# microsoft/onnxruntime

> Cross-platform accelerator for ML inference and training. Runs models from PyTorch, TensorFlow, scikit-learn and others via the ONNX format with graph optimizations and hardware acceleration.

- Magnitude: 1.3 out of 10 — Steady
- Stars: 22,213 total · +3 stars measured 2026-11-02, 00:13–23:11 UTC
- Star trust: star growth looks organic
- Category: Language models · Language: C++ · License: MIT · Created: 2018-11-10 · Last push: 2026-11-02
- GitHub: https://github.com/microsoft/onnxruntime · Homepage: https://onnxruntime.ai · Page: https://gitnova.dev/en/r/microsoft/onnxruntime

## Useful for

- Run inference of a PyTorch model on CPU or GPU via ONNX Runtime
- Speed up transformer training on multi-node NVIDIA GPUs with a one-line change to a PyTorch script
- Deploy a scikit-learn or XGBoost model in production with hardware acceleration

## Why it’s here

- Star-counter measurements on 2026-11-02 (UTC), 00:13–23:11: 22210 → 22213 stars (+3). This is the change over that interval.
- GitHub Trending C++ today: #7, +12 stars.
- Recent forks include notable developers: @salmanmkc (729 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 4,397
- Issues and pull requests: 30,302
- Watchers: 264
- Average over the last week: 6 per day
- Usual pace: 9 per day
- Stars in the last hour (measured): 0
- Latest release: v1.30.1 (2026-10-29)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: 16, 8, 7, 9, 2, 4, 7, 5, 11, 14, 6, 8, 12, 8, 6, 5, 8, 13, 11, 7, 13, 8, 5, 5, 7, 7, 9, 10, 4, 3

## Magnitude by day, last 14 days

10-13 2.3, 10-14 2.1, 10-15 1.4, 10-23 1.6, 10-24 1.7, 10-25 2.0, 10-26 1.6, 10-27 1.4, 10-28 1.6, 10-29 1.8, 10-30 2.0, 10-31 2.1, 11-01 2.4, 11-02 1.4

## Spotted in now

- GitHub Trending C++ today: #7, +12 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-11-02 23:16 UTC, updated every 30 minutes.