Open Source Humblytics Alternatives
A curated collection of the 3 best open source alternatives to Humblytics.
The best open source alternative to Humblytics is Plausible. If that doesn't suit you, we've compiled a ranked list of other open source Humblytics alternatives to help you find a suitable replacement. Other interesting open source alternatives to Humblytics are: Matomo and GrowthBook.
Humblytics alternatives are mainly Web & Product Analytics but may also be Application Security. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Humblytics.
Privacy first web analytics that measures traffic without cookies or personal data, for site owners leaving Google Analytics behind.

Plausible counts visits without counting people. It stores no personal data and no IP addresses, and it sets no cookies or persistent identifiers, which keeps it compliant with GDPR, CCPA and PECR and removes the consent banner that a conventional analytics script drags along with it.
Everything lands on a single page rather than a tree of menus and custom reports, and the tracking script is small enough not to slow a site down. The backend is Elixir and Phoenix, general data sits in PostgreSQL and analytics data in ClickHouse, with a React and Tailwind frontend.
What arrives beyond the visitor count is worth listing.
- Goals and funnels: track conversions, revenue attribution and funnels through custom events and dimensions, with codeless tracking for outbound clicks, downloads, form completions and 404 pages.
- Modern routing: single page apps work out of the box, including pushState and hash based routing.
- Reports and sharing: weekly or monthly email or Slack reports, traffic spike and drop alerts, role based team access, and dashboards shared publicly or by link.
- Search insights: the Google Search Console integration brings keyword data into the same dashboard.
- Data out: an events API sends data in, while a stats API and CSV export take it back out.
Self-hosting means Plausible Community Edition, a free long term release published twice a year. It omits the premium funnels, ecommerce revenue goals, SSO and sites API, and its bot filtering is basic rather than advanced. In exchange you get the raw ClickHouse data and full control over where the server sits.
Self-hosted web analytics platform, a free software alternative to Google Analytics where the data stays in your own database.

Matomo is a web analytics platform that you download and install on your own webserver. The install takes about five minutes and ends by handing you a JavaScript tag to paste onto the sites you want to track, after which reports arrive in real time.
It is a PHP and MySQL application, independent of operating system and server. Because it runs on your infrastructure, the data sits in a database you control and comes back out through the analytics API, and the software can be configured to respect the privacy of the people it measures.
Requirements and the shape of the platform are worth checking before installing.
- PHP: version 8.1.0 or greater, with the pdo and pdo_mysql extensions, or MySQLi instead.
- Database: MySQL 8.0 or greater, or MariaDB 10.6 or greater.
- Plugin architecture: features are built as plugins, so you add the ones you want and remove the ones you do not.
- Dashboard: fully customizable, with widgets moved around by drag and drop.
- Tracking capabilities: ecommerce tracking, goals, campaigns and custom variables among the advanced options.
Quality assurance runs on thousands of unit tests plus integration, system, JavaScript and screenshot tests on a continuous integration server, and a bug bounty programme covers security reports. Free support comes from the community forums, and paid on-premise plans exist for teams that need them. More than 1,400,000 websites already run it.
Feature flags, experimentation and product analytics on your own data warehouse, for teams that will not build the platform themselves.

The top one percent of companies spend thousands of hours building experimentation, feature flagging and analytics in house. GrowthBook exists so the other 99 percent get the same platform without paying for expensive third party SaaS or hacking together unmaintained libraries.
It is warehouse native, querying eleven data sources including BigQuery, Snowflake and Databricks rather than keeping its own copy of your events. Metrics are defined in SQL, from simple conversion rates to ratios and quantiles, and 24 SDKs cover React, Python, Kotlin, Swift and more.
The platform pairs the rollout side with the measurement side.
- Targeted flags: support advanced targeting, gradual rollouts and experiments from a single definition.
- Stats engine: runs CUPED, sequential and Bayesian analysis, post-stratification, bandits and SRM checks.
- Analytics suite: builds dashboards from warehouse data and shares them with the team.
- Documentation in place: attaches screenshots, custom meta fields and Markdown throughout the app.
- Webhooks and REST API: drive integrations and custom workflows.
- MCP server: creates features, starts experiments and cleans up stale flags from an agent.
GrowthBook is open core, most of the code under the permissive MIT license with several directories governed by a separate commercial enterprise license. Self-hosting is a clone and a docker compose up, using the prebuilt public image that needs no registry credentials, with the app waiting on port 3000.