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Apache Superset is a Data Visualization and Data Exploration Platform
75K starsSep 10, 2026 pushdata-analysisTypeScriptBI
$ npx skills add apache/supersetAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
AI-powered key driver analysis tool that pinpoints root cause behind metrics fluctuation in one minute.
Apache Superset is a Data Visualization and Data Exploration Platform
$ npx skills add apache/supersetdbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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$ npx skills add microsoft/Data-Science-For-BeginnersA modern, scalable analytics system
$ npx skills add datalens-tech/datalensMake Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
$ npx skills add getredash/redashAn Open Source implementation of Notebook LM with more flexibility and features
$ npx skills add lfnovo/open-notebookThe easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
$ npx skills add metabase/metabase🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.
$ npx skills add dataease/dataeaseA JavaScript library aimed at visualizing graphs of thousands of nodes and edges
$ npx skills add jacomyal/sigma.jsWebGL2 powered visualization framework
$ npx skills add visgl/deck.gl📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
$ npx skills add cube-js/cubescikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlitHow 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 Dsensei 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.