Best Self Hosted Alternatives to Countly

Umami is a modern, privacy-focused analytics platform for tracking website and product usage. It provides a lightweight tracking script and a clean dashboard to understand traffic, engagement, and user journeys while prioritizing data minimization.

Key Features

• Website analytics dashboards for pageviews, sessions, referrers, devices, and geography
• Event tracking for product interactions and custom actions
• Audience segmentation and filtering for deeper analysis
• Cohort analysis and user journey-style insights to understand retention and flows
• Multi-website support with user accounts and access controls
• Supports deployment with PostgreSQL and containerized setups

Use Cases

• Privacy-friendly traffic analytics for marketing and content sites
• Product analytics for SaaS apps (events, funnels/journeys, cohorts)
• Internal analytics for organizations that want to keep data under their control

Umami is well-suited for teams that want straightforward analytics without invasive tracking, and it can replace common hosted analytics tools for many standard reporting needs.

Plausible Analytics is an open-source web analytics platform designed to provide useful website insights without cookies or personal data collection. It offers a fast, simple dashboard for traffic and conversion reporting while keeping visitor privacy as a core principle.

Key Features

• Lightweight tracking script and event-based measurement
• Cookie-free analytics with anonymized, aggregated reporting
• Real-time dashboard and key metrics on a single page
• Goal and conversion tracking (including custom events and dimensions)
• Campaign tracking (for example UTM parameters) and referrer/source reporting
• Team access, shared dashboards, and optional public stats pages
• API access for sending events and retrieving stats
• Integration options such as Google Search Console and Google Tag Manager template

Use Cases

• Privacy-focused analytics for websites that want to avoid cookie banners
• Monitoring marketing campaigns and conversions without user-level tracking
• Sharing simple, read-only analytics dashboards with clients or teammates

Limitations and Considerations

• The Community Edition has a slower release cadence than the managed cloud offering
• Some advanced features are reserved for paid/managed plans (for example SSO and certain premium analytics features)

Plausible Analytics is well-suited for individuals and organizations that want clear website metrics with minimal performance impact and strong privacy guarantees. It combines a modern UI with a straightforward data model that emphasizes actionable insights over invasive tracking.

Matomo is a web and app analytics platform designed to measure traffic, user behavior, and conversions while keeping analytics data under your control. It is widely used as a privacy-focused alternative to Google Analytics and can be extended through a plugin-based architecture.

Key Features

• Website and mobile app tracking via JavaScript tag (and SDK integrations)
• Real-time visitor analytics and customizable dashboards with drag-and-drop widgets
• Goals, campaigns, and e-commerce tracking for conversion measurement
• Segmentation and reporting features for deeper traffic and behavior analysis
• Privacy features to support privacy-by-design analytics and data control
• Extensible platform with plugins and an analytics API for integrations

Use Cases

• Privacy-conscious web analytics for businesses, public sector, and nonprofits
• Conversion and campaign performance tracking for marketing teams
• Product and content analytics dashboards for internal stakeholders

Limitations and Considerations

• On-premise deployments require a compatible PHP and database setup and ongoing maintenance
• High-traffic sites may require tuning and scaling of the database and application stack

Matomo provides a robust analytics suite for teams that need accurate measurement and strong data ownership controls. Its extensibility and reporting capabilities make it suitable for everything from small websites to large organizations with strict privacy requirements.

Rybbit is an open-source, privacy-friendly web and product analytics platform designed as a modern alternative to Google Analytics. It provides actionable insights without relying on cookies, helping teams understand user behavior while reducing privacy and compliance overhead.

Key Features

• Cookieless tracking designed to be privacy friendly
• Core web analytics metrics (sessions, unique users, pageviews, bounce rate, session duration)
• Real-time dashboard with live activity
• Funnels, goals, user journeys, and retention analysis
• Custom events with JSON properties
• Advanced filtering across multiple dimensions
• Location analytics with country/region/city and map visualizations
• Session details and session replays for behavioral analysis
• User profiles and organization support (multi-site)
• Public dashboards and built-in bot detection

Use Cases

• Privacy-friendly analytics for websites and SaaS products without cookie banners
• Conversion and product analysis using funnels, goals, journeys, and retention
• UX and troubleshooting workflows using session replays and session timelines

Limitations and Considerations

• Some features (such as Web Vitals) may be limited to paid/hosted tiers depending on deployment and plan

Rybbit fits teams that want a simpler, more intuitive analytics experience than traditional enterprise tools while maintaining strong privacy defaults. It can be used for both small sites and multi-site organizations needing real-time, event-based insights.

Countly Community Edition is a privacy-first analytics and customer engagement platform used to collect, analyze, and act on first-party data from mobile, web, desktop, and connected devices. It provides a modular server and dashboard designed for teams that want data ownership and flexible deployment.

Key Features

• Event, session, and view tracking with interactive dashboards and reporting
• Crash and error analytics for multiple platforms via Countly SDKs
• Engagement tools including push notifications, in-app ratings, and surveys/feedback
• Remote configuration to change app behavior and messaging without redeploying
• Alerts, scheduled email reports, and integrations via webhooks and APIs
• Data management tools to plan events/segmentations and improve data quality
• Privacy and compliance capabilities such as consent collection and data subject request handling
• Plugin-based architecture for extending and customizing the server and UI

Use Cases

• Product analytics for mobile and web apps with privacy and data ownership requirements
• Monitoring app stability and diagnosing crashes across supported client platforms
• Running targeted engagement campaigns (push, in-app prompts) driven by user behavior

Limitations and Considerations

• Some advanced capabilities and features are reserved for commercial Countly editions
• Operational requirements depend on the chosen deployment and data volume (database sizing, retention, and scaling planning)

Countly Community Edition fits teams looking for an extensible analytics stack that combines measurement and engagement in one platform. Its API-first and plugin-based design makes it suitable for integrating with existing systems while maintaining control over collected data.

Ackee is a self-hosted website analytics platform designed for privacy-conscious site owners. It provides essential traffic insights in a minimal interface while keeping tracked data anonymized and avoiding invasive user identification.

Key Features

• Privacy-oriented analytics with anonymized data collection
• Cookie-less tracking approach designed to avoid unique user tracking
• Event tracking for interactions such as clicks and sign-ups
• Central GraphQL API used by the UI and available for custom integrations
• Lightweight architecture based on Node.js and MongoDB
• Minimal, focused dashboard for website traffic statistics

Use Cases

• Replace third-party analytics for small to medium websites with privacy-friendly metrics
• Track key site interactions (events) without running a full marketing analytics suite
• Use the GraphQL API to build custom dashboards, reports, or internal analytics tooling

Ackee is a good fit when you want straightforward website analytics and event tracking with strong privacy characteristics and a clean interface, while retaining full control over where analytics data is stored and processed.

Open Web Analytics (OWA) is a self-hosted web analytics platform designed as an alternative to services like Google Analytics. It lets you collect and analyze website and application usage data while keeping ownership and control of your analytics data.

Key Features

• First-party JavaScript tracking client for websites
• Track visitors, pageviews, e-commerce transactions, and custom actions
• Manage and track multiple websites from a single OWA server instance
• Reporting dashboard with customizable reports
• Heatmaps for understanding on-page engagement
• “Domstream” session recordings for replay-style analysis
• Visitor geolocation reporting
• REST API for administration and analytics data access
• Multi-user reporting interface
• Extensible module system for adding custom functionality

Use Cases

• Privacy-conscious analytics for business and personal websites
• Product and content optimization using dashboards, heatmaps, and session recordings
• Centralized analytics for agencies or teams managing multiple sites

OWA is a mature, extensible analytics suite for teams that want detailed website insights without sending data to third-party analytics providers. It combines classic traffic reporting with behavioral tools like heatmaps and session recordings in one deployable package.

Litlyx is a privacy-first web and product analytics platform designed to collect actionable usage insights without cookies or consent banners. It provides a modern dashboard for traffic and event analytics, and can be deployed as a fully self-hosted stack.

Key Features

• Cookie-free, privacy-focused analytics designed for GDPR-friendly deployments
• Automatic tracking of page views and key visitor metrics (e.g., unique and real-time users)
• Custom event tracking with optional metadata for richer product analytics
• Funnels and conversions built from tracked events
• AI-powered dashboard features for exploring and summarizing analytics
• Multiple integration options, including script tag and JavaScript/TypeScript package
• Shareable reporting for teams or clients

Use Cases

• Replace Google Analytics-style tracking for privacy-sensitive websites
• Track product usage with custom events and conversion funnels
• Provide client-friendly analytics reports from a self-managed dashboard

Limitations and Considerations

• Advanced analysis depends on consistent event naming and metadata design
• AI-driven insights may require additional configuration and may not fit all compliance policies

Litlyx fits teams that want straightforward web analytics with custom events and modern reporting while minimizing cookie and consent complexity. It is a strong choice for organizations needing a self-managed, privacy-oriented alternative to common analytics SaaS tools.

Aptabase is an open-source analytics platform for mobile, desktop, and web applications, designed as a privacy-first alternative to services like Firebase Analytics. It focuses on collecting minimal, anonymous usage data without cookies, fingerprinting, or long-term user identification.

Key Features

• Privacy-first tracking with anonymous, untraceable sessions and no device identifiers
• No cookies or fingerprinting, supporting privacy-friendly app analytics
• Built-in dashboard for essential metrics and actionable insights
• Broad SDK support across popular platforms (including mobile, desktop, and web)
• Data ownership and export, with options for different data residency or self-hosting

Use Cases

• Product and feature usage analytics for mobile apps without collecting personal data
• Lightweight analytics for desktop apps (for example Electron or Tauri-based apps)
• Privacy-friendly analytics for web apps where cookie-based tracking is undesirable

Limitations and Considerations

• Focused on simple, privacy-preserving app analytics rather than user-level tracking, which may limit deep user attribution and long-term cohort analysis

Aptabase is a strong fit for teams that want straightforward app analytics while minimizing legal and privacy risks. Its open-source codebase and broad SDK ecosystem make it practical to adopt across multiple app platforms.

Offen is an open-source, self-hosted analytics platform that prioritizes user privacy and consent. It enables operators to collect analytics only from users who opt in and ensures end-to-end encryption so data remains private. Users can access and manage their own data, supporting GDPR-friendly operation.

Key Features

• End-to-end encryption of usage data across the stack, ensuring privacy by design.
• Self-hosted, GDPR-compliant architecture with no ads or third parties involved.
• Opt-in only data collection; users must actively consent to tracking.
• Supports analyzing multiple websites within one installation; accounts can be shared within teams.
• Data is stored for a limited period (e.g., previously seven months in typical setups) and then deleted to minimize exposure.
• Localize Offen for multiple languages and customize the consent banner to fit branding.
• Test drive and deployment guidance are available for quick evaluation.

Use Cases

• Privacy-friendly website analytics where users opt in and can review their own data.
• GDPR-compliant, self-hosted analytics without transferring data to third parties.
• Organizations managing analytics for multiple sites with team access control.

Limitations and Considerations

• As of mid-2024, Offen reached a maturity stage and was described as not actively developed but maintained; users should verify current maintenance status and roadmap in the repository.

Conclusion Offen provides a privacy-first, opt-in web analytics option that runs on-premises, giving users control over data and reducing reliance on third-party services. It is suitable for teams seeking GDPR-friendly analytics with strong data protection guarantees.

StreamyStats is a statistics and analytics service for Jellyfin that collects playback and library data to provide dashboards and visualizations. It also optionally adds AI-powered chat and recommendations by embedding library items and using semantic search.

Key Features

• Overview dashboard with key metrics, live sessions, and recommendations
• User-specific watch history, viewing statistics, and filtering
• Library and client statistics, including watch-time graphs
• Multi-server and multi-user support
• Imports existing data from Jellystat and Jellyfin Playback Reporting plugin
• Optional AI chat with function calling tools for semantic library search, stats queries, and personalized recommendations
• Optional embedding pipeline using OpenAI-compatible APIs for vector similarity recommendations

Use Cases

• Monitor Jellyfin usage trends across users, clients, and libraries
• Discover what content is most watched and how watch time changes over time
• Provide personalized watch recommendations and semantic search for large media libraries

Limitations and Considerations

• AI features require enabling and configuring an OpenAI-compatible provider and embeddings storage
• Project is maintained as a hobby project, so stability and release cadence may vary

StreamyStats is a strong fit for Jellyfin administrators who want deeper usage insights than the built-in UI provides, with the option to layer on semantic search and recommendation features. It can run in Docker for a straightforward deployment and scales primarily with library size and collected playback history.

Cially is an open-source analytics dashboard for Discord servers that combines a bot, an API, and a full-stack web application to surface real-time insights and historical statistics about server activity. It captures events, stores structured records, and resolves IDs to human-readable entities to present engagement and growth metrics.

Key Features

• Real-time collection of Discord events via a dedicated bot and internal API
• Message analytics, activity insights, and growth/engagement metrics for servers
• Full-stack Next.js web dashboard with user search, UI customization, and reports
• Pocketbase-backed storage providing a lightweight embedded database and auth
• ID resolution between bot and web app so names and latest states are always accurate
• Docker-friendly deployment and configuration for self-hosted environments
• Privacy-first defaults: message content is not stored unless explicitly enabled

Use Cases

• Community managers tracking message activity, peak times, and member engagement
• Moderators auditing joins/leaves and activity trends to inform moderation policies
• Server owners measuring growth and the impact of events, campaigns, or changes

Limitations and Considerations

• License restricts commercial use (Attribution-NonCommercial-NoDerivs 2.0), which may limit some deployments
• Designed for small-to-medium servers; very large servers may require tuning or more robust storage/retention strategies

Cially is suitable for teams and communities that need transparent, privacy-conscious analytics for Discord. It focuses on actionable metrics and simplifies deployment for self-hosting while prioritizing control over collected data.

Prisme Analytics is an open-source, privacy-focused web analytics platform designed for self-hosting or managed deployment. It captures anonymized pageviews and custom events with a tiny tracking footprint and exposes real-time metrics through a Grafana-driven interface.

Key Features

• Privacy-first, cookie-less tracking that collects only anonymized data and filters bots and scrapers
• Extremely lightweight tracking: ~2 KB JavaScript tracker and a 35-byte transparent pixel for no-JS tracking
• High-performance ingestion optimized for ClickHouse, capable of tens of thousands of requests per second on appropriate hardware
• Grafana-based dashboards for user/team management, permissions, multi-organization support, and custom visualizations
• Support for SPA pushState routing and UTM campaign tracking; custom events and flexible metric definitions
• Deployable via containers and common DevOps workflows; codebase includes a Go ingestion/backend and a TypeScript frontend

Use Cases

• Real-time website analytics for privacy-conscious sites and organizations
• Campaign and UTM tracking to measure traffic sources and conversion funnels without third-party trackers
• Self-hosted analytics for teams needing full data ownership and long-term retention

Limitations and Considerations

• Requires external components such as ClickHouse for storage and Grafana for dashboards, which add operational complexity
• Product-analytics features (user segmentation, retention, user paths) are noted as in-progress or planned and may be limited compared to dedicated product-analytics tools

Prisme is a pragmatic alternative to large third-party analytics providers for teams that need high ingestion performance, fine-grained control, and strong privacy guarantees. It is suitable for organizations willing to operate ClickHouse and Grafana or use the project’s managed offering.

ANALOG is a minimal analytics tool designed to run on your own infrastructure. It provides a self-hosted analytics dashboard with an API to ingest and retrieve events, and supports multiple storage backends.

Key Features

• Self-hosted analytics dashboard and API for events
• Pluggable storage backends: Redis, PostgreSQL, MongoDB, SQLite
• Deployment options via Docker, Netlify, or Vercel configurations
• Environment-based configuration for providers and optional request protection
• Open-source MIT licensed, with a small, focused footprint
• Includes a short demo video in the repository

Use Cases

• Privacy-conscious teams that want to host analytics on their own infrastructure
• Lightweight analytics for internal apps and prototypes
• Self-hosted analytics as an alternative to cloud-based solutions for small projects

Limitations and Considerations

• Scheduling/cron-like tasks may be unreliable in some hosting environments due to runtime limitations

Conclusion ANALOG provides a compact, self-hosted analytics stack with a web UI and API, adaptable to multiple storage backends and deployment options. It is suitable for small teams and projects seeking control over their analytics data.

Counter.dev (self-hosted) is the community distribution of the Counter.dev web analytics platform packaged for on-premise use. It provides the same UI and integration experience as the hosted service but runs as a single Go binary that serves an embedded JavaScript frontend and stores data in Redis.

Key Features

• Single standalone Go binary (cntr) containing static assets for easy deployment and upgrades
• Redis used as the primary datastore for metrics and state
• Command-line management tools for creating users, changing passwords, and serving the app (examples: createuser, chgpwd, serve)
• Embedded JavaScript-based UI for viewing site metrics and configuring tracking integrations
• Implements the core feature set of the hosted Counter.dev offering for lightweight site analytics

Use Cases

• Add simple, privacy-conscious analytics to small websites or landing pages without third-party services
• Internal site usage tracking and lightweight traffic dashboards for intranets or internal tools
• Local testing and development of tracking integrations before moving to a hosted analytics solution

Limitations and Considerations

• The self-hosted distribution is marked as beta; some hosted features are not yet implemented (archiving functionality is currently missing)
• Requires a running Redis instance and basic operational knowledge to manage the service and backup data
• Feature parity with the hosted product may be incomplete; expect ongoing changes as the self-hosted edition matures

Counter.dev self-hosted is a pragmatic option for teams who need an embeddable, Redis-backed analytics frontend with minimal infrastructure. It favors simplicity and a compact deployment model while continuing to evolve toward parity with the hosted offering.