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
Open Web Analytics
Analytics
Self-host your own Google Analytics alternative with heatmaps, session recordings, and full data ownership — no cloud required.
Plausible Analytics
Analytics
Open-source, cookie-free web analytics that respects visitor privacy and replaces Google Analytics.
Rill
Analytics · Data Engineering
The fastest BI tool for humans and agents — define metrics, models, and dashboards as code and query them instantly on ClickHouse or DuckDB.
Arroyo
Analytics · Data Engineering
A distributed stream processing engine written in Rust that lets you write SQL to run stateful, real-time computations over data streams with subsecond results.
Rybbit
Analytics
Open-source, privacy-friendly web and product analytics with cookieless tracking, session replays, funnels, and real-time dashboards — a self-hostable alternative to Google Analytics.
Swetrix
Analytics
Privacy-first, cookieless web analytics with error tracking, session replays, and performance monitoring — self-host or use Cloud.
Timeplus Proton
Analytics · Data Engineering
Single C++ binary SQL engine for real-time stream processing, ETL, and analytics on Kafka, Redpanda, and ClickHouse with sub-millisecond latency.
World Monitor
Analytics · Monitoring
Real-time global intelligence dashboard that fuses AI-synthesized news, geopolitical risk scoring, and infrastructure tracking into one open-source situational awareness platform.
FinceptTerminal
Analytics · Invoicing Finance
Open-source Bloomberg alternative with AI agents and real-time market data
Tianji
Analytics · Monitoring
Replace Google Analytics, UptimeKuma, and Prometheus with one self-hosted platform that tracks websites, monitors uptime, and reports server health.
ChartBrew
Analytics · Databases
Open-source reporting platform to build live dashboards from SQL, NoSQL, APIs, and SaaS tools with an AI assistant that creates charts from natural language.
nao
AI Development · Analytics
Build and deploy an open-source analytics agent that understands your data warehouse and answers business questions in plain English.
Shadowbroker
Analytics · Monitoring · Security
Self-hosted OSINT dashboard that fuses 60+ live intelligence feeds — flight tracking, ship AIS, satellites, CCTV, seismic and radio networks — into one real-time map, with an agent-ready command channel for AI co-analysts.
Sink
Analytics · Bookmarks Archiving
Serverless link shortener with real-time analytics, powered by Cloudflare
OpenPanel
Analytics
Open-source Mixpanel alternative with session replay, MCP integration, and privacy-first product analytics you fully control.
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.