{"data":{"slug":"kelvins-awesome-mlops","name":"awesome-mlops","tagline":"A curated list of awesome MLOps tools.","github_url":"https://github.com/kelvins/awesome-mlops","owner":"kelvins","repo":"awesome-mlops","owner_avatar_url":"https://avatars.githubusercontent.com/u/1009397?v=4","primary_language":"Python","stars":5229,"forks":762,"topics":["ai","awesome","data-science","machine-learning","machine-learning-engineering","ml","mle","mlops"],"archived":false,"github_pushed_at":"2026-04-29T15:00:57+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/kelvins-awesome-mlops","markdown_url":"https://www.graphcanon.com/tools/kelvins-awesome-mlops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kelvins-awesome-mlops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kelvins-awesome-mlops","description":":sunglasses: A curated list of awesome MLOps tools","homepage_url":null,"license":null,"open_issues":71,"watchers":94,"ai_summary":"Provides categorized lists for various aspects of MLOps including AutoML, CI/CD for Machine Learning, and Model Serving.","readme_excerpt":"# Awesome MLOps \n\nA curated list of awesome MLOps tools.\n\nInspired by [awesome-python](https://github.com/vinta/awesome-python).\n\n- [Awesome MLOps](#awesome-mlops)\n    - [AutoML](#automl)\n    - [CI/CD for Machine Learning](#cicd-for-machine-learning)\n    - [Cron Job Monitoring](#cron-job-monitoring)\n    - [Data Catalog](#data-catalog)\n    - [Data Enrichment](#data-enrichment)\n    - [Data Exploration](#data-exploration)\n    - [Data Management](#data-management)\n    - [Data Processing](#data-processing)\n    - [Data Validation](#data-validation)\n    - [Data Visualization](#data-visualization)\n    - [Drift Detection](#drift-detection)\n    - [Feature Engineering](#feature-engineering)\n    - [Feature Store](#feature-store)\n    - [Hyperparameter Tuning](#hyperparameter-tuning)\n    - [Knowledge Sharing](#knowledge-sharing)\n    - [Machine Learning Platform](#machine-learning-platform)\n    - [Model Fairness and Privacy](#model-fairness-and-privacy)\n    - [Model Interpretability](#model-interpretability)\n    - [Model Lifecycle](#model-lifecycle)\n    - [Model Serving](#model-serving)\n    - [Model Testing & Validation](#model-testing--validation)\n    - [Optimization Tools](#optimization-tools)\n    - [Simplification Tools](#simplification-tools)\n    - [Visual Analysis and Debugging](#visual-analysis-and-debugging)\n    - [Workflow Tools](#workflow-tools)\n- [Resources](#resources)\n    - [Articles](#articles)\n    - [Books](#books)\n    - [Events](#events)\n    - [Other Lists](#other-lists)\n    - [Podcasts](#podcasts)\n    - [Slack](#slack)\n    - [Websites](#websites)\n- [Contributing](#contributing)\n\n---\n\n## AutoML\n\n*Tools for performing AutoML.*\n\n* [AutoGluon](https://github.com/awslabs/autogluon) - Automated machine learning for image, text, tabular, time-series, and multi-modal data.\n* [AutoKeras](https://github.com/keras-team/autokeras) - AutoKeras goal is to make machine learning accessible for everyone.\n* [AutoPyTorch](https://github.com/automl/Auto-PyTorch) - Automatic architecture search and hyperparameter optimization for PyTorch.\n* [AutoSKLearn](https://github.com/automl/auto-sklearn) - Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.\n* [EvalML](https://github.com/alteryx/evalml) - A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.\n* [FLAML](https://github.com/microsoft/FLAML) - Finds accurate ML models automatically, efficiently and economically.\n* [H2O AutoML](https://h2o.ai/platform/h2o-automl) - Automates ML workflow, which includes automatic training and tuning of models.\n* [MindsDB](https://github.com/mindsdb/mindsdb) - AI layer for databases that allows you to effortlessly develop, train and deploy ML models.\n* [MLBox](https://github.com/AxeldeRomblay/MLBox) - MLBox is a powerful Automated Machine Learning python library.\n* [Model Search](https://github.com/google/model_search) - Framework that implements AutoML algorithms for model architecture search at scale.\n* [NNI](https://github.com/microsoft/nni) - An open source AutoML toolkit for automate machine learning lifecycle.\n\n## CI/CD for Machine Learning\n\n*Tools for performing CI/CD for Machine Learning.*\n\n* [ClearML](https://github.com/allegroai/clearml) - Auto-Magical CI/CD to streamline your ML workflow.\n* [CML](https://github.com/iterative/cml) - Open-source library for implementing CI/CD in machine learning projects.\n* [KitOps](https://github.com/jozu-ai/kitops) – Open source MLOps project that eases model handoffs between data scientist and DevOps. \n\n## Cron Job Monitoring\n\n*Tools for monitoring cron jobs (recurring jobs).*\n\n* [Cronitor](https://cronitor.io/cron-job-monitoring) - Monitor any cron job or scheduled task.\n* [HealthchecksIO](https://healthchecks.io/) - Simple and effective cron job monitoring.\n* [Heartbeat.pm](https://heartbeat.pm) - Monitoring aliveness of any sensor/cron job.\n\n## Data Catalog\n\n*Tools for data cataloging.*\n\n* [Amundsen](https://www.amundsen.io/) - Data discove","github_created_at":"2020-05-25T22:53:26+00:00","created_at":"2026-07-11T23:39:22.834245+00:00","updated_at":"2026-08-04T18:02:17.363251+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"awesome","name":"awesome"},{"slug":"data-science","name":"data-science"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"machine-learning-engineering","name":"machine-learning-engineering"},{"slug":"ml","name":"ml"},{"slug":"mle","name":"mle"},{"slug":"mlops","name":"mlops"}],"trust":{"provenance":{"is_fork":false,"github_id":266895706,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-04T18:02:14.124Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":97,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:39:24.696Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-04T18:02:16.978Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-04T18:02:16.978Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-17T06:20:00.198Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML."}]}}