Best Self Hosted Alternatives to Amplitude Analytics

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.

PostHog is an open-source platform that helps teams understand product usage, ship safely, and improve reliability. It combines analytics, experimentation, replay, and data tooling in a single stack that can be self-hosted.

Key Features

• Event-based product analytics with dashboards, funnels, cohorts, and SQL querying
• Web analytics for traffic and performance-focused reporting
• Session replay to review real user sessions for debugging and UX insights
• Feature flags for controlled rollouts and targeting specific users or cohorts
• Experimentation and A/B testing with statistical impact measurement
• Error tracking with alerting to help identify and fix issues
• Surveys and feedback collection integrated into product workflows
• Data warehouse and lightweight CDP features to combine product events with external data

Use Cases

• Measure activation, retention, and conversion across product journeys
• Roll out new features gradually using flags and validate changes via experiments
• Diagnose bugs and UX issues by correlating errors with session replays

Limitations and Considerations

• Open-source “hobby” self-host deployments are commonly positioned for smaller event volumes and may require more operational work at scale

PostHog is well-suited for product engineers and data teams who want an integrated, self-hostable analytics and experimentation toolkit. It provides a unified view across product usage data and operational signals to support faster, safer product iteration.

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.

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.

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.

Tianji is an all-in-one insight hub that combines website analytics, uptime monitoring, and server status monitoring in a single self-hostable application. It is designed for lightweight observability needs for individuals and small teams, with an emphasis on privacy-friendly analytics and simple deployment.

Key Features

• Website analytics with page/visit statistics and UTM tracking
• Uptime monitoring with incident detection and notifications
• Server status monitoring, including Docker status insights
• Public status page capabilities
• Telemetry support to collect basic deployment/usage signals
• OpenAPI interface for integrations and automation
• Lightweight extras such as surveys and feeds
• Designed to be privacy-conscious (including no-cookie tracking options)

Use Cases

• Replace multiple small tools (analytics + uptime + status) with one dashboard
• Monitor service availability and share a public status page with users
• Track website traffic and campaigns without relying on hosted analytics

Limitations and Considerations

• Focuses on lightweight monitoring and analytics rather than deep enterprise-grade APM/observability

Tianji is a practical choice when you want a single, cohesive interface for basic web analytics and infrastructure/service health tracking. It is especially suitable for small deployments that value simplicity, integrations via API, and privacy-friendly analytics.

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.

Swetrix is an open-source, privacy-focused web analytics platform that collects anonymised, cookie-less metrics about website traffic, sessions, performance and client-side errors. It provides both a self-hostable Community Edition and a managed cloud offering with additional features.

Key Features

• Cookie-less, privacy-first tracking that collects anonymised pageviews, events and session data without cross-device identifiers
• Core analytics: top pages, traffic sources, UTM campaigns, geolocation and device/browser breakdowns
• Session analytics and user flows to visualise journeys and pageview sequences
• Funnels, goals and custom events for conversion tracking and behaviour analysis
• Real-user performance monitoring (TTFB, DNS, TLS, render and other frontend timing metrics)
• Client-side error tracking with aggregation by page, browser, device and geolocation
• Feature flags and rollout controls to target segments and measure feature impact
• Experiments / A/B testing (managed cloud) with exposure tracking and statistical comparisons
• Revenue analytics integrations (Stripe, Paddle) and CSV/API data export for portability
• Lightweight TypeScript tracking script and real-time React dashboard built for low overhead
• Deployable via Docker with a backend API, MySQL for core data, ClickHouse for analytics storage and Redis for caching

Use Cases

• Privacy-compliant website analytics for small businesses, blogs and SaaS sites that want to avoid cookie banners
• Monitoring frontend performance and client-side errors to detect regressions and improve page speed
• Running feature flags and A/B experiments (cloud) to optimize conversions and measure feature impact

Limitations and Considerations

• The Community Edition (self-hosted) provides core analytics, sessions, funnels, performance and error tracking but lacks some managed-cloud features (experiments, revenue analytics, AI insights, and built-in alert/email reports)
• GeoIP accuracy in self-hosted deployments depends on the chosen GeoIP database and may be less precise than the managed cloud's premium DB
• Scaling analytics requires appropriate ClickHouse and infrastructure configuration; self-hosters must manage upgrades, backups and operational costs

Swetrix bundles core web analytics, performance monitoring and error tracking in a privacy-first package suitable for self-hosting or using a managed cloud. It focuses on essential, low-footprint analytics while offering expanded features in its cloud offering.

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.