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kelvins/awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

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PythonCreated May 25, 2020

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Overview

:sunglasses: A curated list of awesome MLOps tools

Capability facts

Languages
python

Source: github.language · Jul 11, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

Inspired by [awesome-python](https://github.com/vinta/awesome-python).
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Tags

README

Awesome MLOps

A curated list of awesome MLOps tools.

Inspired by awesome-python.

  • Awesome MLOps
    • AutoML
    • CI/CD for Machine Learning
    • Cron Job Monitoring
    • Data Catalog
    • Data Enrichment
    • Data Exploration
    • Data Management
    • Data Processing
    • Data Validation
    • Data Visualization
    • Drift Detection
    • Feature Engineering
    • Feature Store
    • Hyperparameter Tuning
    • Knowledge Sharing
    • Machine Learning Platform
    • Model Fairness and Privacy
    • Model Interpretability
    • Model Lifecycle
    • Model Serving
    • Model Testing & Validation
    • Optimization Tools
    • Simplification Tools
    • Visual Analysis and Debugging
    • Workflow Tools
  • Resources
    • Articles
    • Books
    • Events
    • Other Lists
    • Podcasts
    • Slack
    • Websites
  • Contributing

AutoML

Tools for performing AutoML.

  • AutoGluon - Automated machine learning for image, text, tabular, time-series, and multi-modal data.
  • AutoKeras - AutoKeras goal is to make machine learning accessible for everyone.
  • AutoPyTorch - Automatic architecture search and hyperparameter optimization for PyTorch.
  • AutoSKLearn - Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
  • EvalML - A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
  • FLAML - Finds accurate ML models automatically, efficiently and economically.
  • H2O AutoML - Automates ML workflow, which includes automatic training and tuning of models.
  • MindsDB - AI layer for databases that allows you to effortlessly develop, train and deploy ML models.
  • MLBox - MLBox is a powerful Automated Machine Learning python library.
  • Model Search - Framework that implements AutoML algorithms for model architecture search at scale.
  • NNI - An open source AutoML toolkit for automate machine learning lifecycle.

CI/CD for Machine Learning

Tools for performing CI/CD for Machine Learning.

  • ClearML - Auto-Magical CI/CD to streamline your ML workflow.
  • CML - Open-source library for implementing CI/CD in machine learning projects.
  • KitOps – Open source MLOps project that eases model handoffs between data scientist and DevOps.

Cron Job Monitoring

Tools for monitoring cron jobs (recurring jobs).

  • Cronitor - Monitor any cron job or scheduled task.
  • HealthchecksIO - Simple and effective cron job monitoring.
  • Heartbeat.pm - Monitoring aliveness of any sensor/cron job.

Data Catalog

Tools for data cataloging.