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@@ -14,6 +14,7 @@ A curated list of awesome open source and commercial platforms for serving model
 * [PredictionIO](https://github.com/apache/predictionio): Event collection, deployment of algorithms, evaluation, querying predictive results via APIs.
 * [Rune](https://github.com/hotg-ai/rune): Provides containers to encapsulate and deploy EdgeML pipelines and applications.
 * [Seldon](https://www.seldon.io/): Take your ML projects from POC to production with maximum efficiency and minimal risk.
+* [Shimmy](https://github.com/Michael-A-Kuykendall/shimmy): Python-free Rust inference server with OpenAI API compatibility, hot model swapping, and zero dependencies.
 * [Streamlit](https://github.com/streamlit/streamlit): Lets you create apps for your ML projects with deceptively simple Python scripts.
 * [TensorFlow Serving](https://www.tensorflow.org/tfx/guide/serving): Flexible, high-performance serving system for ML models, designed for production.
 * [TorchServe](https://github.com/pytorch/serve): A flexible and easy to use tool for serving PyTorch models.