Best Self Hosted Alternatives to Chartbrew

Redash is an analytics and business intelligence application for exploring data with SQL/NoSQL queries, turning results into visualizations, and sharing dashboards across a team. It is designed for browser-based collaboration so both technical and non-technical users can access and act on trusted, refreshable reports.

Key Features

• Browser-based query editor with schema browsing and autocomplete
• Visualizations and drag-and-drop dashboards built from query results
• Sharing and collaboration on queries and dashboards, including public links
• Scheduled query execution and automatic dashboard refresh
• Alerting on query results when conditions are met
• REST API for automating and integrating reporting workflows
• Broad, extensible support for many SQL and NoSQL data sources

Use Cases

• Self-hosted internal BI for SQL-driven reporting and team dashboards
• Centralized querying across multiple databases and analytics platforms
• Automated operational metrics with scheduled refreshes and alerts

Limitations and Considerations

• Primarily oriented around SQL/NoSQL querying and dashboards rather than full semantic modeling typical of some enterprise BI suites

Redash is a strong fit for teams that want a lightweight, web-based way to query many data sources, publish dashboards, and standardize reporting. Its alerting, scheduling, and API features make it useful for both interactive analysis and automated data-driven workflows.

Evidence is an open-source, code-based alternative to drag-and-drop BI tools for building interactive data products. It generates a web app from Markdown pages that run embedded SQL queries and render charts and UI components.

Key Features

• Build reports and dashboards from Markdown with embedded SQL queries
• Component-based, interactive visualizations rendered from query results
• Templated pages plus loops and conditional logic for reusable reporting
• Developer-friendly workflow designed for version control and code review
• Supports connecting to common analytical databases and warehouses

Use Cases

• Internal BI reporting portals with a narrative format (metrics plus commentary)
• Customer-facing analytics and embedded reporting in product documentation sites
• Rapid exploratory analysis shared as reproducible, versioned reports

Evidence is well-suited for teams that prefer writing SQL and keeping analytics artifacts in Git. It provides a straightforward path from queries to polished, shareable data experiences without relying on a drag-and-drop editor.

Cially is an open-source analytics dashboard for Discord servers that combines a bot, an API, and a full-stack web application to surface real-time insights and historical statistics about server activity. It captures events, stores structured records, and resolves IDs to human-readable entities to present engagement and growth metrics.

Key Features

• Real-time collection of Discord events via a dedicated bot and internal API
• Message analytics, activity insights, and growth/engagement metrics for servers
• Full-stack Next.js web dashboard with user search, UI customization, and reports
• Pocketbase-backed storage providing a lightweight embedded database and auth
• ID resolution between bot and web app so names and latest states are always accurate
• Docker-friendly deployment and configuration for self-hosted environments
• Privacy-first defaults: message content is not stored unless explicitly enabled

Use Cases

• Community managers tracking message activity, peak times, and member engagement
• Moderators auditing joins/leaves and activity trends to inform moderation policies
• Server owners measuring growth and the impact of events, campaigns, or changes

Limitations and Considerations

• License restricts commercial use (Attribution-NonCommercial-NoDerivs 2.0), which may limit some deployments
• Designed for small-to-medium servers; very large servers may require tuning or more robust storage/retention strategies

Cially is suitable for teams and communities that need transparent, privacy-conscious analytics for Discord. It focuses on actionable metrics and simplifies deployment for self-hosting while prioritizing control over collected data.

Edalitics (EDA) is an open-source, metadata-driven analytics and dashboard platform designed to make data exploration and visualization accessible to non-technical users while providing advanced features for analysts. It pairs a TypeScript/Node.js backend with an Angular frontend and stores metadata and configuration in MongoDB.

Key Features

• No-code dashboard and report creation with a responsive, modern UI
• Advanced SQL query mode for power users to build custom queries
• Tree-mode data model explorer to navigate logical data models
• KPI definitions and automated e-mail alerts for monitoring
• Public dashboards shareable via URL for read-only access
• Row Level Security (RLS) to restrict data access per user or role
• Metadata and configuration stored in MongoDB
• Official Docker image and deploy templates (Helm/docker) for quick deployment

Use Cases

• Business intelligence and executive dashboards for product, sales, or operations teams
• Self-service reporting for non-technical stakeholders with an option for SQL-based custom reports
• KPI monitoring and automated alerting for operational or business metrics

Limitations and Considerations

• Licensed under AGPL-3.0, which may impose obligations for commercial redistribution or embedding in proprietary systems
• Metadata storage relies on MongoDB; organizations that prefer relational metadata stores may need adaptation
• Connector and integration coverage may be narrower than mature commercial BI platforms; advanced integrations can require additional configuration or development

Edalitics provides a lightweight, metadata-first approach to building dashboards and reports with a balance of no-code tooling and SQL power features. It is suited for teams that want fast self-service analytics with built-in KPI alerting and access controls.