Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Library for Semi-Automated Data Science
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonAn open source python library for automated feature engineering
$ npx skills add alteryx/featuretoolsPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightning💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
$ npx skills add pycaret/pycaret🧙 Build, run, and manage data pipelines for integrating and transforming data.
$ npx skills add mage-ai/mage-aiDeep Learning for humans
$ npx skills add keras-team/keras🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsH2O 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.
$ npx skills add h2oai/h2o-3Open standard for machine learning interoperability
$ npx skills add onnx/onnxMachine Learning Systems
$ npx skills add harvard-edge/cs249r_bookA hyperparameter optimization framework
$ npx skills add optuna/optunaLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwig🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaHow to choose
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 Lale if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.