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
Dub
Analytics · Marketing
The open-source link attribution platform for short links, conversion tracking, and affiliate programs — powering 100M+ clicks monthly.
Temps
Analytics · Devops · Monitoring
A self-hosted Rust PaaS that replaces Vercel, Sentry, PostHog, Pingdom, Resend, and E2B with one binary — plus 440+ CLI operations agents like Claude Code can drive directly.
InfluxDB
Analytics · Databases
Open-source time-series database built for real-time ingest, fast SQL queries, and embedded Python automation — powered by Apache Arrow and Parquet.
OpenBB
Analytics · Databases · Invoicing Finance
The AI Workspace for Finance: Connect Data, Run AI Agents, Build Analytics
shaper
Analytics · Data Engineering
Build analytics dashboards, reports, and customer-facing analytics by writing pure SQL — powered by DuckDB and designed for self-hosted deployment.
OpenStock
Analytics
Free, open-source stock market tracker with real-time data, watchlists, price alerts, and AI-powered market summaries.
highlight.io
Analytics · Developer Tools · Monitoring
Open-source full-stack monitoring that unifies session replay, error tracking, logging, and distributed tracing so you can stop context-switching between tools.
timesfm
AI Development · Analytics
A pretrained decoder-only foundation model by Google Research that delivers zero-shot time series forecasting with calibrated quantile prediction intervals — no training required.
Marble
Analytics · Security
The open-source, self-hostable fraud detection and AML compliance engine that gives fintechs full control over their detection rules, data, and investigations.
Helicone
AI Development · Analytics · Monitoring
An open-source AI gateway and LLM observability platform that routes requests to 100+ models while logging cost, latency, and full traces for every call.
Kutt
Analytics · Marketing
Self-hosted URL shortener with custom domains, per-link analytics, and zero build step required.
DataLens
Analytics
Open-source business intelligence platform with drag-and-drop dashboards, multi-source SQL connectors, and Kubernetes-ready deployment built by Yandex.
Enso
Analytics · Data Engineering · Low Code Platforms
A visual and textual programming platform for data prep and analysis where the node graph and the underlying Enso code are always perfectly in sync, built by an Alteryx co-founder on a GraalVM engine.
Operational
Analytics · Automation · Monitoring
Open-source event tracker with real-time push notifications and action buttons for tech founders.
ktx
AI Development · Analytics · Data Engineering
ktx builds a self-improving context layer over your data warehouse so AI agents like Claude Code and Codex query it with approved metric definitions instead of reinventing SQL logic from scratch.
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.
