Apache Superset is a Data Visualization and Data Exploration Platform
$ npx skills add apache/supersetAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.
Apache Superset is a Data Visualization and Data Exploration Platform
$ npx skills add apache/superset🔥 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.
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$ npx skills add lukasmasuch/best-of-ml-pythonAKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
$ npx skills add akfamily/akshareOpen-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
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$ npx skills add OpenRefine/OpenRefineOfficial repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
$ npx skills add trinodb/trinoStatsmodels: statistical modeling and econometrics in Python
$ npx skills add statsmodels/statsmodelsThe open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
$ npx skills add grafana/grafanaMake Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
$ npx skills add getredash/redashA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learnHow 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 Sql Data Analytics Project 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.