#1
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluonAlternatives
Mljar Supervised alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Mljar Supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
100
Quality
93
Trust
3.3K
Stars
#2
An open source python library for automated feature engineering
7.7K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add alteryx/featuretools#3
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
4.4K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/FLAML#4
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
9.8K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add pycaret/pycaret#5
Lightning ⚡️ fast forecasting with statistical and econometric models.
4.8K starsJun 17, 2026 pushml-automationPythonMachine Learning
$ npx skills add Nixtla/statsforecast#6
High-Performance Symbolic Regression in Python and Julia
3.6K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add MilesCranmer/PySR#7
AutoML library for deep learning
9.3K starsNov 25, 2025 pushml-automationPythonMachine Learning
$ npx skills add keras-team/autokeras#8
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#9
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning#10
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#11
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
9.0K starsJun 12, 2026 pushml-automationC++Machine Learning
$ npx skills add catboost/catboost#12
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#13
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
7.5K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add h2oai/h2o-3#14
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig#15
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
10K starsSep 11, 2025 pushml-automationJupyter NotebookMachine Learning
$ npx skills add EpistasisLab/tpot#16
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandbHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Mljar Supervised if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.