AutoML Frameworks
Comprehensive AutoML platforms and tools that automate end-to-end machine learning pipeline creation, including model selection, hyperparameter tuning, and feature engineering for tabular and structured data. Does NOT include specialized neural architecture search, individual hyperparameter optimization tools, or domain-specific ML applications.
There are 117 automl frameworks tracked. 5 score above 70 (verified tier). The highest-rated is shankarpandala/lazypredict at 89/100 with 3,301 stars and 31,613 monthly downloads. 4 of the top 10 are actively maintained.
Get all 117 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps... |
|
Verified |
| 2 |
process-intelligence-solutions/pm4py
Official public repository for PM4Py (Process Mining for Python) — an... |
|
Verified |
| 3 |
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord:... |
|
Verified |
| 4 |
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code |
|
Verified |
| 5 |
keras-team/autokeras
AutoML library for deep learning |
|
Verified |
| 6 |
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT |
|
Established |
| 7 |
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering,... |
|
Established |
| 8 |
IBM/lale
Library for Semi-Automated Data Science |
|
Established |
| 9 |
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML) |
|
Established |
| 10 |
scikit-multiflow/scikit-multiflow
A machine learning package for streaming data in Python. The other ancestor of River. |
|
Established |
| 11 |
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning... |
|
Established |
| 12 |
Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the... |
|
Established |
| 13 |
AutoViML/AutoViz
Automatically Visualize any dataset, any size with a single line of code. ... |
|
Established |
| 14 |
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production |
|
Established |
| 15 |
HDI-Project/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine... |
|
Established |
| 16 |
alteryx/evalml
EvalML is an AutoML library written in python. |
|
Established |
| 17 |
TsLu1s/atlantic
Atlantic: Automated Data Preprocessing Framework for Machine Learning |
|
Established |
| 18 |
Automunge/AutoMunge
Tabular feature encoding pipelines for machine learning with options for... |
|
Established |
| 19 |
openml/automlbenchmark
OpenML AutoML Benchmarking Framework |
|
Established |
| 20 |
AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library. |
|
Established |
| 21 |
ozguraslank/flexml
Easy-to-use and flexible AutoML library for Python |
|
Established |
| 22 |
D-X-Y/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a... |
|
Established |
| 23 |
kaiko-ai/eva
Evaluation framework for oncology foundation models (FMs) |
|
Established |
| 24 |
Palashio/libra
Ergonomic machine learning for everyone. |
|
Established |
| 25 |
minimaxir/automl-gs
Provide an input CSV and a target field to predict, generate a model + code... |
|
Established |
| 26 |
EpistasisLab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning... |
|
Established |
| 27 |
reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter... |
|
Established |
| 28 |
Unbabel/COMET
A Neural Framework for MT Evaluation |
|
Established |
| 29 |
sapientml/sapientml
Generative AutoML for Tabular Data |
|
Emerging |
| 30 |
microsoft/AutoBrewML
With AutoBrewML Framework the time it takes to get production-ready ML... |
|
Emerging |
| 31 |
rafiqhasan/auto-tensorflow
Build Low Code Automated Tensorflow explainable models in just 3 lines of... |
|
Emerging |
| 32 |
AutoViML/deep_autoviml
Build tensorflow keras model pipelines in a single line of code. Now with... |
|
Emerging |
| 33 |
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle,... |
|
Emerging |
| 34 |
anovos/anovos
Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark |
|
Emerging |
| 35 |
gradsflow/gradsflow-automl
An open-source AutoML Library based on PyTorch |
|
Emerging |
| 36 |
jianzhnie/AutoTabular
Automatic machine learning for tabular data. ⚡🔥⚡ |
|
Emerging |
| 37 |
aimclub/Fedot.Industrial
Python framework for automated time series classification, regression and forecasting |
|
Emerging |
| 38 |
THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs. |
|
Emerging |
| 39 |
KhiopsML/khiops
Khiops is an AutoML suite for supervised and unsupervised learning |
|
Emerging |
| 40 |
4paradigm/AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining... |
|
Emerging |
| 41 |
IBM/AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning... |
|
Emerging |
| 42 |
szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used... |
|
Emerging |
| 43 |
DeepWisdom/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for... |
|
Emerging |
| 44 |
AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created... |
|
Emerging |
| 45 |
VIDA-NYU/alpha-automl
Alpha-AutoML is a Python library for automatically generating end-to-end... |
|
Emerging |
| 46 |
Auto-DL/Auto-DL
Auto-DL helps you make Deep Learning models without writing a single line of... |
|
Emerging |
| 47 |
blobcity/autoai
Python based framework for Automatic AI for Regression and Classification... |
|
Emerging |
| 48 |
rishiraj/autolgbm
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune... |
|
Emerging |
| 49 |
compneurobilbao/ageml
AgeML is a Python package for Age Modeling with Machine Learning made easy. |
|
Emerging |
| 50 |
LapshinLeonid/configurable_automl_engine
A configuration-driven AutoML orchestrator for automated model selection and... |
|
Emerging |
| 51 |
OAID/AutoKernel
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。 |
|
Emerging |
| 52 |
eZWALT/eZAutoML
A Democratized, lightweight and modern framework for Python Automated... |
|
Emerging |
| 53 |
tier4/autoware-ml
Autoware-ML is a machine learning framework for multiple tasks, supporting... |
|
Emerging |
| 54 |
KhiopsML/khiops-python
The Python library of the Khiops AutoML suite |
|
Emerging |
| 55 |
alteryx/compose
A machine learning tool for automated prediction engineering. It allows you... |
|
Emerging |
| 56 |
dan0nchik/SAP-HANA-AutoML
Python Automated Machine Learning library for tabular data. |
|
Emerging |
| 57 |
diaoenmao/RPipe
Research Pipeline (RPipe) |
|
Emerging |
| 58 |
autonomio/autonomio
Core functionality for the Autonomio augmented intelligence workbench. |
|
Emerging |
| 59 |
simonprovost/Auto-Sklong
☂️ Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning... |
|
Emerging |
| 60 |
tvdboom/ATOM
Automated Tool for Optimized Modelling |
|
Emerging |
| 61 |
ClimbsRocks/machineJS
[UNMAINTAINED] Automated machine learning- just give it a data file! Check... |
|
Emerging |
| 62 |
gtzjh/mymodels
Assemble an efficient interpretable machine learning workflow. |
|
Emerging |
| 63 |
SkBlaz/autobot
An autoML for explainable text classification. |
|
Emerging |
| 64 |
allianceai/endgame
A unified framework for tabular, time-series, and multimodal machine learning |
|
Emerging |
| 65 |
ThomasWong2022/thor-public
AutoML tools for solving Time-Varying High-Dimensional Ordinal Regression Problems |
|
Emerging |
| 66 |
machinelearningnuremberg/DeepPipe
[KDD 2023] Deep Pipeline Embeddings for AutoML |
|
Emerging |
| 67 |
hse-cs/fulu
Fulu is a python library of supernova light curves approximation methods... |
|
Emerging |
| 68 |
BeastByteAI/falcon
A lightweight AutoML library. |
|
Experimental |
| 69 |
gia-uh/automl-survey
An (in-progress) AutoML survey focusing on practical systems. |
|
Experimental |
| 70 |
santiviquez/ageml
Study the temporal performance degradation of machine learning models. |
|
Experimental |
| 71 |
Revca-ANAI/ANAI
A to Z of ML |
|
Experimental |
| 72 |
ml-for-good/automl
We're designing the AutoML platform that would make it easy for... |
|
Experimental |
| 73 |
LARS-research/AutoML-Tutorial
Tutorials about AutoML |
|
Experimental |
| 74 |
zooniverse/hamlet
Produces subject set and classification exports suitable for AutoML |
|
Experimental |
| 75 |
cTJakt/glaucus
A general data-flow-based machine learning suit combining auto machine... |
|
Experimental |
| 76 |
isgel/AutoGrowAI
🌐 Self-Supervised Learning AI Framework | 自监督学习AI框架 |
|
Experimental |
| 77 |
Tole-k/SageML
Library providing all necessary tools to use automatically adjusted Machine... |
|
Experimental |
| 78 |
himanshu231204/AutoML-Studio-Pro-
AutoML Studio Pro is an interactive, browser-based platform that automates... |
|
Experimental |
| 79 |
christian-oleary/AutoML-Python-Benchmark
Benchmarks of AutoML Frameworks |
|
Experimental |
| 80 |
danijeun/foresee-app
AI-powered AutoML platform that transforms CSV files into ML insights in 60... |
|
Experimental |
| 81 |
marcelovca90/auto-ml-evaluation
Code of the article "A practical evaluation of AutoML tools for binary,... |
|
Experimental |
| 82 |
Apaezmx/simplifai
Free automated deep learning for spreadsheets |
|
Experimental |
| 83 |
galafis/automl-hyperparameter-optimization
Automl Hyperparameter Optimization - Professional Python project |
|
Experimental |
| 84 |
TurboRx/Evo-Learn
Automated ML tool leveraging TPOT for efficient model selection and... |
|
Experimental |
| 85 |
Mohammad-Khot/AutoML
A modular AutoML engine for automated model training, tuning, and benchmarking. |
|
Experimental |
| 86 |
riteshahlawat/Auto-ML
AutoML that runs within your ecosystem |
|
Experimental |
| 87 |
aminSa-21/automl
🤖 Simplify machine learning with automl—a local, browser-based tool for... |
|
Experimental |
| 88 |
Viswajith-Coder/automl
🤖 Automate machine learning tasks locally in the browser or on a server with... |
|
Experimental |
| 89 |
Nike1-1/automl
⚙️ Automate machine learning tasks in-browser or with Node.js, utilizing... |
|
Experimental |
| 90 |
Eklavya20/diagnost
A diagnostics toolkit to help data scientists trust their models, not just... |
|
Experimental |
| 91 |
MaximAliev/modelbest
Library for automated modelling on tabular data |
|
Experimental |
| 92 |
MaximAliev/pymodeller
Library for automated modelling on tabular data |
|
Experimental |
| 93 |
BrandWill-ML-DS-DE/enterprise-automl
Production-ready AutoML platform with Optuna, MLflow, and FastAPI. |
|
Experimental |
| 94 |
abdozmantar/zipml
A simple AutoML tool for small datasets with useful helper functions |
|
Experimental |
| 95 |
moayadeldin/deeptune
Advanced CLI tool for automating Machine Learning (AutoML) using... |
|
Experimental |
| 96 |
govindansriram/CobraML
AutoML Software designed to give users access to a whole plethora of ML... |
|
Experimental |
| 97 |
dariodip/rfd-discovery
This project, written in Python and Cython, deals with Discovery of Relaxed... |
|
Experimental |
| 98 |
jmaczan/text-to-ml
Programmable automated machine learning - proof of concept |
|
Experimental |
| 99 |
iffat336/AutoML
AutoML-driven health prediction system showcasing automated model selection,... |
|
Experimental |
| 100 |
Hareeswar2006/PickMyModel
PickMyModel is an end to end AutoML and meta-learning system that... |
|
Experimental |
| 101 |
BhaveshBhakta/Intelligent-ML-Analytics-Engine
An AI-powered automated machine learning pipeline for end-to-end dataset... |
|
Experimental |
| 102 |
MohamedAyman-Navigator/AutoML-Final-
Automated Machine Learning (AutoML) project that trains, tunes, and... |
|
Experimental |
| 103 |
jshin-jackson/auto-ml
🤖 AutoML 완전 이해 프로젝트 | TPOT 유전 알고리즘 + Dask 분산처리 + SDV 합성데이터 | 초등학생도 이해하는 입문부터... |
|
Experimental |
| 104 |
memnaaaaa/AutoML
AutoML (Automated Machine Learning) is a technology that streamlines the... |
|
Experimental |
| 105 |
ModulabsRAPIDSLAB/H2O_AutoML
RAPIDS LAB 세미나 — H2O AutoML: Pandas 이후, RAPIDS 이전의 CPU 기반 분산 병렬 AutoML... |
|
Experimental |
| 106 |
appliedalgorithmslab/ml-model-benchmarking
Reproducible machine learning benchmarking framework for comparing models... |
|
Experimental |
| 107 |
pytabular-ai/auto-scikit-dl
An automatic deep tabular learning package |
|
Experimental |
| 108 |
keertanakappuram/Automated-Machine-Learning-Expert-System
AutoML system automating model selection, feature engineering &... |
|
Experimental |
| 109 |
Mr0Master/MachineLearningAUTOMATED
Automated Python ML pipeline that cleans datasets, handles missing values,... |
|
Experimental |
| 110 |
Shivang0101/TabularAutoML
End-to-end AutoML platform for tabular classification — 13 models, HPO,... |
|
Experimental |
| 111 |
GUT-AI/auto-ml
Automated Machine Learning (AutoML) |
|
Experimental |
| 112 |
sino-aus/POMA-Data-Analysis-and-AutoML-Platform
Automate data analysis and modeling, so you can focus on the work that makes... |
|
Experimental |
| 113 |
zgornel/Kdautoml.jl
Knowledge-driven AutoML |
|
Experimental |
| 114 |
Airtable-Automator/automl-training
AutoML Training is an Airtable Block that helps you build custom machine... |
|
Experimental |
| 115 |
kAIto47802/condPED-ANOVA
Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic... |
|
Experimental |
| 116 |
joaquin-alfaro/magnolia-content-translation-ml
Usage of AutoML of Google to create a custom translation model from... |
|
Experimental |
| 117 |
Timothy102/AutoML
Go AutoML package that allows you to take use of the premade functionalities. |
|
Experimental |