🍊 :bar_chart: :bulb: Orange: Interactive data analysis
$ npx skills add biolab/orange3Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
$ npx skills add biolab/orange3A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
$ npx skills add microsoft/FLAMLStatistical Machine Intelligence & Learning Engine
$ npx skills add haifengl/smileA 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.
$ npx skills add yzhao062/pyodA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonA unified framework for machine learning with time series
$ npx skills add sktime/sktimeAn open source python library for automated feature engineering
$ npx skills add alteryx/featuretoolsThe Open Source Feature Store for AI/ML
$ npx skills add feast-dev/feastAim 💫 — An easy-to-use & supercharged open-source experiment tracker.
$ npx skills add aimhubio/aimLightning ⚡️ fast forecasting with statistical and econometric models.
$ npx skills add Nixtla/statsforecastHigh-Performance Symbolic Regression in Python and Julia
$ npx skills add MilesCranmer/PySRLazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
$ npx skills add shankarpandala/lazypredictPython package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
$ npx skills add mljar/mljar-supervised12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersDeepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
$ npx skills add deepchecks/deepchecksHow 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 Pycaret 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.