Countly
Privacy-first product analytics and customer engagement platform
5.9k stars 983 forks last commit first released
Actively maintained
Last commit 26 Aug 2026.

Countly is a product analytics and customer engagement platform that captures, analyzes and acts on user behaviour across mobile, web and desktop applications. It combines data collection SDKs, a plugin-based server backend, dashboards and engagement tools with a privacy-first design.
Key Features
- Broad SDK coverage for mobile, web and desktop platforms and a write API to ingest events from any source
- Product analytics: sessions, views, events, funnels, retention, cohorts and custom dashboards for time-series and segmentation
- Engagement & experimentation: push notifications, in-app messages, Journeys (workflow automation), surveys, A/B testing and smart variables
- Crash and error reporting for multiple runtimes (mobile, desktop, Node.js, Unity, etc.) with crash aggregation and diagnostics
- Remote configuration/feature flags to update app behavior without redeploys
- Data governance: data management tools, consent/compliance hub and user/application/permission management
- Extensible plugin architecture and read/write APIs for integration and custom processing
- Deployment tooling: official Docker images, installer scripts and guidance for Linux-based deployments
- AI-assisted analytics and agent features for automated report/dashboard generation and recommendations
Use Cases
- Product teams tracking user journeys, funnels and retention across mobile and web to prioritize feature work
- Marketing and growth teams running targeted campaigns and push notification journeys to improve engagement and retention
- Engineering teams monitoring crashes, errors and release impact; using remote config and A/B tests to validate changes
Limitations and Considerations
- Advanced plugins, extended features and enterprise-grade support are offered in commercial editions; some capabilities may be limited or gated compared to Enterprise/Flex offerings
- Production scale deployments rely heavily on MongoDB and Linux tuning; large-scale ingestion and long-term retention may require architecture planning and operational expertise
Countly provides a complete, privacy-oriented analytics stack suitable for teams that need self-hosted control or a managed option, combining collection SDKs, analytics, engagement and extensibility in one platform.
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