With over 37,000 GitHub stars and used by teams at Y Combinator, Airbus, and Phantom, PostHog replaces an entire stack of paid analytics tools — Mixpanel, Amplitude, Heap, LaunchDarkly, Hotjar, and Google Analytics — with a single open-source platform where every tool shares a common event layer and user context. Product analytics captures events automatically or via manual instrumentation with HogQL (SQL) access for custom queries, while web analytics provides GA-like dashboards for traffic, conversions, and Core Web Vitals. Session replay records user interactions with DOM snapshots and network waterfall analysis, linking directly to errors and feature flag exposures. Feature flags safely roll out changes to specific cohorts with multivariate support and instant rollback, while experiments run A/B tests with automatic Bayesian significance calculations and revenue attribution. Error tracking captures stack traces linked to session replays and user properties for immediate reproduction context. AI observability monitors LLM generations, traces, token usage, latency, and costs across model versions. The managed data warehouse syncs 120+ external sources including Stripe, Postgres, Salesforce, and HubSpot alongside product events, queryable through a unified SQL editor. An MCP server enables AI agents in Cursor, Claude Code, or VS Code to query analytics and execute SQL directly. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Google Analytics without the cookie banner or the maze of menus: Rybbit puts web and product analytics for every site you run on one readable dashboard, hosted on your own server. Pageviews, sessions, unique users, bounce rate, session duration, traffic sources, campaigns, devices, and countries update in real time beside a live visitor count. Session replay lets you watch the visits behind the numbers, and user profiles tie identified visitors to their sessions and events. Funnels pinpoint where conversions leak, journeys chart the paths people take through a site, retention reports show who comes back, and goals track conversions from page visits, custom events, and autocaptured clicks. Custom events carry JSON properties, filters slice every report across more than 15 dimensions, saved segments reapply them in one click, and location tracking drills from country to region to city on interactive maps, with optional 3D globe views through a Mapbox token. Error tracking connects JavaScript failures to the affected sessions, so a spike in errors leads straight to the visits that explain it. One install serves unlimited sites and organizations with role-based access, public dashboards share a site's stats through a link, and a tracking script of about 11 KB compressed collects data with no cookies and no consent banner. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Mixpanel, OneSignal, and Crashlytics in one self-hosted stack - Countly is an all-in-one product analytics and engagement platform where every byte of first-party data stays on your server. A Node.js application over MongoDB, it collects through ten battle-tested SDKs spanning iOS, Android, web JavaScript, React Native, Flutter, Unity, and desktop (plus a data write API for anything else), and has powered tens of thousands of mobile, web, and desktop apps since 2012. The analytics core covers sessions, custom events, views, user profiles, and real-time dashboards, with exploration tools built for product managers as much as analysts. What separates Countly from pure analytics tools is acting on the data without third parties: built-in push notifications send automated, transactional, and personalized messages to iOS (APNs), Android (Firebase), and Huawei devices, with the SDK handling token retrieval and permission flows automatically; crash reporting captures symbolicated native crashes on iOS and Android plus JavaScript errors, correlated with the same user and session data. Email reports keep stakeholders updated, and the plugin-based architecture means features load as modules. For GDPR-sensitive products, engagement without piping user data to advertising companies is the entire point. AGPL-licensed server, installable in minutes.

Known as the open-source Mixpanel alternative that respects user privacy, OpenPanel delivers a unified web and product analytics platform combining Mixpanel's behavioral analysis with the simplicity of Plausible and full data ownership through self-hosting. Cookieless tracking eliminates consent banners entirely while still capturing events, page views, sessions, user journeys, funnels, retention cohorts, and custom properties with full GDPR compliance by design. The 2.3 KB async script loads without blocking page rendering, and 16 official SDKs cover Next.js, React, Vue, Astro, Remix, Nuxt, Angular, Svelte, React Native, Swift, Kotlin, Python, PHP, Laravel, Express, and REST API for custom integrations. Real-time dashboards display live visitor counts, active sessions, and event streams as they happen. Custom chart builders create tailored visualizations from any tracked event with breakdowns by property, time period, and user segment. Session replay reconstructs individual user journeys showing every page visited, event triggered, and interaction recorded. Funnel analysis identifies conversion drop-offs with step-by-step breakdown and property filtering. Retention analysis measures how often users return with customizable time windows and cohort comparisons. A/B testing and variant tracking enable experiment measurement directly within the platform. Event notifications alert when specific events occur or thresholds are crossed. The self-hosted deployment uses Docker Compose with ClickHouse for high-speed analytical queries, PostgreSQL for metadata, and Redis for real-time processing — deployable on any VPS or Kubernetes cluster. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Web analytics tools ignore native mobile, desktop, and game apps; Aptabase was built for exactly those. If Firebase Analytics would force a privacy-policy footnote you don't want to write, this is the alternative - session-based metrics with no cookies, no IDFA or GAID, no device fingerprinting, and a daily-rotated salt that makes cross-day re-identification mathematically impossible. That design means GDPR, CCPA, and PECR compliance out of the box and "Data Not Collected" App Store privacy labels without ATT prompts. The SDK coverage is the widest in its category: eleven first-party libraries spanning Swift, Kotlin, Flutter, React Native, Tauri, Electron, .NET MAUI, NativeScript, Unity, Unreal Engine, and JavaScript for web - each MIT-licensed, following platform conventions, and accepting a custom host parameter that points at your instance. Integration is minutes: initialize with an app key, call trackEvent with optional properties, and the dashboard shows sessions, events, app versions, OS breakdowns, and country-level geography. The self-hosted stack is a .NET server over PostgreSQL for metadata and ClickHouse for high-volume event ingestion, giving cloud-parity features under an AGPL license. For indie iOS/Android apps, Electron and Tauri tools, and Unity or Unreal games, it replaces Firebase without the Google entanglement.

Several EU data protection authorities have ruled Google Analytics deployments unlawful; Matomo (formerly Piwik) is the most complete open-source replacement - a full analytics platform with 30+ report types across visitors, actions, referrers, goals, and ecommerce. The self-hosted PHP/MySQL edition is free and keeps every byte of visitor data on your infrastructure, which matters more each year: several EU data protection authorities have ruled Google Analytics deployments unlawful, while Matomo configured for cookieless tracking is approved by France's CNIL for use without a consent banner. All reporting runs on 100% unsampled data - no extrapolation at high traffic volumes. The GDPR Manager handles data subject requests and deletion, with IP anonymization, retention controls, and Do Not Track support built in. A dedicated importer pulls your historical Google Analytics data so years of trends survive the migration. Core analytics cover campaigns, custom variables and dimensions, entry/exit pages, downloads, site search, and full ecommerce tracking with a comprehensive HTTP API for reporting and ingestion. Premium plugins extend the platform into Hotjar-class behavioral tooling - click and scroll heatmaps, session recordings, conversion funnels, form analytics, A/B testing - plus a tag manager and SAML SSO. For teams that need GA-equivalent depth with actual data ownership, Matomo is the realistic drop-in replacement.

No cookies, no fingerprinting, no cross-site tracking, no personal data collection - Umami's privacy contract is the foundation of the open-source web analytics platform. IP addresses are hashed rather than stored, which makes it GDPR, CCPA, and PECR compliant by default - the consent banner can come off the site entirely. The tracking script is under 2 KB, roughly 20x smaller than Google Analytics, so measurement stops being a page-weight tax. The dashboard covers the core metrics - pageviews, visitors, bounce rate, visit duration, referrers, browsers, devices, and countries - with any date range and filtering by country or device. Beyond pageviews, custom events track clicks, form submissions, and signups via a data attribute or one JavaScript call, and advanced reports add funnels, user journeys, retention and cohort analysis, goals, and automatic UTM campaign tracking. Anonymous session views show individual visitor activity without identifying anyone. Teams share websites with role-based access, one instance manages unlimited sites, and a full REST API exposes every metric programmatically. MIT-licensed and self-hosted on PostgreSQL or MySQL via Docker, your analytics data never leaves your infrastructure.

Traffic analytics, real-user performance monitoring, and client-side error tracking - normally three tools - in one cookieless, privacy-first dashboard: Swetrix. The Community Edition ships the same core engine as the cloud product - a NestJS API with ClickHouse for high-volume event storage, MySQL for relational data, and Redis for caching, fronted by a React dashboard and a ~5 KB tracking script with official packages for 20+ frameworks including Next.js, WordPress, and Shopify. Traffic analytics cover pageviews, referrers, UTM campaigns, geolocation, sessions with page flows, funnels, and custom events - all anonymized server-side with no cookies, no cross-device tracking, and no consent banner required for GDPR compliance. Performance monitoring records real-user metrics per pageview: TTFB, DNS and TLS timing, and render times, so regressions surface in the same place as traffic. Error tracking captures unhandled JavaScript exceptions automatically with formatted stack traces, filename/line metadata, affected browsers and pages, first/last-seen timestamps, and a resolve workflow - replacing a separate error monitoring subscription for many teams. Alerts fire to email, Slack, Telegram, Discord, or webhooks on traffic spikes, new errors, and custom events. If Plausible covers your traffic questions but you also want to know why the site broke, Swetrix answers both.

Page views, referrers, browsers, and screen sizes - Ackee delivers the analytics developers actually check, from a deliberately minimal Node.js and MongoDB stack that skips both Matomo's weight and Google Analytics' cloud dependency. Its defining constraint is anonymization: no cookies, no unique user tracking, and a multi-step anonymization process that keeps visitors unidentifiable while the aggregate numbers stay useful. In its default anonymous mode Ackee collects no personally identifiable information at all, which means GDPR and CCPA compliance out of the box and no cookie consent banner on your sites. A detailed mode adds screen size, language, and per-visit referrers - still without cookies or fingerprinting. Integration mirrors the Google Analytics pattern: create a domain in settings, drop the generated ackee-tracker snippet into your pages, and data appears in a clean single-page dashboard. One instance tracks multiple domains, and custom events capture button clicks, signups, and conversions. The distinctive engineering choice is the fully documented GraphQL API: everything the dashboard shows comes from that API, so you can query active visitors, average duration, and view statistics programmatically, feed data in from apps and services beyond websites, or build an entirely custom interface on top. If you want bare-minimum analytics with a real API and zero privacy anxiety, this is the tool.

Used by over 3,000 organizations including Dropbox, Khan Academy, Sony, Pepsi, Wikipedia, and Mistral, GrowthBook is the open-source experimentation platform that handles over 100 billion feature flag evaluations daily across its cloud and self-hosted deployments. Feature flags support advanced targeting with user attributes, gradual percentage rollouts, prerequisite dependencies, and scheduled launches, with both client and server SDKs evaluating flags locally from a cached payload for sub-millisecond performance with zero network calls per check. The warehouse-native architecture queries experiment results directly from 11 data sources including BigQuery, Snowflake, Databricks, Redshift, ClickHouse, Mixpanel, and PostgreSQL, eliminating duplicate data pipelines. The statistics engine implements CUPED variance reduction, sequential testing, Bayesian analysis, post-stratification, multi-armed bandits, and sample ratio mismatch checks with fully open-source methodology. Product analytics provides dashboards with funnels, retention cohorts, and event-based tracking shareable across teams. Twenty-four SDKs cover React, Next.js, Node.js, Python, Go, Ruby, PHP, Java/Kotlin, Swift, C#/.NET, Rust, Elixir, Angular, and edge runtimes including Cloudflare Workers, Fastly Compute, and Lambda@Edge. The MCP server and REST API enable AI coding agents to create features, start experiments, and manage stale flags programmatically. Self-hosting deploys via Docker Compose with MongoDB, or via Helm charts on Kubernetes, with the same codebase powering both open-source and managed cloud offerings. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Backed by 12,400+ GitHub stars and positioned as the self-hosted alternative to FullStory and Hotjar, OpenReplay delivers the open-source session replay platform that keeps every byte of user behavior data on your own infrastructure. The JavaScript tracker captures pixel-perfect recordings of clicks, scrolls, form inputs, and navigation with automatic sensitive data masking, while simultaneously logging network requests, console errors, JavaScript exceptions, and Redux, VueX, MobX, NgRx, Pinia, and Zustand store state changes for complete technical context. DevTools mode reconstructs each session with full stack traces, GraphQL queries from Apollo and Relay, Fetch and Axios request payloads, CPU and memory metrics, and page speed waterfall charts — effectively giving developers a browser inspector tied to any user session. Product analytics surfaces conversion funnels, user journeys, click heatmaps, web vitals trends, and retention cohorts without requiring custom instrumentation. Co-browsing connects support agents to live user sessions with cursor control and WebRTC audio, enabling real-time assistance without third-party screen-sharing software. Integrations push session context into Sentry, Datadog, CloudWatch, Stackdriver, and Elastic for front-to-back debugging. Feature flags enable gradual rollouts with session-level targeting. The platform deploys to any cloud via Docker and Kubernetes with auto-scaling ingestion handling up to 50,000 sessions per month on the open-source edition. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

Founders do not need another chart of pageviews; they need to know which visit became money, and Talivia is a self-hosted, revenue-first analytics platform that fuses website traffic with payment data so every metric answers in dollars. Connect Stripe, LemonSqueezy, Polar, Dodo, or Yolfi, and the dashboard pairs visitor counts with revenue, conversion rate, revenue per visitor, refunds, and disputes, so a traffic spike that never buys anything stops masquerading as success. Referrers, campaigns, keywords, and countries are ranked by the money they produce, which reduces budget decisions to one question: which channel brought customers who actually paid? When a page underperforms, session replay shows what visitors actually did there and the moment they gave up, so you debug journeys instead of guessing from aggregates. Events and multi-step funnels trace the path from landing page to checkout, while bot traffic detection stops crawlers from inflating your conversion statistics. The live visitor feed shows who is browsing right now, with country, device, browser, acquisition source, events, and spend for each session as it unfolds. Public links publish any dashboard as a read-only page for investors or clients, and teammates join the workspace with their own accounts when they need to dig deeper. Visitors, replays, and payment records all stay in your own PostgreSQL database, so customer journeys never pass through a third-party analytics cloud. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

HitKeep is a sovereign web analytics platform that consolidates cookieless visitor telemetry, conversion funnels, e-commerce revenue reports, and AI engine visibility into a privacy-respecting dashboard that replaces Google Analytics and complex tracking clouds. Marketing teams can monitor inbound visitor journeys without installing intrusive consent banners or violating regional GDPR regulations. Custom conversion funnels and goal milestones track user registrations, checkout transactions, newsletter subscriptions, and software downloads with exact revenue attribution. Integrated Google Search Console synchronization brings organic search queries, keyword impression rankings, and click-through metrics directly alongside real-time pageview logs. A dedicated artificial intelligence visibility dashboard monitors crawling bots, retrieval citations, and direct referral visits originating from ChatGPT, Claude, Perplexity, and other generative search agents. Growth analysts can pose natural language questions to an embedded AI reporting assistant, generating instant cohort breakdowns and engagement trends without assembling complex manual filters. Site operators can configure custom tracking domains, whitelist reverse proxy networks, filter out referrer spam, and schedule automated database backups across persistent storage volumes. Complete data sovereignty controls allow teams to export raw event telemetry into open Parquet and CSV archives or stream metrics into external business intelligence warehouses via webhooks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Page views, funnels, session replays, error reports, Core Web Vitals, and uptime checks share one cookieless dashboard in Betterlytics, so teams stop stitching several tools together. The overview charts visitors, page views, bounce rate, and visit duration against the previous period, and annotations mark launches or campaigns right on the timeline. Breakdowns cover referrers, channels, UTM campaigns, browsers, devices, and operating systems, with visitor locations on a world map once an optional MaxMind key is added. Custom events, global properties such as plan or app version, and outbound link tracking show what visitors actually do, while user journey diagrams and funnels reveal where they drift away. Session replay is opt-in per tracking script, masks text and form inputs by default, and can keep recordings in your own S3-compatible bucket. Error tracking groups JavaScript errors with stack traces, a session trail, and a link to the matching replay. Uptime and SSL monitors alert through Slack, Discord, Teams, or webhooks and feed public status pages on your own domain. Teammates join by invitation, two-factor login is available, and a built-in MCP server lets Claude, Cursor, or Codex answer traffic questions. A script of about 3.5 KB or a WordPress plugin handles installation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

When you want honest traffic numbers without tracking cookies or stored IP addresses, Liwan puts a real-time analytics dashboard on your own server. The dashboard ranks pages, referrers, countries, browsers, platforms, and devices, charts visitors over time, and filters out bot traffic by default. Session metrics add bounce rate, average time on site, and entry and exit pages, while UTM fields attribute visits to campaigns. Collection is adjustable globally and per site: choose how visitors are grouped, whether to store country and city, country only, or no location, and how long events are kept. Drop rules discard internal, test, and local traffic before storage, and a pruning tool applies new settings to history after a dry-run preview. Tracking is one line of HTML, or your own server can send events with custom names and properties. Location can come from a MaxMind database or from Cloudflare, Vercel, and other proxy headers. One instance holds several projects and sites, with team accounts and single sign-on through Google Workspace, Microsoft Entra ID, or an OpenID Connect provider such as Keycloak or Dex. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Built as a direct rejection of the adtech model, Plausible is the best-known privacy-first web analytics tool - lightweight, cookie-free, and open-source. It sets no cookies and stores no personal data: unique visitors are counted via a hash of IP plus User-Agent that rotates every 24 hours and is never stored raw, so no consent banner is required and GDPR compliance is structural rather than contractual. The tracking script is under 1 KB - orders of magnitude lighter than GA - and the dashboard is a deliberate contrast to GA4's sprawl: one fast-loading page with visitors, sources, top pages, countries, devices, and UTM breakdowns, filterable by any dimension. Custom events and goals track signups and clicks, Google Search Console integration pulls in search queries, scheduled email reports keep stakeholders updated, and the Stats API (v2) plus CSV export feed data anywhere. This is the AGPL-licensed Community Edition, the same Elixir codebase that powers Plausible's cloud service, running as three containers: the web app, PostgreSQL for accounts, and ClickHouse for event storage - which means self-hosters get direct SQL access to raw analytics data the cloud version never exposes. Traffic data stays entirely on your server, with no visitor caps or per-pageview pricing.