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• Matomo Celebrates 15 Years of Building an Open-Source & Transparent Web Analytics Solution

  30 juin 2022, par Matthieu Aubry — About, Community
  &lt;script type=&quot;text/javascript&quot;&gt;<br />
       if ('function' === typeof window.playMatomoVideo){<br />
       window.playMatomoVideo(&quot;brand&quot;, &quot;#brand&quot;)<br />
       } else {<br />
       document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;brand&quot;, &quot;#brand&quot;); });<br />
       }<br />
  &lt;/script&gt;

  Fifteen years ago, I realised that people (myself included) were increasingly integrating the internet into their everyday lives, and it was clear that it would only expand in the future. It was an exciting new world, but the amount of personal data shared online, level of tracking and lack of security was a growing concern. Google Analytics was just launched then and was already gaining huge traction – so data from millions of websites started flowing into Google’s database, creating what was then the biggest centralised database about people worldwide and their actions online.

  So as a young engineering student, I decided we needed to build an open source and transparent solution that could help make the internet more secure and private while still providing organisations with powerful insights. I aimed to create a win-win solution for businesses and their digital consumers.

  And in 2007, I started developing Matomo with the help from Scott Switzer and Jennifer Langdon (who offered me an internship and support).   

  All thanks to the Matomo Community

  We have reached significant milestones and made major changes over the last 15 years, but we wouldn’t be where we are today without the Matomo Community.

  So I would like to celebrate and thank the hundreds of volunteer developers who have donated their time to develop Matomo, the thousands of contributors who provided feedback to improve Matomo, the countless supportive forum members, our passionate team of 40 at Matomo, the numerous translators who have translated Matomo and the 1.5 million websites that choose Matomo as their analytics platform.

  

  Matomo has been a community effort built on the shoulders of many, and we will continue to work for you. 

  So let’s look at some milestones we have achieved over the last 15 years.

  Looking back on milestones in our timeline

  2007

  • Birth of Matomo
  • First alpha version released

  2008

  • Release first public 0.1.0 version

  2009

  • 50,000 websites use Matomo

  2010

  • Matomo first stable 1.0.0 released
  • Mobile app launched

  2011

  • Released Ecommerce Analytics, Custom Variables, First Party Cookies

  • Released Privacy control features (first of many privacy features to come !)

  2012

  • Released Log Analytics feature
  • 1 Million Downloads !
  • 300,000 websites worldwide use Matomo

  2013

  • Matomo is now available in 50 languages !
  • Matomo brand redesign

  2016

  • Released Roll-Up Reporting Premium Feature, Users Flow Premium Feature, White Label Premium Feature, A/B Testing Premium Feature, Media Analytics Premium Feature, Funnels Premium Feature and Activity Log Premium Feature 
  • On-Premise Premium Plugins now available on the Marketplace

  2017

  • Launched Matomo Cloud service 
  • Released Multi Channel Conversion Attribution Premium Feature, Custom Reports Premium Feature, Login Saml Premium Feature, WooCommerceAnalytics Premium Feature and Heatmap & Session Recording Premium Feature 

  2018

  • Piwik renamed to Matomo
  • New Matomo logo and Matomo.org website re-launch
  • Launch of Matomo Tag Manager
  • 10,000 stars on Github
  • GDPR comes into effect, and Matomo released new product features and published several new guides
  • 17 Matomo features videos published online
  • Reached thousands of paying customers, making the project sustainable and financially independent

  2019

  • 700,000 websites worldwide use Matomo
  • Google Analytics importer released

  2020

  • Matomo For WordPress goes live on the WP Marketplace !
  • Released Paid Advertising Performance Premium feature
  • 100 million On-Premise Plugins downloads on the marketplace (since the beginning)

  2021

  • 1,000,000 websites worldwide use Matomo
  • including 30,000 active Matomo for WordPress installations
  • Released SEO Web Vitals, Advertising Conversion Export and Tracking Spam Prevention feature

  2022

  • Released WP Statistics to Matomo importer

  Our efforts continue

  While we’ve seen incredible growth over the years, our work doesn’t stop there. In fact, we’re only just getting started.

  Today over 55% of the internet continues to use privacy-threatening web analytics solutions, while 1.5% uses Matomo. So there are still great strides to be made to create a more private internet, and joining the Matomo Community is one way to support this movement.

  There are many ways to get involved too, such as :

  • Submitting feature requests
  • Developing for Matomo 
  • Leaving Matomo a review on sites like Capterra, TrustRadius, G2 Crowd, alternativeTo, SaaSworthy, Siftery, Open Hub
  • Translating Matomo
  • Joining our Security Bug Bounty Programme
  • Sharing Matomo with your peers
  • Talking about Matomo on social platforms

  So what comes next for Matomo ?

  The future of Matomo is approachable, powerful and flexible. We’re strengthening the customers’ voice, expanding our resources internally (we’re continuously hiring !) and conducting rigorous customer research to craft a tool that balances usability and functionality.

  I look forward to the next 15 years and seeing what the future holds for Matomo and our community.

• avdevice/xcbgrab : don't assume xserver endianness

  31 janvier 2021, par Andriy Gelman

  avdevice/xcbgrab : don't assume xserver endianness
  xserver defines the endianness of the grabbed images. Use this information
  
  to set the correct pixel format.
  This also fixes format selection in configuration depth=32/bpp=32 with
  
  xserver on a little endian machine. Before the patch, the big endian
  
  layout 0RGB was always selected which is incorrect because BGR0 should
  
  be used. RGB24 was also incorrectly assumed (but this format was removed
  
  in xserver 1.20).
  The big-endian settings can be tested using docker+qemu from a little-endian
  
  machine :
  $ docker run —rm —privileged multiarch/qemu-user-static —reset -p yes
  
  $ docker run —rm -it -v /tmp :/tmp powerpc64/debian /bin/bash
  In docker container
  
  $ apt-get update
  
  $ apt-get install xvfb
  
  $ apt-get install x11-apps
  To test AV_PIX_FMT_0RGB32
  
  $ Xvfb :2 -screen 0 720x480x24 &
  
  $ export DISPLAY=:2
  
  $ xclock -geometry 720x480 -bg green #test different colors
  On your host machine grab the frames using the following
  
  command. View output to check that colors are rendered correctly
  
  $ ./ffmpeg -y -f x11grab -i :2.0 -codec:v mpeg2video out.mp4
  Other pixel formats can be tested by modifying how Xvfb is started in the docker
  
  container :
  AV_PIX_FMT_RGB565
  
  $ Xvfb :2 -screen 0 720x480x16
  AV_PIX_FMT_RGB555
  
  $ Xvfb :2 -screen 0 720x480x15
  AV_PIX_FMT_BGR24 / AV_PIX_FMT_RGB24
  
  This is difficult to test because bpp=24 support was removed in xserver 1.20
  
  https://lists.x.org/archives/xorg-devel/2018-February/056175.html?hmsr=joyk.com&utm_source=joyk.com&utm_medium=referral
  
  However, I was able to run previous version of Xvfb (with some
  
  modifications to force 24bpp) to check that images are rendered correctly.
  Reviewed-by : Carl Eugen Hoyos <ceffmpeg@gmail.com>
  
  Signed-off-by : Andriy Gelman <andriy.gelman@gmail.com>
  

  • [DH] libavdevice/xcbgrab.c

• Webcam - Publishing and Archiving on line video files

  11 novembre 2014, par Emmanuel Brunet

  I want to publish an ASF live video stream over the internet and also copy the backup to disk (without sound to spare disk space)

  I’m running debian 7.7 wheezy / ffmpeg 2.2 and ffserver 1.2.9.

  ---

  The IP camera video streams specifications are

  Input #0, asf, from 'http://account:password@webcam/videostream.asf':
  
    Duration: N/A, start: 0.000000, bitrate: 32 kb/s
  
      Stream #0:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj422p(pc), 640x480, 50 tbr, 1k tbn, 1k tbc
  
      Stream #0:1: Audio: adpcm_ima_wav ([17][0][0][0] / 0x0011), 8000 Hz, 1 channels, s16p, 32 kb/s

  To achieve this I have set up a /etc/ffserver.conf configuration

  Port 11000
  
  
  
  BindAddress 0.0.0.0
  
  
  
  MaxClients 1000
  
  
  
  MaxBandwidth 40000
  
  
  
  CustomLog -
  
  
  
  <feed>
  
  File /tmp/feed1.ffm
  
  FileMaxSize 200K
  
  ACL allow localhost
  
  ACL allow 192.168.1.1 192.168.255.255
  
  
  
  </feed>
  
  
  
  
  
  # --------------------------- ASF ----------------------
  
  
  
  <stream>
  
  Feed feed1.ffm
  
  Format asf
  
  
  
  AVOptionVideo flags +global_header
  
  VideoFrameRate 25
  
  VideoSize 640x480
  
  VideoBitRate 1024
  
  VideoBufferSize 1024
  
  StartSendOnKey
  
  NoAudio
  
  </stream>
  
  
  
  # ------------ Server status -------------------
  
  
  
  <stream>
  
  Format status
  
  
  
  # Only allow local people to get the status
  
  ACL allow localhost
  
  ACL allow 192.168.0.0 192.168.255.255
  
  
  
  #FaviconURL http://pond1.gladstonefamily.net:8080/favicon.ico
  
  </stream>
  
  
  
  
  
  # ---------- Redirect --------------------
  
  
  
  <redirect>
  
  URL http://www.ffmpeg.org/
  
  </redirect>

  To connect the feed I run

  to start the ffserver

  ffserver -f /etc/ffserver.conf

  to collect the stream from the camera

  ffmpeg -i http://account:password@webcam/videostream.asf -c:v libx264 -an http://localhost:11000/feed1.ffm

  and all works like a charm.

  ---

  My questions are :

  • How in the same time having the stream saved to disk ?

  (as done by the command)

  ffmpeg -i http://account:password@webcam/videostream.asf -preset veryfast -t 00:60:00 -b:v 512K -c:v libx264 -pix_fmt yuv420p -an /var/backup/videos/YYY-MM-DD.mp4

  Note that the output .mp4 file names should rotate to get multiple timestamped output archives

  • How can I published video over RTSP ?

  I’ve found examples on the internet but none worked for me

  Thanks in advance

  regards