superset vs chartbrew

Business intelligence and dashboard tools compared

superset and chartbrew both help teams turn data into charts and dashboards. superset focuses on SQL-based analytics across supported data sources, while chartbrew connects APIs and databases and supports sharing and embedding dashboards.

supersetchartbrew
LanguagePythonJavaScript
LicenseApache-2.0NOASSERTION
Stars75k4.1k
Forks18.4k458
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • superset offers a browser-based SQL editor and a semantic layer for defining dimensions and metrics; chartbrew provides editors for database queries and API requests.
  • superset connects to SQL sources through Python DB-API drivers and SQLAlchemy dialects; chartbrew supports APIs and both SQL and NoSQL databases.
  • superset is written in Python and uses the Apache-2.0 license; chartbrew is written in JavaScript and reports its license as NOASSERTION.
  • superset is self-hosted and requires administrators to configure deployment, security, and database drivers; chartbrew can be self-hosted or used as a hosted service.
  • chartbrew supports embedding charts and describes team collaboration, scheduling, and an AI assistant; superset highlights role-based security, configurable caching, and an extension framework.
  • superset has 75k stars and 18.4k forks, compared with chartbrew's 4.1k stars and 458 forks.

Choose superset if you…

  • need a SQL-focused analytics interface with a browser-based query editor and semantic layer.
  • want to build visualizations and dashboards across supported SQL databases and engines.
  • need role-based security, configurable caching, or programmatic customization options.
Read the superset analysis →

Choose chartbrew if you…

  • need to create reports from APIs as well as SQL or NoSQL databases.
  • want to share dashboards or embed charts in a site or internal tool.
  • prefer a hosted service option or want a JavaScript-based project.
Read the chartbrew analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.