:gem: Prisme Analytics

An Open Source, privacy-focused and progressive analytics service.

Documentation
|
Live demo

Why Prisme ?

Here’s what makes Prisme a great alternative to other analytics:

• Easy setup: Gain valuable insights into your website or web application
  after a 3-minutes setup.
• Simple analytics: Easy to use dashboards with filters and definition for
  each metrics.
• Analytics that matter: Custom events and dashboards gives you the
  flexibility to measure what matters most, providing personalized insights to
  inform your business decisions.
• Privacy-focused: Worry-free GDPR, PPCA, PECR and Shrems II compliance with
  cookie-less analytics that collect only anonymized data.
• Lightweight: Prisme tracking script is around 1kB (~45x smaller than
  Google Analytics) and single pixel image returned for javascript less tracking
  is 35 bytes.
• Humans only: Bots, scrapers and spam traffic are automatically filtered.
• Campaigns & newsletters: Use UTM to collect data on how much traffic your
  campaigns generate.
• No vendor lock-in: all features are available in Open Source versions, and
  Prisme is designed to be easy to self-host.
• SPA support: Prisme is built with modern web frameworks in mind and it
  works automatically with any pushState based router on the frontend.
• Grafana based: Prisme integrates
  with Grafana that provides:
  • User managements
  • Team managements
  • Permissions managements
  • Multi organizations support
  • Custom dashboards

Getting started

Simply add tracking script to your website:

<script src="https://<your-prisme-instance-hostname>/static/wa.js" defer></script>
<noscript>
    <a href="https://my-prisme-instance.example.com/api/v1/noscript/events/pageviews" target="_blank" rel="noopener noreferrer"><img src="https://my-prisme-instance.example.com/api/v1/noscript/events/pageviews" style="max-width: 100%; height: auto;" /></a>
</noscript>

That’s it! You should now see data in you Web Analytics dashboard.

Configuration

You can find configuration documentation on
our website.

Performance

Prisme Analytics ingestion server is easily capable of ingesting more than
50,000 req/s on my AMD Ryzen 7 7840U w/ Radeon 780M Graphics.

$ cat /proc/cpuinfo | head | grep 'model name'
model name  : AMD Ryzen 7 7840U w/ Radeon  780M Graphics

$ cd tests/k6/events
$ make start test clean

          /      |‾‾| /‾‾/   /‾‾/
     /  /       |  |/  /   /  /
    /  /        |     (   /   ‾‾
   /             |  |   |  (‾)  |
  / __________   |__| __ _____/ .io

     execution: local
        script: /data/main.js
        output: -

     scenarios: (100.00%) 1 scenario, 4096 max VUs, 10m30s max duration (incl. graceful stop):
              * sharedIterationsPageViewEvents: 131072 iterations shared among 4096 VUs (maxDuration: 10m0s, gracefulStop: 30s)

     data_received..................: 90 MB  9.9 MB/s
     data_sent......................: 130 MB 14 MB/s
     http_req_blocked...............: avg=928.82µs min=330ns    med=1.07µs   max=268.74ms p(90)=2.45µs   p(95)=3.16µs  
     http_req_connecting............: avg=911.42µs min=0s       med=0s       max=268.71ms p(90)=0s       p(95)=0s      
     http_req_duration..............: avg=73.92ms  min=57.4µs   med=67.47ms  max=808.82ms p(90)=139.72ms p(95)=167.03ms
       { expected_response:true }...: avg=74.08ms  min=60.26µs  med=67.63ms  max=808.82ms p(90)=139.92ms p(95)=167.43ms
     http_req_failed................: 13.80% ✓ 62640        ✗ 391185
     http_req_receiving.............: avg=3.71ms   min=3.4µs    med=12.13µs  max=221.36ms p(90)=729.89µs p(95)=19.92ms 
     http_req_sending...............: avg=282.26µs min=2.37µs   med=7.27µs   max=216.54ms p(90)=19.27µs  p(95)=105.73µs
     http_req_tls_handshaking.......: avg=0s       min=0s       med=0s       max=0s       p(90)=0s       p(95)=0s      
     http_req_waiting...............: avg=69.92ms  min=45.89µs  med=67.16ms  max=750.36ms p(90)=125.53ms p(95)=140.88ms
     http_reqs......................: 453825 50018.387644/s
     ✓ { event_type:custom }........: 117531 12953.696068/s
     ✓ { event_type:pageview }......: 336294 37064.691576/s
     iteration_duration.............: avg=274.18ms min=121.44µs med=152.26ms max=3.12s    p(90)=680.26ms p(95)=958.77ms
     iterations.....................: 131072 14446.119331/s
     vus............................: 2100   min=2100       max=4096
     vus_max........................: 4096   min=4096       max=4096

running (00m09.1s), 0000/4096 VUs, 131072 complete and 0 interrupted iterations
sharedIterationsPageViewEvents ✓ [ 100% ] 4096 VUs  00m09.1s/10m0s  131072/131072 shared iters

Contributing

If you want to contribute to prismeanalytics to add a feature or improve the
code, open an issue
or make a pull request.

:stars: Show your support

Please give a :star: if this project helped you!

:scroll: License

Prisme Analytics is distributed under
AGPL-3.0-only. For MIT exceptions, see LICENSING.md