9 best open source analytics tools for developers and startups

This guide only includes analytics tools that:

1. Are open source in the full sense. The core product is published under an OSI-approved license (MIT, Apache-2.0, GPL, or AGPL) that lets you read, modify, and run the code for your own business. "Source-available" licenses that restrict production use don't count.

2. Have built-in analysis views. This includes end-to-end analytics tools and dashboard tools that connect to existing data sources, but not data pipeline platforms.

3. Are actively maintained. A release or merged pull requests within the last six months, and maintainers who respond to issues.

4. Are free to start. Either a free, self-hostable release or a hosted free tier. Self-hosting is covered for every tool that offers it, but it's an option here, not a requirement.

PostHog if you're building a product and want product and web analytics, AI observability, session replay, feature flags, experiments, error tracking, and more in one platform. Matomo if you want a like-for-like Google Analytics replacement. Plausible, Umami, or Rybbit if you want lightweight, cookieless web analytics. OpenPanel if you want simple product analytics without PostHog's depth. Metabase or Apache Superset if your data already lives in a warehouse. OpenReplay if session replay is the priority.

It means everything your product generates ends up in one queryable place. Events, sessions, replays, errors, LLM traces, flag states, and experiment results are stored together and share one model of users and sessions, and the built-in data warehouse adds business data synced from other sources alongside them.

The practical result is that a question like "did users who hit this error last week churn, and what were they paying us?" is one SQL query instead of three tools and a spreadsheet. The same applies to agents: anything you connect through the MCP gets the full picture of your product, not a slice of it.

It means PostHog digs through your product data, finds what's worth fixing, and has agents do the work.

It starts with context. A full suite of developer tools – AI Observability, Product Analytics, Session Replay, Feature Flags, Experiments, Error Tracking, Logs, and more – captures everything happening in your product, and a Context Warehouse unifies it into one source agents can read across.

From there, Scouts read across all of it and sort what's worth knowing from what's just noise. What clears the bar becomes a report in your inbox: an agent picks it up, roots out the cause, and opens a PR. You review and merge.

You can steer it from Slack, the web app, or your own editor via the MCP or CLI.

Several. The built-in product analytics is an alternative to tools such as Mixpanel, Amplitude, and Heap and it can replace Google Analytics for website and marketing analytics.

With session replay for both web and mobile apps, plus Heatmaps, PostHog can replace the likes of Hotjar and FullStory. It also includes feature flag and experimentation features like those found in LaunchDarkly or error tracking like Sentry.

If you're building with LLMs, AI observability covers what you'd otherwise get from Langfuse, LangSmith, Helicone, or Braintrust: traces, token costs, and evals, next to the product analytics and replays for the same users. See our comparison of AI observability tools.

And logs means it can stand in for Datadog, Splunk, or Grafana Loki for centralized log management, with logs linked to the session replay and error that produced them. See our comparison of log monitoring tools.

For every head-to-head and alternatives guide we've written, see all PostHog comparisons.

PostHog Open Source is a free Docker Compose deployment for hobbyists and proofs of concept. The code is MIT-licensed includes the core features of each product, but not the paid add-ons, such as group analytics, data pipelines, SSO, and RBAC. You can create one project per organization. Everything runs on one machine, so it will not scale past a few hundred thousand events without significant work. PostHog does not give support for it, and it is provided without guarantee.

We recommend a VPS with at least 4 vCPU, 16GB RAM, and 30GB+ storage (8GB RAM is the absolute floor). The open source deployment runs on a single machine, so it suits up to a few hundred thousand events per month. Above that, we recommend PostHog Cloud, because scaling self-hosted PostHog to higher volumes is complex.

Yes, and it's the one PostHog itself recommends for most teams. PostHog Cloud is hosted in the US or the EU, and every product has a free tier that resets monthly: 1 million events, 5,000 web and 2,500 mobile session recordings, 1 million feature flag requests, 100,000 exceptions, 100,000 LLM events, 1,500 survey responses, and a lot more.

Above the free tier, pricing is usage-based per product, and you can set a billing limit on each one so a traffic spike can't run up a surprise bill.

It's mainly pitched as an alternative to Google Analytics 4, especially for those looking for ironclad GDPR compliance. Matomo even offers a data import tool for Google Analytics, so you can bring your data with you.

Matomo on-premise includes all the core website analytics features, such as user and event tracking, e-commerce tracking, customizable dashboards, user segmentation, scheduled email reports, and alerts. Premium features are paid: heatmaps and session recording come with the Team bundle (from €275 per month), while A/B testing is only in the Enterprise bundle (from €3,400 per month). Matomo says individual plugins can still be bought separately.

The minimum requirements for 100,000 pageviews per month are: one server 2 CPU, 2 GB RAM, 50GB SSD disk. Matomo recommends separate app and database servers for anything over 1 million page views per month.

Yes. Matomo Cloud includes all features, charges by "hits per month", and comes with a 21-day free trial. The hosted version includes features, like A/B testing and heatmaps, that are paid extras for the on-premise release.

Metabase is a direct alternative to business intelligence tools like Google's Data Studio, Tableau, and Microsoft's Power BI. There are official connectors for all the most popular databases (Redshift, BigQuery, Snowflake, etc), and community and partner-managed connectors for the likes of ClickHouse and DuckDB.

The open-source version includes the same core query and visualization features as paid versions, but without advanced permission and security features tailored to large companies.

Metabase recommends two servers: one for the application and one for the database. It needs at least 1 core and 1GB of RAM with additional resources required depending on the number of concurrent users.

Yes. Metabase Cloud offers a free 14-day trial, then the Starter plan costs $100 per month for the first five users, plus $6 per month for each extra user.

It's a popular alternative to Google Analytics for people who want something fast and easy to use. Unlike Google Analytics, Plausible's lightweight tracking script has minimal impact on website performance.

The community edition covers most of what the paid versions do, including tracking all common website metrics, goal and conversion tracking, and reports in Slack or via email. Plausible holds back some premium features, though: marketing funnels, user journeys, ecommerce revenue goals, SSO, and the sites API aren't available when you self-host. Plausible publishes long-term community releases roughly twice a year (v3.1.0 in November 2025, v3.2.0 in January 2026, plus a security patch in May 2026), whereas the cloud version gets continuous updates.

Plausible recommends at least 2GB of RAM, and it requires a CPU that supports SSE 4.2 or NEON instruction set or higher.

Yes. There's no free tier, just a 30-day free trial, but it's cheap even at high volumes. Plans start at $9 per month for 10,000 pageviews or events on the Starter plan. Growth ($14 per month) adds extra sites and team members, and Business ($19 per month) adds funnels, user journeys, revenue tracking, and the Stats API. Prices scale with monthly pageviews from there.

OpenPanel could replace Mixpanel, Amplitude, and Google Analytics. It isn't as advanced as any of these tools, but it covers most of the essential features they offer. OpenPanel is focused on product analytics, but it also offers session replay. Unlike PostHog, it doesn't include feature flags or a way to run experiments, though it can break down results by experiment variant.

The open-source version is available with no limitations. Features include custom dashboards and charts (line, bar, area, map, pie, funnels, histograms, and retention), user profiles, a realtime analytics view, and tracking scripts for most popular frameworks, including Next.js, React, and React Native.

OpenPanel doesn't provide minimum requirements, but recommends hosting using Hetzner, and notes it'll work on any server where you have pre-installed Docker, Docker Compose, Node and pnpm.

Yes. There is no free tier, but 100k events a month cost just $20, and 1 million events are $90 per month.

Google Analytics mainly, but also any other tool focused mainly on website analytics, including closed-source alternatives like Fathom.

The open source product includes the same reports as the paid one. Umami tracks all common website metrics, supports custom events, and offers basic funnel, user journey, and retention analysis, plus session replay and heatmaps. Umami's documented data import and export tools are for Umami Cloud.

Umami requires a server with Node.js version 18.18 or newer and a PostgreSQL database (minimum v12.14). Umami v3 removed support for MySQL.

Yes and, unlike Plausible, there's a free tier. You can track up to 100k events per month on Umami Cloud for free. The Pro tier starts at just $20 per month for 1 million events per month.

Google Analytics for most sites, and Plausible or Umami if you want the same privacy stance with more analysis. It isn't a replacement for PostHog or Mixpanel if you need experiments, feature flags, or deep product analytics.

The self-hosted version includes the core analytics, funnels, goals, retention, user journeys, session replay, and error tracking. Web vitals are a cloud-only feature.

Rybbit recommends a server with at least 2GB of RAM, Docker and Docker Compose, and a domain pointed at the server. A setup script handles the rest.

Yes. There's no free tier, but there's a 7-day free trial. Paid plans start at $13 per month, and the Pro plan at $26 per month adds session replay.

Looker, Tableau and Power BI.

There's no paid version, so all features are included in the open source release, which includes 40+ pre-installed visualizations and vast options for data scientists to customize them to their needs.

While there is a Docker Compose deployment, it's not recommended for production use cases, which require deploying Superset on Kubernetes. Superset's FAQ indicates 8GB RAM and 2vCPUs is "adequate to run a moderately-sized instance".

Not directly, though third-parties offer managed instances.

OpenReplay is an alternative to LogRocket and other similar dev-focused session replay tools, like PostHog. It can also replace the likes of Hotjar, and includes a co-browsing feature that's similar to Hotjar's.

The free community edition includes OpenReplay's core features for session replay, app monitoring, and analytics, with no limits on users or projects but a cap of 50,000 sessions per month. The Enterprise edition removes the session cap and adds SSO, an audit trail, multi-tenancy, and dedicated support.

OpenReplay typically recommends a minimum of 2 vCPUs, 8 GB of RAM, 50 GB of storage, though this varies depending on the hosting provider.

Yes. OpenReplay restructured its pricing in 2026: alongside the free self-hosted edition there's a usage-based Serverless plan where you pay for the sessions you record, a Dedicated plan from $199 per month, and an Enterprise plan.

Based on our research, the best open source analytics tools you can self-host right now are:

1. PostHog – Best all-in-one platform for developers and startups: product and web analytics, session replay, feature flags, experiments, error tracking, and AI observability, with all the data in one place
2. Matomo – Best open source alternative to Google Analytics for website and marketing analytics
3. Metabase – Best open source BI tool for teams with data already in a warehouse
4. Plausible – Best lightweight, privacy-first web analytics tool
5. OpenPanel – Best simple product analytics for developers who want more than Plausible
6. Umami – Best privacy-first web analytics alternative to Plausible
7. Rybbit – Best lightweight analytics tool with session replay and error tracking included
8. Apache Superset – Best for advanced data teams who need complex visualizations
9. OpenReplay – Best open source session replay tool for developers

Open source analytics tools let you self-host on your own infrastructure, giving you full control over where your data lives. This is useful for GDPR compliance, data sovereignty, or cost management at scale.

Cloud analytics tools are managed by the vendor – easier to set up and maintain, but your data lives on their servers. Most tools in this list also offer a cloud-hosted option if you'd rather not manage infrastructure yourself.

For cloud product analytics tools, see our guide to the best product analytics tools for startups.

You can, but for most teams PostHog Cloud is the better choice – even if open source and data control are important to you.

Here's why:

• Automatic updates: PostHog Cloud gets continuous updates and new features as soon as they ship. When self-hosting, you'll need to manage these updates yourself or you'll always be running slightly behind.
• Generous free tier: PostHog Cloud includes 1 million events, 5,000 web and 2,500 mobile recordings, 1 million feature flag requests every month, and a lot more at no cost. Around 97% of PostHog users pay nothing. It's hard to beat free with zero infrastructure overhead.
• Scaling complexity: PostHog only recommends self-hosting for deployments up to ~300k events per month. Beyond that, managing the infrastructure yourself becomes a real engineering burden.
• Easy to get started: You can be up and running in minutes with no servers to provision. The PostHog setup wizard detects your framework, installs the right SDK, and configures everything automatically – no manual setup required.

The main reason to self-host is strict data residency requirements that can't be met by PostHog's EU Cloud option. If that's your situation, the open source release is a solid starting point. For everyone else, cloud is the faster, easier, and usually cheaper path.

Plausible and Umami are cookieless by default and collect no personal data, making them the simplest path to GDPR compliance. Matomo is widely used by government and enterprise organizations specifically for its GDPR compliance features, including data anonymization and consent management.

PostHog offers cookieless tracking and EU Cloud hosting if you want a managed option with EU data residency.

For a deeper breakdown, see our guide to the best GDPR-compliant analytics tools.

Yes, two ways. There's a self-hostable open source release under the MIT license, and PostHog Cloud gives every product a free tier that resets each month:

• Product and web analytics: 1 million events
• Session replay: 5,000 web and 2,500 mobile recordings
• Feature flags and experiments: 1 million flag requests
• Error tracking: 100,000 exceptions
• AI observability and evals: 100,000 LLM events
• Logs: 10 GB ingested
• Surveys: 1,500 responses
• Data warehouse: 1 million rows synced, with historical syncs free
• Data pipelines: 10,000 events and 1 million rows exported
• Workflows: 10,000 messages per channel
• PostHog AI: 500 credits

See PostHog's pricing page for full details.

For deeper product analytics beyond website traffic, PostHog is the strongest option. Matomo is the most direct open source alternative to Google Analytics – it even supports importing your existing GA data. Plausible and Umami are also good options if you want something simpler and privacy-first.

Most tools in this guide do one thing well. PostHog is built so that everything about your product ends up in one place you can query, and so that people and agents can act on it from there:

• All-in-one toolkit: Product analytics, web analytics, session replay, feature flags, experiments, surveys, error tracking, logs, and AI observability, sharing one model of your users and sessions
• One place for all your data: A built-in data warehouse syncs Stripe, HubSpot, Salesforce, Postgres, and dozens of other sources next to your product data, and you can query it all with SQL
• Built for agents as much as people: The MCP and Slack app let Claude, Cursor, Codex, or a Slack thread query your project and make changes, and self-driving features flag what's worth fixing
• Open source: MIT-licensed and actively maintained in public
• Free to start: Every product has a monthly free tier, and 97% of companies use PostHog for free