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
<PackageReference Include="QuantConnect.pythonnet" Version="2.0.50" />
<PackageVersion Include="QuantConnect.pythonnet" Version="2.0.50" />
<PackageReference Include="QuantConnect.pythonnet" />
paket add QuantConnect.pythonnet --version 2.0.50
#r "nuget: QuantConnect.pythonnet, 2.0.50"
#:package QuantConnect.pythonnet@2.0.50
#addin nuget:?package=QuantConnect.pythonnet&version=2.0.50
#tool nuget:?package=QuantConnect.pythonnet&version=2.0.50
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.PythonDLLproperty orPYTHONNET_PYDLLenvironment variable, otherwise you will receiveBadPythonDllException(internal, derived fromMissingMethodException) upon callingInitialize. Typical values arepython38.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, egmod.func(args). You can also access Python objects viaPyObjectand dervied types instead of usingdynamic. - Use
mod.func(args, Py.kw("keywordargname", keywordargvalue))ormod.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 * 2works,2 * np.pidoesn'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 | Versions 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. |
-
net9.0
- fasterflect (>= 3.0.0)
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 | 2,676 | 10/31/2025 |
| 2.0.49 | 3,373 | 10/21/2025 |
| 2.0.48 | 17,504 | 8/15/2025 |
| 2.0.47 | 489 | 8/14/2025 |
| 2.0.46 | 3,084 | 8/6/2025 |
| 2.0.45 | 690 | 7/31/2025 |
| 2.0.44 | 19,226 | 5/2/2025 |
| 2.0.43 | 234 | 5/1/2025 |
| 2.0.42 | 40,098 | 12/20/2024 |
| 2.0.41 | 6,306 | 12/3/2024 |
| 2.0.40 | 1,992 | 11/1/2024 |
| 2.0.39 | 11,239 | 9/27/2024 |
| 2.0.38 | 51,263 | 5/24/2024 |
| 2.0.37 | 3,984 | 5/14/2024 |
| 2.0.36 | 5,911 | 4/23/2024 |
| 2.0.35 | 5,777 | 4/19/2024 |
| 2.0.34 | 18,604 | 4/17/2024 |
| 2.0.33 | 259 | 4/16/2024 |
| 2.0.32 | 1,590 | 4/15/2024 |
| 2.0.31 | 562 | 4/12/2024 |
| 2.0.30 | 289 | 4/11/2024 |
| 2.0.29 | 6,023 | 3/18/2024 |
| 2.0.28 | 9,438 | 3/5/2024 |
| 2.0.27 | 256 | 3/4/2024 |
| 2.0.26 | 49,375 | 12/8/2023 |
| 2.0.25 | 7,273 | 11/21/2023 |
| 2.0.24 | 10,337 | 10/27/2023 |
| 2.0.23 | 2,871 | 10/19/2023 |
| 2.0.22 | 832 | 10/12/2023 |
| 2.0.21 | 57,431 | 7/11/2023 |
| 2.0.20 | 6,480 | 6/26/2023 |
| 2.0.19 | 304 | 6/26/2023 |
| 2.0.18 | 94,540 | 3/3/2023 |
| 2.0.17 | 131,897 | 8/24/2022 |
| 2.0.16 | 22,169 | 6/27/2022 |
| 2.0.15 | 26,721 | 5/17/2022 |
| 2.0.14 | 5,593 | 5/6/2022 |
| 2.0.13 | 5,007 | 5/2/2022 |
| 2.0.12 | 6,213 | 4/28/2022 |
| 2.0.11 | 81,999 | 12/27/2021 |
| 2.0.10 | 32,742 | 10/22/2021 |
| 2.0.9 | 593 | 10/21/2021 |
| 2.0.8 | 5,605 | 10/13/2021 |
| 2.0.7 | 847 | 10/8/2021 |
| 2.0.6 | 17,000 | 8/26/2021 |
| 2.0.5 | 21,388 | 7/14/2021 |
| 2.0.4 | 35,520 | 6/11/2021 |
| 2.0.3 | 3,670 | 6/8/2021 |
| 2.0.2 | 8,737 | 5/28/2021 |
| 2.0.1 | 22,323 | 3/13/2021 |
| 2.0.0 | 1,148 | 3/9/2021 |
| 1.0.5.30 | 235,930 | 3/31/2020 |
| 1.0.5.29 | 46,996 | 11/13/2019 |
| 1.0.5.28 | 820 | 11/12/2019 |
| 1.0.5.27 | 762 | 11/12/2019 |
| 1.0.5.26 | 9,744 | 10/15/2019 |
| 1.0.5.25 | 5,989 | 9/23/2019 |
| 1.0.5.24 | 6,354 | 9/10/2019 |
| 1.0.5.23 | 899 | 9/5/2019 |
| 1.0.5.22 | 815 | 9/5/2019 |
| 1.0.5.21 | 1,000 | 6/24/2019 |
| 1.0.5.20 | 43,954 | 4/23/2019 |
| 1.0.5.19 | 5,506 | 4/2/2019 |
| 1.0.5.18 | 1,031 | 3/27/2019 |
| 1.0.5.17 | 13,017 | 2/21/2019 |
| 1.0.5.16 | 885 | 2/20/2019 |
| 1.0.5.15 | 9,983 | 1/22/2019 |
| 1.0.5.14 | 1,046 | 1/18/2019 |
| 1.0.5.13 | 1,012 | 1/15/2019 |
| 1.0.5.12 | 11,386 | 8/27/2018 |
| 1.0.5.11 | 1,069 | 8/27/2018 |
| 1.0.5.10 | 1,099 | 8/24/2018 |
| 1.0.5.9 | 1,391 | 7/23/2018 |
| 1.0.5.8 | 41,653 | 7/16/2018 |
| 1.0.5.7 | 306,402 | 4/2/2018 |
| 1.0.5.6 | 1,543 | 4/2/2018 |
| 1.0.5.5 | 3,179 | 2/2/2018 |
| 1.0.5.4 | 2,857 | 12/29/2017 |
| 1.0.5.3 | 1,545 | 12/29/2017 |
| 1.0.5.2 | 1,794 | 11/29/2017 |
| 1.0.5.1 | 3,353 | 10/9/2017 |
| 1.0.5 | 1,524 | 9/29/2017 |
| 1.0.4.8 | 1,676 | 9/12/2017 |
| 1.0.4.7 | 1,301 | 9/8/2017 |
| 1.0.4.6 | 1,306 | 9/4/2017 |
| 1.0.4.5 | 1,313 | 8/21/2017 |
| 1.0.4.4 | 2,927 | 6/23/2017 |
| 1.0.4.3 | 1,383 | 6/23/2017 |
| 1.0.4.2 | 1,334 | 6/22/2017 |
| 1.0.4.1 | 1,301 | 6/22/2017 |
| 1.0.4 | 1,420 | 6/15/2017 |
| 1.0.3.5 | 1,785 | 6/1/2017 |
| 1.0.3.4 | 1,324 | 6/1/2017 |
| 1.0.3.3 | 1,321 | 6/1/2017 |
| 1.0.3.2 | 1,326 | 5/31/2017 |
| 1.0.3.1 | 1,345 | 5/31/2017 |
| 1.0.3 | 1,335 | 5/31/2017 |
| 1.0.2.1 | 1,450 | 5/25/2017 |
| 1.0.2 | 1,374 | 5/23/2017 |
| 1.0.1.1 | 2,271 | 4/11/2017 |
| 1.0.0 | 1,408 | 1/12/2017 |