Verified project record

EthicalML/awesome-production-machine-learning

This project is a categorized awesome-list of open source libraries for deploying, monitoring, versioning, scaling, and securing production machine learning systems. It provides a search toolkit to navigate the listed toolchain, serving as a discovery resource rather than a software package.

Project overview

It consolidates a wide variety of MLOps categories, including AutoML, computation optimization, privacy, and deployment, into a single navigable resource.

Project type: Workflow · Model Runtime · Evaluation & Observability · Infrastructure
Deployment: Refer to project documentation
License: MIT

Best for

Developers, AI engineers, and operations teams who need to discover and evaluate open source tools for deploying, monitoring, versioning, scaling, and securing production machine learning systems.

Key capabilities

A categorized awesome-list of open source libraries covering AutoML, computation optimization, data pipelines, deployment, evaluation, explainability, privacy, and more.
Provides a search toolkit to help users quickly navigate through the listed machine learning toolchain.

Limitations and risks

The repository serves as a curated list and does not directly ship or execute the listed libraries.

Getting started

Begin by navigating to the README.md file in the repository to view the categorized list of machine learning tools and libraries.

Evidence and sources

GitHub project description: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
README: This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning 🚀
README: Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-production-machine-learning/blob/master/CONTRIBUTING.md) requirements when submitting a PR to help us keep…
README: [🔧 AutoML](#automl) | [🧮 Computation & Communication Optimisation](#computation-and-communication-optimisation) | [🏷️ Data Annotation & Synthesis](#data-annotation-and-synthesis)
README: Additionally, we provide a [search toolkit](https://huggingface.co/spaces/zhiminy/Awesome-Production-Machine-Learning-Search) that helps you quickly navigate through the toolchain.

Reviewed at: 2026-07-17T11:43:20Z

Open original GitHub project