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The best open-source analytics tools in 2026

Abbas Aga
Abbas Aga · 1 min read

TL;DR:
The best open-source analytics tools in 2026 are Open Analytics (AGPL), Umami (MIT), Matomo (GPL), Plausible (AGPL) and Fathom Lite (MIT). All can be self-hosted. Open Analytics leads for depth (revenue attribution, funnels and an AI-queryable dataset) while Umami is the lightest, Matomo the deepest, and Plausible the simplest.

Open-source analytics means you can read the code, audit what it collects, and run it on your own infrastructure, no vendor holding your data, no surprise about what leaves the browser. The five below are the credible options in 2026. They differ on licence, how heavy they are to run, and how far they go past a pageview.

The five open-source tools

  1. 01

    Open Analytics

    That's us

    Open source under AGPL, self-hostable, and the deepest of the lightweight options: revenue, funnels, journeys, MCP.

    Price: From $9/mo for 50,000 events (a pageview or anything you tag), 3-day free trial.

    Strengths

    • Revenue attributed back to the visit and source that earned it
    • Built-in MCP server: ask your analytics in plain English
    • Realtime journeys, funnels and Core Web Vitals in one script
    • Open source (AGPL) and self-hostable

    Trade-offs

    • Newer than Plausible or Fathom
    • Meters events, so tagged conversions count
    • No free plan, only the trial
  2. 02

    Umami

    The lightest self-host: a single Node app and a PostgreSQL database.

    Price: Free self-hosted; Cloud from free to $20/mo.

    Strengths

    • MIT-licensed
    • Very light to run
    • Clean, familiar dashboard

    Trade-offs

    • No revenue attribution
    • Limited importers
    • Shallower than Matomo
  3. 03

    Matomo

    The deepest open-source option, closest to Google Analytics in breadth.

    Strengths

    • The most complete feature set
    • GPL-licensed, huge community
    • Full per-visitor detail

    Trade-offs

    • Heaviest to run and maintain
    • Some features are paid plugins
    • More complexity than most want
  4. 04

    Plausible

    The simplest open-source dashboard, self-hostable or EU-hosted.

    Price: Free self-hosted; Cloud from $9/mo.

    Strengths

    • AGPL-licensed
    • Simplest to read
    • EU-owned hosted option

    Trade-offs

    • Meters pageviews
    • No revenue attribution
    • No per-visitor journey
  5. 05

    Fathom Lite

    The open-source version of Fathom, usable, but frozen.

    Strengths

    • MIT-licensed and self-hostable
    • Simple and fast

    Trade-offs

    • Feature-frozen since around 2020
    • The active product is the closed-source hosted one

Prices were checked against each product's own pricing page on 2026-08-07 and change often. Read the current plan, and the meter it counts, before you commit.

Open Analytics is the events-metered, revenue-aware option with an AI-queryable dataset. Try it free for three days.

Start free trial

Frequently asked questions

What is the best open-source analytics tool?
Open Analytics for depth you can still self-host easily, revenue attribution, funnels, journeys and an AI-queryable dataset under AGPL. Umami is the lightest to run, Matomo the most complete, and Plausible the simplest. Fathom Lite is open source but has been feature-frozen since around 2020.
Is open-source analytics free?
If you self-host it, yes: Open Analytics, Umami, Matomo, Plausible and Fathom Lite are all free to run on your own server. The cost is the server and its upkeep. Each also offers (or is offered as) a paid hosted plan if you would rather not maintain infrastructure.
What licence does each tool use?
Open Analytics and Plausible are AGPL, Umami and Fathom Lite are MIT, and Matomo is GPL. AGPL requires that network-served modifications be shared back; MIT is the most permissive. If you plan to modify and redistribute, the licence matters, check it against your intended use.

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