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Chartbrew

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Open-source self-hosted data visualization dashboards

4k stars 458 forks last commit first released

Actively maintained

Last commit 5 Aug 2026.

Chartbrew screenshot

Overview Chartbrew is an open-source web application that lets teams connect to databases and APIs to build, edit, and share live charts and dashboards. It supports a chart builder, editable dashboards, and embeddable charts, with collaboration features for teams and clients.

Key Features

  • Report Builder: create data-driven reports with a user-friendly interface and multiple data sources
  • Chartbrew AI: converse with data to generate insights and visualizations using an AI assistant
  • Data Alerts: set thresholds and get notified of anomalies or changes
  • Data Update Schedule: automate regular data refreshes and reporting cadence
  • Automated Dashboard Snapshots: deliver dashboards to Slack, email, or webhooks on a schedule
  • Embedded Reports: embed interactive dashboards and charts into other apps or sites
  • SQL Query Builder: build and refine SQL queries without writing code
  • Client Accounts: manage access for teams and clients with granular permissions
  • Webhooks & API: automate workflows and integrations with external tools
  • Dashboard Templates: reuse and scale client dashboards with templated designs
  • Integrations: connect to a wide range of data sources and services
  • Multi-tenant collaboration: support team-wide sharing and collaboration on dashboards

Use Cases

  • Internal analytics: create KPI dashboards and real-time monitoring across multiple data sources for teams
  • Client reporting: prepare branded, template-driven dashboards for multiple clients with secure access
  • Embedded analytics: integrate charts and dashboards into existing products or portals via embedding

Conclusion Chartbrew combines a visual chart/dashboard builder with AI-powered insights, collaboration, and flexible data source connections. As an open-source platform, it supports self-hosted deployments, client reporting needs, and automated workflows to streamline analytics across teams and clients.

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