{"data":{"node":{"slug":"autogluon-autogluon","name":"autogluon","tagline":"Fast and Accurate ML in 3 Lines of Code","github_url":"https://github.com/autogluon/autogluon","owner":"autogluon","repo":"autogluon","owner_avatar_url":"https://avatars.githubusercontent.com/u/92389699?v=4","primary_language":"Python","stars":10756,"forks":1197,"topics":["autogluon","automated-machine-learning","automl","computer-vision","data-science","deep-learning","ensemble-learning","forecasting","gluon","hyperparameter-optimization","machine-learning","natural-language-processing","object-detection","python","pytorch","scikit-learn","structured-data","tabular-data","time-series","transfer-learning"],"archived":false,"github_pushed_at":"2026-09-28T09:08:43+00:00","maintenance_label":"Very active","stars_delta_30d":180,"url":"https://www.graphcanon.com/tools/autogluon-autogluon","markdown_url":"https://www.graphcanon.com/tools/autogluon-autogluon.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/autogluon-autogluon","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=autogluon-autogluon"},"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":"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":"automated-machine-learning","name":"automated-machine-learning"},{"slug":"automl","name":"automl"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"data-science","name":"data-science"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"ensemble-learning","name":"ensemble-learning"},{"slug":"forecasting","name":"forecasting"},{"slug":"gluon","name":"gluon"}],"edges":[],"neighbours":[{"slug":"dmlc-xgboost","name":"xgboost","tagline":"Scalable, Portable and Distributed Gradient Boosting Library","github_url":"https://github.com/dmlc/xgboost","owner":"dmlc","repo":"xgboost","owner_avatar_url":"https://avatars.githubusercontent.com/u/11508361?v=4","primary_language":"C++","stars":28796,"forks":8912,"topics":["distributed-systems","gbdt","gbm","gbrt","machine-learning","xgboost"],"archived":false,"github_pushed_at":"2026-09-26T10:15:19+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/dmlc-xgboost","markdown_url":"https://www.graphcanon.com/tools/dmlc-xgboost.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dmlc-xgboost","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dmlc-xgboost","shared_categories":["model-training"]},{"slug":"ethicalml-awesome-production-machine-learning","name":"awesome-production-machine-learning","tagline":"A curated list of awesome open source libraries for deploying, monitoring, versioning and scaling machine learning","github_url":"https://github.com/EthicalML/awesome-production-machine-learning","owner":"EthicalML","repo":"awesome-production-machine-learning","owner_avatar_url":"https://avatars.githubusercontent.com/u/43532924?v=4","primary_language":null,"stars":20969,"forks":2607,"topics":["awesome","awesome-list","data-mining","deep-learning","explainability","interpretability","large-scale-machine-learning","large-scale-ml","machine-learning","machine-learning-operations","ml-operations","ml-ops","mlops","privacy-preserving","privacy-preserving-machine-learning","privacy-preserving-ml","production-machine-learning","production-ml","responsible-ai"],"archived":false,"github_pushed_at":"2026-10-03T12:11:51+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/ethicalml-awesome-production-machine-learning","markdown_url":"https://www.graphcanon.com/tools/ethicalml-awesome-production-machine-learning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ethicalml-awesome-production-machine-learning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ethicalml-awesome-production-machine-learning","shared_categories":[]},{"slug":"microsoft-nni","name":"nni","tagline":"An open source AutoML toolkit for automating machine learning lifecycle","github_url":"https://github.com/microsoft/nni","owner":"microsoft","repo":"nni","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":14366,"forks":1850,"topics":["automated-machine-learning","automl","bayesian-optimization","data-science","deep-learning","deep-neural-network","distributed","feature-engineering","hyperparameter-optimization","hyperparameter-tuning","machine-learning","machine-learning-algorithms","mlops","model-compression","nas","neural-architecture-search","neural-network","python","pytorch","tensorflow"],"archived":true,"github_pushed_at":"2024-07-03T10:55:10+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/microsoft-nni","markdown_url":"https://www.graphcanon.com/tools/microsoft-nni.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-nni","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-nni","shared_categories":["model-training"]},{"slug":"pycaret-pycaret","name":"pycaret","tagline":"Open-source low-code AutoML platform for Python","github_url":"https://github.com/pycaret/pycaret","owner":"pycaret","repo":"pycaret","owner_avatar_url":"https://avatars.githubusercontent.com/u/58118658?v=4","primary_language":"Python","stars":9849,"forks":1843,"topics":["anomaly-detection","automl","classification","clustering","data-science","fastapi","machine-learning","ml","mlops","open-source","pycaret","python","react","regression","scikit-learn"],"archived":false,"github_pushed_at":"2026-07-23T00:34:25+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pycaret-pycaret","markdown_url":"https://www.graphcanon.com/tools/pycaret-pycaret.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pycaret-pycaret","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pycaret-pycaret","shared_categories":["model-training"]},{"slug":"keras-team-autokeras","name":"autokeras","tagline":"AutoML library for deep learning","github_url":"https://github.com/keras-team/autokeras","owner":"keras-team","repo":"autokeras","owner_avatar_url":"https://avatars.githubusercontent.com/u/34455048?v=4","primary_language":"Python","stars":9335,"forks":1388,"topics":["autodl","automated-machine-learning","automl","deep-learning","keras","machine-learning","neural-architecture-search","python","tensorflow"],"archived":false,"github_pushed_at":"2025-11-25T02:26:35+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/keras-team-autokeras","markdown_url":"https://www.graphcanon.com/tools/keras-team-autokeras.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/keras-team-autokeras","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=keras-team-autokeras","shared_categories":["model-training","developer-tools"]},{"slug":"automl-auto-sklearn","name":"auto-sklearn","tagline":"Automated Machine Learning with scikit-learn","github_url":"https://github.com/automl/auto-sklearn","owner":"automl","repo":"auto-sklearn","owner_avatar_url":"https://avatars.githubusercontent.com/u/6469053?v=4","primary_language":"Python","stars":8134,"forks":1324,"topics":["automated-machine-learning","automl","bayesian-optimization","hyperparameter-optimization","hyperparameter-search","hyperparameter-tuning","meta-learning","metalearning","scikit-learn","smac"],"archived":false,"github_pushed_at":"2026-09-15T14:03:23+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/automl-auto-sklearn","markdown_url":"https://www.graphcanon.com/tools/automl-auto-sklearn.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/automl-auto-sklearn","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=automl-auto-sklearn","shared_categories":["model-training"]},{"slug":"clearml-clearml","name":"clearml","tagline":"MLOps/LLMOps solution for CI/CD in AI workloads","github_url":"https://github.com/clearml/clearml","owner":"clearml","repo":"clearml","owner_avatar_url":"https://avatars.githubusercontent.com/u/38647316?v=4","primary_language":"Python","stars":6891,"forks":802,"topics":["ai","clearml","control","deep-learning","deeplearning","devops","experiment","experiment-manager","k8s","llmops","machine-learning","machinelearning","mlops","version","version-control"],"archived":false,"github_pushed_at":"2026-09-23T15:46:34+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/clearml-clearml","markdown_url":"https://www.graphcanon.com/tools/clearml-clearml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/clearml-clearml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=clearml-clearml","shared_categories":["model-training"]},{"slug":"microsoft-flaml","name":"FLAML","tagline":"A fast library for AutoML and tuning","github_url":"https://github.com/microsoft/FLAML","owner":"microsoft","repo":"FLAML","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":4401,"forks":569,"topics":["automated-machine-learning","automl","classification","data-science","deep-learning","finetuning","hyperparam","hyperparameter-optimization","jupyter-notebook","machine-learning","natural-language-generation","natural-language-processing","python","random-forest","regression","scikit-learn","tabular-data","timeseries-forecasting","tuning"],"archived":false,"github_pushed_at":"2026-10-01T04:18:52+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/microsoft-flaml","markdown_url":"https://www.graphcanon.com/tools/microsoft-flaml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-flaml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-flaml","shared_categories":["model-training"]},{"slug":"hibayesian-awesome-automl-papers","name":"awesome-automl-papers","tagline":"A curated list of automated machine learning papers and resources.","github_url":"https://github.com/hibayesian/awesome-automl-papers","owner":"hibayesian","repo":"awesome-automl-papers","owner_avatar_url":"https://avatars.githubusercontent.com/u/28800408?v=4","primary_language":null,"stars":4161,"forks":677,"topics":["automated-feature-engineering","automl","hyperparameter-optimization","neural-architecture-search"],"archived":false,"github_pushed_at":"2024-06-11T16:51:05+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/hibayesian-awesome-automl-papers","markdown_url":"https://www.graphcanon.com/tools/hibayesian-awesome-automl-papers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hibayesian-awesome-automl-papers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hibayesian-awesome-automl-papers","shared_categories":["model-training"]},{"slug":"automl-auto-pytorch","name":"Auto-PyTorch","tagline":"Automatic architecture search and hyperparameter optimization for PyTorch","github_url":"https://github.com/automl/Auto-PyTorch","owner":"automl","repo":"Auto-PyTorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/6469053?v=4","primary_language":"Python","stars":2540,"forks":298,"topics":["automl","deep-learning","pytorch","tabular-data"],"archived":false,"github_pushed_at":"2024-04-09T06:17:08+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/automl-auto-pytorch","markdown_url":"https://www.graphcanon.com/tools/automl-auto-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/automl-auto-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=automl-auto-pytorch","shared_categories":["model-training"]},{"slug":"d-x-y-awesome-autodl","name":"Awesome-AutoDL","tagline":"Curated list of automated deep learning resources covering AutoDL, NAS, HPO","github_url":"https://github.com/D-X-Y/Awesome-AutoDL","owner":"D-X-Y","repo":"Awesome-AutoDL","owner_avatar_url":"https://avatars.githubusercontent.com/u/9547057?v=4","primary_language":"Python","stars":2344,"forks":317,"topics":["autodl","automl","awesome","deep-learning","hyper-parameter-optimization","nas","neural-architecture-search"],"archived":false,"github_pushed_at":"2022-09-26T01:35:49+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/d-x-y-awesome-autodl","markdown_url":"https://www.graphcanon.com/tools/d-x-y-awesome-autodl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/d-x-y-awesome-autodl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=d-x-y-awesome-autodl","shared_categories":["model-training","developer-tools"]},{"slug":"minimaxir-automl-gs","name":"automl-gs","tagline":"Automatically generate machine-learning models and code with input CSV and target field","github_url":"https://github.com/minimaxir/automl-gs","owner":"minimaxir","repo":"automl-gs","owner_avatar_url":"https://avatars.githubusercontent.com/u/2179708?v=4","primary_language":"Python","stars":1867,"forks":178,"topics":["automl","keras","machine-learning","python","tensorflow","xgboost"],"archived":false,"github_pushed_at":"2019-10-22T11:20:40+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/minimaxir-automl-gs","markdown_url":"https://www.graphcanon.com/tools/minimaxir-automl-gs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/minimaxir-automl-gs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=minimaxir-automl-gs","shared_categories":["model-training"]}]}}