
2.0.50 10,088 10/31/2025
2.0.49 3,503 10/21/2025
2.0.48 18,081 8/15/2025
2.0.47 506 8/14/2025
2.0.46 3,140 8/6/2025
2.0.45 705 7/31/2025
2.0.44 19,313 5/2/2025
2.0.43 237 5/1/2025
2.0.42 40,921 12/20/2024
2.0.41 6,402 12/3/2024
2.0.40 2,000 11/1/2024
2.0.39 11,253 9/27/2024
2.0.38 51,891 5/24/2024
2.0.37 4,064 5/14/2024
2.0.36 5,936 4/23/2024
2.0.35 5,917 4/19/2024
2.0.34 18,609 4/17/2024
2.0.33 264 4/16/2024
2.0.32 1,596 4/15/2024
2.0.31 565 4/12/2024
2.0.30 292 4/11/2024
2.0.29 6,028 3/18/2024
2.0.28 9,449 3/5/2024
2.0.27 261 3/4/2024
2.0.26 49,858 12/8/2023
2.0.25 7,284 11/21/2023
2.0.24 10,349 10/27/2023
2.0.23 2,876 10/19/2023
2.0.22 836 10/12/2023
2.0.21 57,502 7/11/2023
2.0.20 6,484 6/26/2023
2.0.19 309 6/26/2023
2.0.18 94,695 3/3/2023
2.0.17 132,116 8/24/2022
2.0.16 22,188 6/27/2022
2.0.15 26,750 5/17/2022
2.0.14 5,604 5/6/2022
2.0.13 5,017 5/2/2022
2.0.12 6,220 4/28/2022
2.0.11 82,055 12/27/2021
2.0.10 32,757 10/22/2021
2.0.9 604 10/21/2021
2.0.8 5,614 10/13/2021
2.0.7 857 10/8/2021
2.0.6 17,010 8/26/2021
2.0.5 21,414 7/14/2021
2.0.4 35,538 6/11/2021
2.0.3 3,737 6/8/2021
2.0.2 8,752 5/28/2021
2.0.1 22,347 3/13/2021
2.0.0 1,159 3/9/2021
1.0.5.30 236,101 3/31/2020
1.0.5.29 47,036 11/13/2019
1.0.5.28 838 11/12/2019
1.0.5.27 774 11/12/2019
1.0.5.26 9,768 10/15/2019
1.0.5.25 6,006 9/23/2019
1.0.5.24 6,370 9/10/2019
1.0.5.23 912 9/5/2019
1.0.5.22 830 9/5/2019
1.0.5.21 1,015 6/24/2019
1.0.5.20 43,988 4/23/2019
1.0.5.19 5,527 4/2/2019
1.0.5.18 1,045 3/27/2019
1.0.5.17 13,034 2/21/2019
1.0.5.16 899 2/20/2019
1.0.5.15 10,001 1/22/2019
1.0.5.14 1,062 1/18/2019
1.0.5.13 1,028 1/15/2019
1.0.5.12 11,404 8/27/2018
1.0.5.11 1,084 8/27/2018
1.0.5.10 1,115 8/24/2018
1.0.5.9 1,420 7/23/2018
1.0.5.8 41,771 7/16/2018
1.0.5.7 306,610 4/2/2018
1.0.5.6 1,580 4/2/2018
1.0.5.5 3,290 2/2/2018
1.0.5.4 2,910 12/29/2017
1.0.5.3 1,581 12/29/2017
1.0.5.2 1,818 11/29/2017
1.0.5.1 3,378 10/9/2017
1.0.5 1,552 9/29/2017
1.0.4.8 1,703 9/12/2017
1.0.4.7 1,329 9/8/2017
1.0.4.6 1,333 9/4/2017
1.0.4.5 1,342 8/21/2017
1.0.4.4 2,954 6/23/2017
1.0.4.3 1,410 6/23/2017
1.0.4.2 1,362 6/22/2017
1.0.4.1 1,330 6/22/2017
1.0.4 1,452 6/15/2017
1.0.3.5 1,811 6/1/2017
1.0.3.4 1,349 6/1/2017
1.0.3.3 1,348 6/1/2017
1.0.3.2 1,351 5/31/2017
1.0.3.1 1,375 5/31/2017
1.0.3 1,361 5/31/2017
1.0.2.1 1,477 5/25/2017
1.0.2 1,402 5/23/2017
1.0.1.1 2,298 4/11/2017
1.0.0 1,438 1/12/2017