OSI-licensed open source

Best Open-Source Analytics Tools (2026)

Open-source analytics tools let you analyse business data, website traffic and product usage on infrastructure you control. They fall into three groups: BI and dashboards for SQL data, web and product analytics for user behaviour, and analytical databases or observability stacks that power both.

This guide picks eight maintained projects with licences verified on their repositories on 2026-11-07. Pay attention to licence detail: Metabase is AGPL with a commercial enterprise directory, PostHog is MIT with an enterprise folder, and Plausible and Grafana are AGPL, which affects embedding and redistribution.

Tools, licences and pricing checked against vendor and repository pages on November 7, 2026.

What to look for

  • •Use case: BI on SQL data, web analytics, product analytics or time series
  • •Self-hosting requirements: databases, queues and memory footprint
  • •Privacy: cookieless tracking, data ownership and GDPR posture
  • •Licence and which features sit behind a commercial licence
  • •Data-source support and query flexibility
  • •Cloud option if you do not want to operate it

At a glance

ToolBest forPricingLicence
Apache SupersetSelf-service BI and dashboards on SQL dataFree, open source (self-hosted)Apache-2.0
MetabaseNon-technical teams exploring SQL dataFree, open source (self-hosted, AGPL); paid cloud and Pro/Enterprise plans, see vendor pricingAGPL-3.0
MatomoWebsite analytics with full data ownershipFree, open source (self-hosted); paid Matomo Cloud, see vendor pricingGPL-3.0
PostHogProduct analytics with funnels, replays and feature flagsFree, open source (self-hosted); usage-based cloud, see vendor pricingMIT
Plausible AnalyticsSimple privacy-friendly website analyticsFree, open source (self-hosted community edition); managed cloud paid, see vendor pricingAGPL-3.0
UmamiPrivacy-friendly analytics with an MIT licenceFree, open source (self-hosted); cloud plans available, see vendor pricingMIT
ClickHouseHigh-volume analytical queries and event dataFree, open source (self-hosted); ClickHouse Cloud paid, see vendor pricingApache-2.0
GrafanaOperational and time-series dashboardsFree, open source (self-hosted); Grafana Cloud Free, Pro from $19/month plus usage, Enterprise from $25,000/year commitAGPL-3.0

1. Apache Superset

Apache-2.0

Best for: Self-service BI and dashboards on SQL data · Free, open source (self-hosted)

Apache Superset is a modern, enterprise-ready business intelligence web application. Users explore data, build charts and create dashboards, and connect to a wide range of databases.

Strengths

  • + Apache-2.0 licence
  • + Wide database support
  • + Rich charting and dashboards

Trade-offs

  • − Takes operational effort to deploy and scale

2. Metabase

AGPL-3.0

Best for: Non-technical teams exploring SQL data · Free, open source (self-hosted, AGPL); paid cloud and Pro/Enterprise plans, see vendor pricing

Metabase is the easy, open-source way for everyone in a company to ask questions and learn from data. A hosted Metabase Cloud is available alongside the self-hosted edition.

Strengths

  • + Very approachable question builder
  • + Quick to deploy
  • + Cloud option

Trade-offs

  • − Enterprise directory is under a commercial licence
  • − AGPL obligations

3. Matomo

GPL-3.0

Best for: Website analytics with full data ownership · Free, open source (self-hosted); paid Matomo Cloud, see vendor pricing

Matomo is a leading free and open analytics platform, a PHP and MySQL application you install on your own server and track sites with a JavaScript snippet. It was formerly known as Piwik.

Strengths

  • + Full data ownership
  • + Google Analytics style feature set
  • + Self-host or cloud

Trade-offs

  • − Needs PHP and MySQL hosting
  • − Interface heavier than newer tools

4. PostHog

MIT

Best for: Product analytics with funnels, replays and feature flags · Free, open source (self-hosted); usage-based cloud, see vendor pricing

PostHog ingests and stores analytics, errors, session replays and business data so teams can query and act on product usage. The repository is MIT licensed apart from an enterprise directory.

Strengths

  • + Broad product analytics toolkit
  • + Self-host or cloud
  • + MIT licence for most code

Trade-offs

  • − Enterprise directory has a separate licence
  • − Self-hosting is heavier than single-purpose tools

5. Plausible Analytics

AGPL-3.0

Best for: Simple privacy-friendly website analytics · Free, open source (self-hosted community edition); managed cloud paid, see vendor pricing

Plausible is an open-source, privacy-first web analytics tool that is a lightweight, cookie-free alternative to Google Analytics, available as managed cloud or a self-hosted community edition.

Strengths

  • + Lightweight and cookie-free
  • + Clean one-page dashboard
  • + Cloud or self-hosted

Trade-offs

  • − Intentionally limited feature depth
  • − AGPL obligations

6. Umami

MIT

Best for: Privacy-friendly analytics with an MIT licence · Free, open source (self-hosted); cloud plans available, see vendor pricing

Umami is a privacy-first analytics platform covering traffic, campaigns, behaviour, conversions and revenue with no cookies, self-hosted or in the cloud.

Strengths

  • + MIT licence
  • + Simple to self-host
  • + Cookie-free tracking

Trade-offs

  • − Less depth than full product analytics suites

7. ClickHouse

Apache-2.0

Best for: High-volume analytical queries and event data · Free, open source (self-hosted); ClickHouse Cloud paid, see vendor pricing

ClickHouse is an open-source column-oriented database management system for generating analytical reports in real time. ClickHouse Cloud is offered by its maintainers as a managed service.

Strengths

  • + Very fast analytical queries
  • + Apache-2.0 licence
  • + Cloud option

Trade-offs

  • − A database, not a finished BI front end

8. Grafana

AGPL-3.0

Best for: Operational and time-series dashboards · Free, open source (self-hosted); Grafana Cloud Free, Pro from $19/month plus usage, Enterprise from $25,000/year commit

Grafana is an open-source platform to query, visualise and alert on metrics wherever they are stored, widely used for time-series and operational analytics.

Strengths

  • + Many data sources
  • + Strong alerting
  • + Free self-hosted option

Trade-offs

  • − Not aimed at ad hoc business questions
  • − AGPL obligations

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How to choose

If you need…Start with
Self-service BI for SQL dataMetabase, Apache Superset
Replace Google AnalyticsMatomo, Plausible Analytics, Umami
Product analytics, funnels and replaysPostHog
Large event or log dataClickHouse
Operational and time-series dashboardsGrafana

Best Open-Source Analytics Tools: FAQ

Quick answers to common questions

What are the best open-source analytics tools?

Superset and Metabase for BI, Matomo, Plausible and Umami for web analytics, PostHog for product analytics, ClickHouse for storage and Grafana for time series.

Which is best for Google Analytics replacement?

Matomo has the broadest feature set, while Plausible and Umami are lighter and cookie-free.

Are Metabase and PostHog fully open source?

Most of each repository is open source (AGPL for Metabase, MIT for PostHog), but each has an enterprise directory under a separate commercial licence.

Can I self-host all of these?

Yes. Each is self-hostable, though ClickHouse, PostHog and Superset need more infrastructure than Umami or Plausible.

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