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Microsoft.ML.OnnxRuntime.Managed 1.27.0

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dotnet add package Microsoft.ML.OnnxRuntime.Managed --version 1.27.0
 
 
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Managed -Version 1.27.0
 
 
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="Microsoft.ML.OnnxRuntime.Managed" Version="1.27.0" />
 
 
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Managed" Version="1.27.0" />
 
Directory.Packages.props
<PackageReference Include="Microsoft.ML.OnnxRuntime.Managed" />
 
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 Microsoft.ML.OnnxRuntime.Managed --version 1.27.0
 
 
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.OnnxRuntime.Managed, 1.27.0"
 
 
#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 Microsoft.ML.OnnxRuntime.Managed@1.27.0
 
 
#: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=Microsoft.ML.OnnxRuntime.Managed&version=1.27.0
 
Install as a Cake Addin
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Managed&version=1.27.0
 
Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

About

👁 ONNX Runtime Logo

ONNX Runtime is a cross-platform machine-learning inferencing accelerator.

ONNX Runtime can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.

Learn more → here

NuGet Packages

ONNX Runtime Native packages

Microsoft.ML.OnnxRuntime
Microsoft.ML.OnnxRuntime.Gpu
Microsoft.ML.OnnxRuntime.DirectML
Microsoft.ML.OnnxRuntime.QNN
Intel.ML.OnnxRuntime.OpenVino

Other packages

Microsoft.ML.OnnxRuntime.Managed
  • C# language bindings
Microsoft.ML.OnnxRuntime.Extensions
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 is compatible.  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-android35.0 net9.0-android35.0 is compatible.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-ios18.0 net9.0-ios18.0 is compatible.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-maccatalyst18.0 net9.0-maccatalyst18.0 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (106)

Showing the top 5 NuGet packages that depend on Microsoft.ML.OnnxRuntime.Managed:

Package Downloads
Microsoft.ML.OnnxRuntime

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

Microsoft.ML.OnnxRuntime.Gpu.Linux

This package contains Linux native shared library artifacts for ONNX Runtime with CUDA.

Microsoft.ML.OnnxRuntime.Gpu

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

Microsoft.ML.OnnxTransformer

ML.NET component for Microsoft.ML.OnnxRuntime.Managed library

Microsoft.ML.AutoML

ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters

GitHub repositories (21)

Showing the top 20 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Managed:

Repository Stars
babalae/better-genshin-impact
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 | 自动采集/挖矿/锄地 | 一条龙 | 全连音游 | 自动烹饪 - UI Automation Testing Tools For Genshin Impact
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
wangfreexx/wangfreexx-tianruoocr-cl-paddle
天若ocr开源版本的本地版,采用Chinese-lite和paddleocr识别框架
rocksdanister/weather
Windows native weather app powered by DirectX12 animations
techwingslab/yolov5-net
YOLOv5 object detection with C#, ML.NET, ONNX
microsoft/onnxruntime-training-examples
Examples for using ONNX Runtime for model training.
FaceONNX/FaceONNX
Face recognition and analytics library based on deep neural networks and ONNX runtime
guojin-yan/YoloDeployCsharp
Deploying Yolov8-det, Yolov8-pose, Yolov8-cls, and Yolov8-seg models based on C # programming language.
sstainba/Yolov8.Net
A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
unoplatform/Uno.Samples
A collection of code samples for the Uno Platform
cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
saddam213/OnnxStack
C# Stable Diffusion using ONNX Runtime
vocoder712/OpenUtauMobile
OpenUtau Mobile 是一个面向移动端的开源免费歌声合成软件; OpenUtau Mobile is a free and open-source singing voice synthesis software for mobile devices.
Lyrcaxis/KokoroSharp
Fast local TTS inference engine in C# with ONNX runtime. Multi-speaker, multi-platform and multilingual. Integrate on your .NET projects using a plug-and-play NuGet package, complete with all voices.
Vincentzyx/VinXiangQi
Xiangqi syncing tool based on Yolov5 / 基于Yolov5的中国象棋连线工具
ThioJoe/Thio-Universal-Agent
Let AI control anything on your computer through GUI interaction. All in one Exe, no install required.
guojin-yan/DeploySharp
Deploying deep learning models on multiple platforms (OpenVINO/ONNX Runtime, etc.)
one-ware/OneWare
Next Generation IDE for Electronics Development
georg-jung/FaceAiSharp
State-of-the-art face detection and face recognition for .NET.
Version Downloads Last Updated
1.27.0 1,771 6/16/2026
1.26.0 99,145 5/8/2026
1.25.1 45,201 4/27/2026
1.25.0 6,615 4/24/2026
1.25.0-rc.1 99 4/24/2026
1.24.3 98,381 3/5/2026
1.24.2 64,601 2/19/2026
1.24.1 64,045 2/5/2026
1.23.2 569,818 10/25/2025
1.23.1 53,853 10/8/2025
1.23.0 167,215 9/26/2025
1.23.0-rc.2 387 9/21/2025
1.23.0-rc.1 7,029 9/3/2025
1.22.2 44,353 8/13/2025
1.22.1 362,784 7/1/2025
1.22.0 375,105 5/9/2025
1.21.2 9,429 4/24/2025
1.21.1 4,255 4/21/2025 1.21.1 is deprecated.
1.21.0 443,160 3/7/2025
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Release Def:
       Branch: refs/heads/rel-1.27.0
       Commit: 8f0278c77bf44b0cc83c098c6c722b92a36ac4b5
       Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1263613