analytics

Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.

⭐ 24,730 stars on GitHub · 🍴 1,392 forks · 📜 License: agpl-3.0 · 💻 Language: Elixir

What is analytics?

Privacy-friendly analytics only works if it is simple enough that teams actually use it. Plausible Analytics stands out by giving you the core traffic, conversion, and campaign metrics most websites need without cookies, consent-banner drama, or Google Analytics complexity.

Main components

• Single-page analytics dashboard with traffic sources, pages, locations, devices, campaigns, and referrers.
• Lightweight tracking script designed to minimize page weight and avoid cookies.
• Goal, conversion, funnel, revenue attribution, and custom event tracking.
• Built-in support for SPAs, pushState routing, hash-based routing, and modern frontend frameworks.
• Email and Slack reports, traffic spike/drop alerts, public dashboard sharing, and team access controls.
• Events API, stats API, CSV export, Google Search Console integration, and Google Analytics import.

Clear use cases

• Replace Google Analytics on a marketing site while reducing privacy and compliance overhead.
• Track traffic and conversions for SaaS landing pages, docs sites, blogs, and ecommerce funnels.
• Self-host analytics for organizations that need control over visitor data and infrastructure.
• Share transparent public traffic dashboards for open source projects, communities, or media sites.
• Feed product or marketing dashboards using the stats API and event data.

Plausible is deliberately opinionated: it measures website performance, not individual users. You get the metrics that matter to most teams — visitors, sources, pages, campaigns, goals, conversions, and real-time activity — without building a surveillance stack or sending data into an ad network. The dashboard is also refreshingly direct; there is no maze of reports to configure before you can answer basic questions.

For self-hosters, the value is strongest when privacy, data ownership, and operational control matter more than advanced enterprise analytics features. Plausible is built with Elixir/Phoenix and uses ClickHouse for analytics storage, so it is not just a toy dashboard; it is designed around high-volume event ingestion and fast reporting. That said, you should be prepared to run and maintain a real service, not just drop a PHP script on shared hosting.

The biggest strength is privacy-first simplicity — Plausible gives teams a credible Google Analytics alternative without cookies, persistent identifiers, or ad-tech baggage. Compared with commercial analytics suites, its edge is not endless segmentation or behavioral profiling; it is delivering clean, understandable web metrics while keeping compliance and user trust manageable.

Best for privacy-conscious developers, indie SaaS teams, publishers, open source maintainers, and IT teams that want self-hosted web analytics without adopting a full marketing surveillance platform.

Topics: the project is tagged with popular topics:

• 🏷️ analytics
• 🏷️ analytics-dashboard
• 🏷️ clickhouse
• 🏷️ elixir
• 🏷️ google-analytics
• 🏷️ marketing
• 🏷️ open-source-analytics
• 🏷️ phoenix
• 🏷️ plausible-analytics
• 🏷️ postgresql

📸 Screenshots

Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/plausible/analytics.git
cd analytics
docker build -t analytics .
docker run -d -p 8080:8080 analytics

Minimum system requirements

⚡ Deploy fast on VSIS

Use the VSIS VPS Standard 4GB RAM / 2 vCPU / 50GB SSD (~150k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running analytics smoothly.

🎯 Benefits:

• One-command docker compose up -d deploy in 2 minutes
• Dedicated IPv4, root access, unmetered domestic bandwidth
• Daily snapshot backup
• Free install assistance from the VSIS team

👉 See matching VPS plans at vsis.net

Resources

• 🔗 GitHub: plausible/analytics
• 🌐 Homepage: https://plausible.io
• 📚 Official docs: see README in the repo
• 💬 Community: GitHub Issues + Discussions

Article compiled from GitHub data on 05/05/2026. Star/fork counts may have changed — see live numbers via the GitHub link.