Tidemark Analytics icon
Tidemark Analytics icon

Tidemark Analytics

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Tidemark is privacy-first web analytics. It measures visitors without cookies, without storing IP addresses or raw user agents, and without tracking people across sites. One dashboard shows visitors, pageviews, sources, pages, locations, devices, goals, funnels, segments, custom...

Tidemark Analytics screenshot 1

Cost / License

  • Freemium (Usage-based)
  • Open Source (MIT)

Application type

Since

  • New

Updated

  • Updated Nov 2026

Releases

  • 69 releases last year69 last year

Platforms

  • Online
  • Self-Hosted
  • Docker
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Features

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Tidemark Analytics News & Activities

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Tidemark Analytics information

  • Developed by

    Tidemark
  • Licensing

    Open Source (MIT) and Freemium product.
  • Pricing

    Usage-based pricing (pay per credit or per use) + free version with limited functionality.
  • Written in

  • Alternatives

    5 alternatives listed
  • Badge

    Get an embeddable badge for Tidemark Analytics
  • Supported Languages

    • English

AlternativeTo Categories

Office & Productivity, Network & Admin

GitHub repository

  •  3 Stars
  •  1 Forks
  •  1 Open Issues
  •   Updated  
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Tidemark Analytics was added to AlternativeTo by FoggyMtnDrifter on and this page was last updated .

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What is Tidemark Analytics?

Tidemark is privacy-first web analytics. It measures visitors without cookies, without storing IP addresses or raw user agents, and without tracking people across sites. One dashboard shows visitors, pageviews, sources, pages, locations, devices, goals, funnels, segments, custom events and revenue, and dashboards can be shared publicly with your own logo and colors.

Use it as Tidemark Cloud, with a free plan (1 site, 10,000 events a month) and a Pro plan for unlimited sites, or run it yourself for free. The self-hosted version is open source (MIT), installs on ordinary PHP shared hosting with a file upload or runs from a single Docker image, and works with SQLite, MySQL, MariaDB or PostgreSQL. It can also import a Plausible export, so you do not have to start with an empty graph.