#1
An open source python library for automated feature engineering
7.7K starsJul 27, 2026 pushml-automationPythonMachine Learning
$ npx skills add alteryx/featuretoolsAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Feature engineering and selection open-source Python library compatible with sklearn.
An 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.
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$ npx skills add alexeygrigorev/data-science-interviews💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🔥Highlighting the top ML papers every week.
$ npx skills add dair-ai/AI-Papers-of-the-WeekPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbHow 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 Feature Engine 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.