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awesome-mlops

kelvins/awesome-mlops

A curated list of awesome MLOps tools.

GraphCanon updated 2w · GitHub synced 2w

5.2k stars762 forksLast push 3mo Python

Decision brief

Awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML.

Good fit when

  • You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
  • Curating an inclusive portfolio of tools while favoring transparency and community-driven updates.

Avoid when

  • In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform.
  • Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (97d since push)
As of 2w
Provenance
Not a fork · Personal account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install awesome-mlops
PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides categorized lists for various aspects of MLOps including AutoML, CI/CD for Machine Learning, and Model Serving.

Capability facts

Languages
python

Source: github.language · Aug 4, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Aug 4, 2026)

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

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.

For agents

This page has a .md twin and JSON over the API.

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