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Liwan

Easy, privacy-first, and open-source web analytics that respects user data and runs efficiently on your own server.

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Overview

Liwan is an open-source web analytics platform built with a strong emphasis on user privacy and operational efficiency. It distinguishes itself by being a single, self-contained binary that can be run on your own server, eliminating the need for complex database setups. This architecture ensures that all collected data resides entirely within your control, adhering to privacy principles by avoiding cookies, cross-site tracking, and persistent identifiers. The tool is engineered for performance, written in Rust and leveraging Tokio for asynchronous I/O, making it fast and efficient enough to run on minimal hardware like a Raspberry Pi. It provides accurate real-time data on website visitors, page views, and referrers, while intelligently filtering out bots and crawlers. Its lightweight tracking script adds less than 1KB to your page size, ensuring minimal impact on website performance, making it an ideal choice for those who prioritize speed, privacy, and full data ownership.

Pricing

Pros & Cons

Pros

  • Exceptional privacy protection by design, avoiding common tracking methods.
  • Extremely easy and quick setup with a single binary, eliminating database complexities.
  • Highly efficient and lightweight, allowing deployment on low-resource hardware like a Raspberry Pi.
  • Full control over data as it's stored on your own server, enhancing security and compliance.
  • Open-source nature allows for transparency, customization, and community contributions.
  • Provides accurate data by automatically filtering out bots and crawlers.
  • Real-time analytics dashboard offers immediate insights into website traffic.

Cons

  • Requires self-hosting and server management, which might be a barrier for non-technical users.
  • Lacks advanced features found in commercial analytics platforms (e.g., conversion funnels, A/B testing integration).
  • No cloud-hosted option, limiting convenience for users who prefer managed services.
  • Dashboard might be less feature-rich compared to established analytics tools.
  • Community support might be less extensive than larger open-source projects or commercial tools.

Use Cases

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Best For

  • Websites requiring strict data privacy compliance (e.g., GDPR, CCPA).
  • Developers and small businesses who prefer self-hosting and full data ownership.
  • Projects needing lightweight analytics without impacting page load speed.
  • Open-source enthusiasts looking for a transparent analytics solution.
  • Websites running on low-cost infrastructure like a VPS or Raspberry Pi.
  • Anyone looking for a simple, no-frills analytics solution focused on core metrics.

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