Open Source Analytics Apps
Discover open source analytics software that collects, visualizes, and interprets data. Boost decision‑making with dashboards, and predictive insights.
Apps in Analytics
Language
License
Kibana
Analytics · Monitoring
Your open source window into the Elastic Stack — query, visualize, and act on data stored in Elasticsearch with real-time dashboards, AI-assisted search, and automated alerting.
Countly
Analytics · Marketing
Privacy-first, self-hosted analytics and customer engagement platform with full data ownership, GDPR compliance, and AI-powered insights across mobile, web, desktop, and IoT.
CrateDB
Analytics · Databases
Distributed SQL database for real-time analytics at scale
ClickHouse
Analytics · Data Engineering · Databases
Open-source column-oriented database that delivers real-time analytical queries on petabyte-scale data with millisecond latency.
Grafana
Analytics · Monitoring
The open-source observability platform that unifies metrics, logs, and traces from any data source into dynamic, queryable dashboards.
matomo
Analytics
Open-source, privacy-first web and app analytics that puts you in complete control of your data.
Metabase
Analytics
The open-source BI platform that lets anyone ask questions and build dashboards without writing SQL — with an embedded analytics SDK and AI-powered query assistant included.
Sentry
Analytics · Developer Tools · Monitoring
Developer-first error tracking and performance monitoring platform with AI-powered root-cause analysis across 20+ languages and frameworks.
Umami
Analytics
Privacy-first web analytics that respects your users — self-hosted, cookieless, and GDPR compliant out of the box.
DataEase
AI Assistants · Analytics · Data Engineering
Open-source BI tool with drag-and-drop dashboards, 20+ data source connectors, and AI-powered natural language queries — a self-hosted alternative to Tableau.
Formbricks
Analytics · Design Tools · Forms Surveys
Open-source experience management platform for in-app, website, email, and link surveys — privacy-first and fully self-hostable.
Lightdash
Analytics · Data Engineering
The open-source Looker alternative that turns your dbt project's metrics and dimensions into governed, self-serve charts and dashboards — no license key required.
OpenMetadata
AI Development · Analytics · Data Engineering
Open-source metadata platform that unifies data catalog, lineage, quality, and governance into a single searchable graph, with an MCP server that gives AI agents governed access to that context.
Bagisto
Analytics · Ecommerce
Open-source Laravel eCommerce platform for building multi-vendor marketplaces, B2B stores, headless commerce, and AI-powered storefronts.
GrowthBook
Ab Testing Experimentation · Analytics · Developer Tools
Open source feature flags, A/B testing, and warehouse-native experimentation that queries your existing data infrastructure—no data movement required.
About Analytics
Analytics software empowers businesses and developers to transform raw data into actionable insights. This category includes business intelligence dashboards, real‑time monitoring tools, data visualization libraries, event tracking platforms, and predictive analytics engines. Popular examples range from open‑source charting frameworks like Chart.js to full‑stack solutions such as Tableau, Google Analytics, and Apache Superset.
Typical use cases cover performance monitoring (e.g., server metrics or app usage), sales & marketing analysis (conversion funnels, cohort tracking), product telemetry (feature adoption, error rates), and advanced forecasting (sales predictions, churn modeling). By aggregating data from APIs, databases, logs, or third‑party services, analytics apps help teams identify trends, spot anomalies, and make data‑driven decisions faster.
For developers, integrating analytics means adding value without reinventing the wheel—whether embedding a custom dashboard, exporting metrics to a time‑series database, or leveraging machine‑learning models for predictive insights. End users benefit from clear visual reports, automated alerts, and deeper understanding of their own behavior, ultimately leading to improved performance, higher ROI, and smarter product strategies.
