#1
Always know what to expect from your data.
12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectationsAlternatives
Made With ML alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Made With ML
Learn how to develop, deploy and iterate on production-grade ML applications.
100
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89
Trust
48K
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#2
The Open Source Feature Store for AI/ML
7.1K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add feast-dev/feast#3
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#4
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#5
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#6
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#7
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#8
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
24K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add PaddlePaddle/Paddle#9
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
11K starsJul 23, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandb#10
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#11
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
10K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add skypilot-org/skypilot#12
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
34K starsMar 25, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add openai/CLIP#13
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
9.9K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/pyod#14
Label Studio is a multi-type data labeling and annotation tool with standardized output format
28K starsJun 16, 2026 pushml-automationTypeScriptMLOps
$ npx skills add HumanSignal/label-studio#15
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#16
A python library for user-friendly forecasting and anomaly detection on time series.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/dartsHow 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 Made With ML if it already passes your workflow test and repository review.
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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.