Microsoft.ML.OnnxRuntime 1.29.0
About
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
- Native libraries for all supported platforms
- CPU Execution Provider
- CoreML Execution Provider on macOS/iOS
- XNNPACK Execution Provider on Android/iOS
Microsoft.ML.OnnxRuntime.Gpu
- Windows and Linux
- TensorRT Execution Provider
- CUDA Execution Provider
- CPU Execution Provider
Microsoft.ML.OnnxRuntime.DirectML
- Windows
- DirectML Execution Provider
- CPU Execution Provider
Microsoft.ML.OnnxRuntime.QNN
- 64-bit Windows
- QNN Execution Provider
- CPU Execution Provider
Intel.ML.OnnxRuntime.OpenVino
- 64-bit Windows
- OpenVINO Execution Provider
- CPU Execution Provider
Other packages
Microsoft.ML.OnnxRuntime.Managed
- C# language bindings
Microsoft.ML.OnnxRuntime.Extensions
- Custom operators for pre/post processing on all supported platforms.
No packages depend on Microsoft.ML.OnnxRuntime.
Release Def: Branch: refs/heads/rel-1.29.0 Commit: 2e2543fbe9fae542f921d47a72d21d5a4ef0b710 Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1354516
.NET Core 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.29.0)
.NET Standard 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.29.0)
.NET Framework 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.29.0)
native 0.0
- No dependencies.
.NET 9.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.29.0)
.NET 9.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.29.0)
.NET 9.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.29.0)
| Version | Downloads | Last updated |
|---|---|---|
| 1.29.0 | 1 | 08/12/2026 |
| 1.28.0 | 2 | 07/30/2026 |
| 1.28.0-rc.1 | 2 | 07/30/2026 |
| 1.27.1 | 2 | 07/12/2026 |
| 1.27.0 | 5 | 06/22/2026 |
| 1.26.0 | 7 | 05/11/2026 |
| 1.25.1 | 6 | 05/03/2026 |
| 1.25.0 | 6 | 05/03/2026 |
| 1.25.0-rc.1 | 6 | 05/03/2026 |
| 1.24.4 | 6 | 04/25/2026 |
| 1.24.3 | 4 | 04/25/2026 |
| 1.24.2 | 4 | 04/25/2026 |
| 1.24.1 | 4 | 04/25/2026 |
| 1.23.2 | 4 | 04/25/2026 |
| 1.23.1 | 4 | 04/25/2026 |
| 1.23.0 | 4 | 04/25/2026 |
| 1.23.0-rc.2 | 4 | 04/25/2026 |
| 1.23.0-rc.1 | 4 | 04/25/2026 |
| 1.22.1 | 4 | 04/25/2026 |
| 1.22.0 | 4 | 04/25/2026 |
| 1.21.0 | 4 | 04/25/2026 |
| 1.20.1 | 5 | 04/25/2026 |
| 1.20.0 | 4 | 04/25/2026 |
| 1.19.2 | 4 | 04/25/2026 |
| 1.19.1 | 4 | 04/25/2026 |
| 1.19.0 | 4 | 04/25/2026 |
| 1.18.1 | 4 | 04/25/2026 |
| 1.18.0 | 4 | 04/25/2026 |
| 1.17.3 | 4 | 04/25/2026 |
| 1.17.1 | 4 | 04/25/2026 |
| 1.17.0 | 4 | 04/25/2026 |
| 1.16.3 | 6 | 04/25/2026 |
| 1.16.2 | 4 | 04/25/2026 |
| 1.16.1 | 4 | 04/25/2026 |
| 1.16.0 | 4 | 04/25/2026 |
| 1.15.1 | 4 | 04/25/2026 |
| 1.15.0 | 4 | 04/25/2026 |
| 1.15.0-rc | 4 | 04/25/2026 |
| 1.15.0-alpha | 4 | 04/25/2026 |
| 1.14.1 | 4 | 04/25/2026 |
| 1.14.0 | 4 | 04/25/2026 |
| 1.13.1 | 4 | 04/25/2026 |
| 1.12.1 | 4 | 04/25/2026 |
| 1.12.0 | 4 | 04/25/2026 |
| 1.11.0 | 4 | 04/25/2026 |
| 1.10.0 | 5 | 04/25/2026 |
| 1.9.0 | 4 | 04/25/2026 |
| 1.8.1 | 5 | 04/25/2026 |
| 1.8.0 | 4 | 04/25/2026 |
| 1.7.0 | 4 | 04/25/2026 |
| 1.6.0 | 4 | 04/25/2026 |
| 1.5.2 | 4 | 04/25/2026 |
| 1.5.1 | 5 | 03/17/2026 |
| 1.4.0 | 4 | 04/25/2026 |
| 1.3.0 | 4 | 04/25/2026 |
| 1.2.0 | 5 | 04/24/2026 |
| 1.1.2 | 5 | 04/25/2026 |
| 1.1.1 | 4 | 04/25/2026 |
| 1.1.0 | 4 | 04/25/2026 |
| 1.0.0 | 4 | 04/25/2026 |
| 0.5.1 | 4 | 04/25/2026 |
| 0.5.0 | 4 | 04/25/2026 |
| 0.4.0 | 4 | 04/25/2026 |
| 0.3.1 | 4 | 04/25/2026 |
| 0.3.0 | 4 | 04/25/2026 |
| 0.2.1 | 4 | 04/25/2026 |
| 0.1.5 | 4 | 04/25/2026 |