Analytics

Superset74.9k★

Superset is a full business intelligence platform you can self-host for free, with interactive dashboards, charts, and reports without writing code. Think Tableau or Looker, but open source. Connect it to Postgres, MySQL, ClickHouse, BigQuery, or dozens of other databases, then build interactive dashboards with drag-and-drop. Fully free under Apache 2.0. No feature gating, no user limits, no enterprise unlock. You get the complete BI platform: SQL editor, chart builder, dashboard designer, role-based access, and scheduling. At, this is one of the most popular open source projects period. The catch: Superset is resource-hungry and complex to operate. The Docker Compose setup works for testing, but production deployment requires Redis, a metadata database, Celery workers for async queries, and careful memory tuning. Expect 4-8GB RAM minimum. And the learning curve is real. Building useful dashboards takes time, and the UI can feel overwhelming. If you just need a few charts, Metabase is much simpler to get running.

Metabase49.3k★

Metabase is the tool that made self-serve analytics real for small teams. Point it at Postgres, MySQL, BigQuery, Redshift, or any of twenty-plus databases and people who do not write SQL can build charts, dashboards, and scheduled reports by clicking. SQL mode sits right there for when the visual builder runs out. AGPL-3.0, and the self-hosted build is complete for internal use. Deployment is a Docker container or a JAR, and it runs on a small VPS until query volume says otherwise. Where it strains is complexity: Metabase generates SQL underneath, and the generated query is not always the one you would have written. Caching helps, and caching controls are a paid feature, which is the first place the free tier starts to pinch. The paywall is drawn around embedding, SSO, and row-level permissions. Internal dashboards for your own staff stay free indefinitely. Showing dashboards to your customers, or enforcing which rows each viewer sees, means Pro. Cloud Starter is $100/mo with five users included, Pro is $575/mo with ten, and Enterprise starts at $20,000/year. The catch is the AGPL. Modify Metabase and serve it to anyone outside your company and you owe them your changes. That is the entire reason the commercial license exists, and it is worth checking before your team starts patching the source.

PostHog39.9k★

PostHog bundles product analytics, session replay, feature flags, experiments, surveys, error tracking and LLM observability into one platform. The free cloud tier is real: 1M analytics events, 5K session recordings, 1M flag requests, 1,500 survey responses and 100K error exceptions a month. Self-hosting is effectively over. PostHog's own docs call self-hosted deployments officially unsupported, new Kubernetes deployments are no longer supported, and the hobby Docker Compose path is recommended only under 300K events a month. Their free cloud tier is 1M. They are telling you the free hosted plan handles more than the copy you run yourself. Cloud is the product now. Events past the free million start at $0.00005 each and drop steeply with volume. Recordings past 5K run $0.005. Free gives one project and a year of retention, and adding a card gets six projects and seven years. SSO and advanced RBAC sit behind platform add-ons starting around $250 a month. Solo and small teams live in the free tier a long time. Medium teams pay usage and still beat Mixpanel or Amplitude. The catch used to be that doing everything means nothing is best-in-class. Still true. The bigger one now is that the open source escape hatch is decorative. If self-hosting is the actual requirement, look at Plausible (plausible/analytics), Umami (umami-software/umami) or Matomo (matomo-org/matomo), and Unleash (Unleash/unleash) for flags.

Umami38.9k★

Umami is a privacy-focused analytics tool that gives you pageviews, referrers, device info, and custom events without cookies or personal data collection. GDPR compliant by design. Umami is the anti-Google Analytics. One script tag, no cookie banner needed, no personal data stored. The dashboard is clean and fast. It tracks what matters (pageviews, sessions, bounce rate, referrers, UTM parameters, custom events) without the bloat of GA4's 47 report types you'll never use. Self-host for free or use Umami Cloud starting at $0 (10k events/mo) up to $49/mo (1M events/mo). Solo developers and small teams: self-host on any $5 VPS with Docker. Takes 10 minutes. You get everything the paid tier offers. Medium teams might prefer Umami Cloud to skip ops. If you're tracking more than 1M events/mo, it's $49/mo or self-host. The catch: no conversion funnels, no A/B testing, no advanced segmentation. If you need marketing analytics depth, Umami is too simple. It's analytics for developers who want to know "is anyone using this," not for marketing teams optimizing campaigns.

Plausible29.1k★

Plausible is a cookie-free analytics dashboard that fits on one screen: pageviews, visitors, bounce rate, referrers, top pages, countries, devices. The script is under 1KB, so visitors never see a consent banner. AGPL v3, Elixir, and the self-hosted Community Edition costs nothing to run. Community Edition is no longer the same product as Plausible Cloud. Funnels, user journeys, ecommerce revenue goals, SSO, the Sites API, and data center bot filtering are all Cloud only, and CE ships as a long-term release twice a year instead of continuous updates. Running it means Docker plus Postgres plus ClickHouse, and ClickHouse wants real memory. Cloud starts at $9/mo for Starter (one site, 10k monthly pageviews), $14/mo for Growth (3 sites, 3 seats), and $19/mo for Business (10 sites, funnels, revenue attribution), climbing with traffic inside each plan. Solo and small teams should just pay. Medium and large should self-host only if the CE feature set is actually enough. The catch: self-hosting buys you the dashboard, not the feature set. If funnels or SSO are why you wanted Plausible, you are paying either way. umami-software/umami is lighter with nothing held back, and PostHog/posthog answers the user-level questions Plausible will never touch.

dataease24.5k★

DataEase is a drag-and-drop BI platform that connects to 20+ data sources and turns them into dashboards without writing SQL. The community edition is free and fully self-hostable. The team at Fit2Cloud also built JumpServer and KubeSphere, so this is an established product, not a hobby project. Docker deployment is a one-liner and you are up in minutes. The backend is Java, so plan for 2 cores and 4GB+ RAM. Updates are smooth, but the plugin architecture means third-party plugins can fall behind main releases. The premium X-Pack layer adds SSO, data masking, and audit logging for teams that need compliance controls. Small teams can run this free indefinitely. If your analytics needs are internal reporting and dashboards, you probably never hit the paywall. The X-Pack tier becomes relevant at enterprise scale where auth and audit requirements kick in. Superset and Metabase cover similar ground but require more SQL comfort. The catch: documentation is primarily Chinese-language. Community support skews Asia-Pacific, so finding help in English takes more digging.

Matomo21.9k★

You self-host it, you own the data, your visitors' browsing habits stay on your servers. GDPR compliance without the headache of cookie consent banners (in most configurations). GPL v3, used by over a million websites including government agencies and universities. It tracks page views, sessions, referrers, goals, e-commerce conversions, basically everything Google Analytics does. Self-hosting is free with no feature limits. Their cloud-hosted version starts at $23/mo for 50K hits. On-premise premium plugins (like A/B testing, funnels, custom reports) cost $229/year per plugin or $629/year for the bundle. The catch: Matomo's self-hosted interface feels dated compared to modern analytics tools like Plausible or PostHog. It's powerful but overwhelming: hundreds of reports, dense UI, lots of configuration. And the PHP/MySQL stack means you need traditional web hosting, not just a static server. For teams that just want pageviews and referrers, Plausible or Umami are simpler.

jitsu5.1k★

Jitsu is an open-source event collection and data pipeline tool. It captures events from your web and mobile apps and streams them directly to your data warehouse or analytics tools. Segment-style routing, warehouse-first design. MIT-licensed. Self-hosted via Docker. Simpler to operate than RudderStack for teams with fewer destination needs. The warehouse connector is the strong suit: Snowflake, BigQuery, ClickHouse, Redshift. SDK support covers JavaScript, Python, and mobile. Teams that want to capture web events and land them cleanly in a warehouse without paying Segment's per-MTU pricing get immediate value here. Less useful if you need 200+ marketing-tool destinations. The catch: Jitsu is leaner than RudderStack or Segment, which means fewer pre-built connectors. If your use case is warehouse-only, that is fine. If you need Salesforce, HubSpot, or ad platform integrations, the connector library gets thin fast.

rudder-server4.5k★

RudderStack is a Customer Data Platform that collects events from your web, mobile, and server sources and routes them to 200+ destinations: data warehouses, analytics tools, CRMs, and advertising platforms. The open-source alternative to Segment. Apache-licensed, free to self-host. Setup requires Docker Compose and a Postgres database. The data plane handles event ingestion at scale. You manage infrastructure; RudderStack handles routing logic. A control plane UI is available separately for destination configuration. Engineering teams that track user events and pipe them to Snowflake, BigQuery, or Amplitude without the Segment bill get a real cost save here. The routing logic is comparable to Segment. Self-hosted means you control data residency. The catch: the self-hosted control plane is less polished than the cloud version. Destination support can lag Segment. And high event volumes require serious infrastructure to match Segment's managed reliability.

niubigeo3.7k★

NiubiGEO checks whether AI models know your product exists. It runs the questions your customers would actually ask through OpenRouter, OpenAI, Claude, Gemini, Perplexity, and DeepSeek, records whether you get mentioned, notes which competitors show up instead, and traces the citations behind each answer. Search rankings used to be the whole game. Now a lot of buying research never touches a results page. Setup is Docker compose or Node 22 and up, a clone, and an env file with at least one provider key. It queries with web search and grounding turned on where the provider supports it, so you pay that provider's per-call rate. A broad prompt set across six providers adds up faster than people expect. Apache 2.0, self-hosted, no license fee. Marketing people and founders at small companies are the fit. Larger teams already pay for a commercial visibility tracker, and this gets most of the same signal for the price of the API calls. The catch is that model answers are non-deterministic and shift with every model update. One run is a snapshot, not a measurement. Trustworthy output means the same prompt set on a schedule over weeks. The tool gives you the harness for that, not the discipline.

ossinsight2.5k★

OSSInsight crunches over 10 billion GitHub events to show you what's actually happening in open source. Star velocity, contributor growth, PR merge rates, issue response times, head-to-head repo comparisons. The hosted version at ossinsight.io is free and requires no account. GitHub's built-in Insights tab looks like a toy next to this. The platform is powered by TiDB (PingCAP's distributed database), which is the quiet part out loud: this project exists partly as a TiDB showcase. That said, the analytics are genuinely useful. Curated collections track trends across AI frameworks, databases, LLM tools, and more. The Data Explorer lets you write custom SQL against the full GitHub event archive. Developers evaluating which project to adopt get real data instead of vibes. Open source maintainers track their project's health metrics. Anyone doing market research on developer tools gets a free analytics platform that would cost thousands to build from BigQuery. The catch: public GitHub data only, no private repos. Self-hosting requires TiDB plus terabytes of ingested archive data, which is realistic only for organizations with dedicated infrastructure teams. And since PingCAP built this as marketing, long-term independent maintenance is an open question.

talivia2.4k★

Talivia ties your web analytics to your actual revenue. It's a self-hosted, open source "revenue-first" analytics platform for founders that combines the usual web analytics and session replay with revenue attribution pulled straight from payment processors like Stripe, LemonSqueezy, and Polar. Instead of two dashboards that never talk, you see which traffic actually turned into money. It's a Next.js and Postgres app. The pitch is the join most tools skip: connecting behavior to dollars in one place. It goes after PostHog, Plausible, and Matomo on the analytics side, and the "datafast" style revenue-analytics products directly. Solo founders and small teams self-host it for free. The paid path is Talivia Cloud, which adds the managed hosting plus richer integrations like Search Console, GitHub activity, and social mentions. The catch is freshness. This is very new, the public history is thin, so maturity and long-term maintenance are real questions before you build reporting on it. It's also open-core: the most useful integrations sit behind the Cloud tier, so "free self-hosted" gets you the base, not the full picture. Promising, but pilot it before you trust it.