Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Tableau in analytics & bi platforms workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.

These projects match the most common migration paths for teams replacing Tableau.
Why teams pick it
Control your scheduling stack on your own infrastructure.
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Tableau.
Why teams pick it
Self-hosted SQL reporting platform with drag-and-drop visualizations

Enterprise‑grade, web‑based data exploration and visualization platform
Why teams choose it
Watch for
Self‑hosting requires operational overhead and maintenance
Migration highlight
Self‑service analytics for marketing
Marketers create campaign performance dashboards without writing code.

Explore SQL data, build charts, and monitor alerts

Collaborative notebooks and dashboards powered by Python, SQL, AI.

Drag-and-drop multidimensional BI platform for fast data insights
Why teams choose it

Code‑first BI platform turning SQL and markdown into interactive dashboards

Self‑serve analytics built on your dbt models

Ask questions, explore data, and build dashboards without SQL

Self-hosted SQL reporting platform with drag-and-drop visualizations

Engineers' toolkit for building, testing, and deploying data models

Conversational AI that turns natural language into SQL and charts

Self-hosted visual analytics for PostgreSQL business performance

Turn any data source into shareable visual insights
Teams replacing Tableau in analytics & bi platforms workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Tableau.
Why teams choose it
Watch for
Limited to Ruby/Rails ecosystem
Migration highlight
Daily sales monitoring
Automated queries run every hour, charting sales trends and emailing alerts when revenue drops below threshold.
Why teams choose it
Watch for
Requires Docker, adding infrastructure overhead
Migration highlight
Monthly sales performance dashboard
Automated data pulls, Python‑driven calculations, and interactive filters keep leadership updated without manual reporting.
Watch for
Enterprise‑only features like advanced cross‑tables and GIS maps
Migration highlight
Sales performance dashboard
Interactive sales metrics visualized across regions, with real-time updates from the corporate data warehouse.
Why teams choose it
Watch for
Requires developer familiarity with SQL and markdown
Migration highlight
Monthly sales performance report
Generate a templated site that updates automatically each month with SQL‑driven charts and narrative markdown.
Why teams choose it
Watch for
Initial setup requires a dbt workflow
Migration highlight
Business users explore metrics without SQL
Analysts define metrics in dbt; non‑technical staff generate dashboards and answer questions instantly.
Why teams choose it
Watch for
Self‑hosting requires infrastructure management
Migration highlight
Customer support dashboard
Monitor ticket volume and response times in real time to improve service levels.
Why teams choose it
Watch for
Requires Java runtime knowledge for advanced configuration
Migration highlight
Ad‑hoc sales analysis
Business analysts write custom SQL to slice sales data, apply filters, and export CSV instantly.
Why teams choose it
Watch for
Dashboard and report features still in development
Migration highlight
Transform raw event logs into clean analytics tables
Engineers split complex ETL logic into modular SQL models, versioned and tested automatically.
Why teams choose it
Watch for
Result quality depends heavily on the chosen LLM
Migration highlight
Ad‑hoc data exploration
Business users ask natural‑language questions and receive SQL, charts, and AI summaries within seconds.
Why teams choose it
Watch for
Early beta – no security audit
Migration highlight
E‑commerce sales tracking
Visualize revenue trends and user acquisition by country
Why teams choose it
Watch for
User interface can feel dated compared to modern SaaS BI tools
Migration highlight
Ad‑hoc SQL reporting
Team members run queries across warehouses and instantly share charts via URLs.