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• Choosing the best self-hosted open-source analytics platform

  16 juillet, par Joe

  Google Analytics (GA) is the most widely used analytics platform, with 50.3% of the top 1 million active websites using it today. You’re probably using it right now. 

  But despite being a free tool, Google Analytics is proprietary software, which means you’re handing over your browsing data, metadata and search history to a third party.

  Do you trust them ? We sure don’t.

  This lack of control can lead to potential privacy risks and compliance issues. These issues have so far resulted in fines under the EU’s General Data Protection Regulation (GDPR) of an average of €2.5 million each, for a total of almost €6.6 billion since 2018.

  Open-source analytics platforms offer a solution. They’re a safer and more transparent alternative that lets you retain full control over how you collect and store your customers’ data. But what are these tools ? Where do you find them ? And, most importantly, how do you choose the best one for your needs ?

  This guide explores the benefits and features of open-source analytics platforms and compares popular options, including Matomo, a leading self-hosted, open-source Google Analytics alternative.

  What is an open-source analytics platform ?

  An analytics platform is software that collects, processes and analyses data to gain insights, identify trends, and make informed decisions. It helps users understand past performance, monitor current activities and predict future outcomes.

  An open-source analytics platform is a type of analytics suite in which anyone can view, modify and distribute the underlying source code.

  In contrast to proprietary analytics platforms, where a single entity owns and controls the code, open-source analytics platforms adhere to the principles of free and open-source software (FOSS). This allows everyone to use, study, share, and customise the software to meet their needs, fostering collaboration and transparency.

  Open-source analytics and the Free Software Foundation

  The concept of FOSS is rooted in the idea of software freedom. According to the Free Software Foundation (FSF), this idea is defined by four fundamental freedoms granted to the user the freedom to :

  • Use or run the program as they wish, for any purpose.
  • Study how the program works and change it as they wish.
  • Redistribute copies to help others.
  • Improve the code and distribute copies of their improved versions to others.

  Open access to the source code is a precondition for guaranteeing these freedoms.

  The importance of FOSS licensing

  The FSF has been instrumental in the free software movement, which serves as the foundation for open-source analytics platforms. Among other things, it created the GNU General Public Licence (GPL), which guarantees that all software distributions include the source code and are distributed under the same licence.

  However, other licences, including several copyleft and permissive licences, have been developed to address certain legal issues and loopholes in the GPL. Analytics platforms distributed under any of these licences are considered open-source since they are FSF-compliant.

  Benefits and drawbacks of open-source analytics platforms

  Open-source analytics platforms offer a compelling alternative to their proprietary counterparts, but they also have a few challenges.

  

  Benefits of open-source analytics

  • Full data ownership : Many open-source solutions let you host the analytics platform yourself. This gives you complete control over your customers’ data, ensuring privacy and security.
  • Customisable solution : With access to the source code, you can tailor the platform to your specific needs.
  • Full transparency : You can inspect the code to see exactly how data is collected, processed and stored, helping you ensure compliance with privacy regulations.
  • Community-driven development : Open-source projects benefit from the contributions of a global community of developers. This leads to faster innovation, quicker bug fixes and, in some cases, a wider range of features.
  • No predefined limits : Self-hosted open-source analytics platforms don’t impose arbitrary limits on data storage or processing. You’re only limited by your own server resources.

  Cons of open-source analytics

  • Technical expertise required : Setting up and maintaining a self-hosted open-source platform often requires technical knowledge.
  • No live/dedicated support team : While many projects have active communities, dedicated support might be limited compared to commercial offerings.
  • Integration challenges : Integrating with other tools in your stack might require custom development, especially if pre-built integrations aren’t available.
  • Feature gaps : Depending on the specific platform, there might be gaps in functionality compared to mature proprietary solutions.

  Why open-source is better than proprietary analytics

  Proprietary analytics platforms, like Google Analytics, have long been the go-to choice for many businesses. However, growing concerns around data privacy, vendor lock-in and limited customisation are driving a shift towards open-source alternatives.

  No vendor lock-in

  Proprietary platforms lock you into their ecosystem, controlling terms, pricing and future development. Migrating data can be costly, and you’re dependent on the vendor for updates. 

  Open-source platforms allow users to switch providers, modify software and contribute to development. Contributors can also create dedicated migration tools to import data from GA and other proprietary platforms.

  Data privacy concerns

  Proprietary analytics platforms can heighten the risk of data privacy violations and subsequent fines under regulations like the GDPR and the California Consumer Privacy Act (CCPA). This is because their opaque ‘black box’ design often obscures how they collect, process and use data. 

  Businesses often have limited visibility and even less control over a vendor’s data handling. They don’t know whether these vendors are using it for their own benefit or sharing it more widely, which can lead to privacy breaches and other data protection violations.

  These fines can reach into the millions and even billions. For example, Zoom was fined $85 million in 2021 for CCPA violations, while the largest fine in history has been the €1.2 billion fine imposed on Meta by the Irish Data Protection Act (DPA) under the EU GDPR.

  Customisation

  Proprietary platforms often offer a one-size-fits-all approach. While they might have some customisation options, you’re ultimately limited by what the vendor provides. Open-source platforms, on the other hand, offer unparalleled flexibility.

  Unlimited data processing

  Proprietary analytics platforms often restrict the amount of data you can collect and process, especially on free plans. Going over these limits usually requires upgrading to a paid plan, which can be a problem for high-traffic websites or businesses with large datasets. 

  Self-hosted tools only limit data processing based on your server resources, allowing you to collect and analyse as much data as you need at no extra cost.

  No black box effect

  Since proprietary tools are closed-source, they often lack transparency in their data processing methods. It’s difficult to understand and validate how their algorithms work or how they calculate specific metrics. This “black box” effect can lead to trust issues and make it challenging to validate your data’s accuracy.

  11 Key features to look for in an open-source analytics platform

  Choosing the right open-source analytics platform is crucial for unlocking actionable insights from your customers’ data. Here are 11 key features to consider :

  

  #1. Extensive support documentation and resource libraries

  Even with technical expertise, you might encounter challenges or have questions about the platform. A strong support system is essential. Look for platforms with comprehensive documentation, active community forums and the option for professional support for mission-critical deployments.

  #2. Live analytics

  Having access to live data and reports is crucial for making timely and informed decisions. A live analytics feature allows you to :

  • Monitor website traffic as it happens.
  • Optimise campaign performance tracking.
  • Identify and respond to issues like traffic spikes, drops or errors quickly, allowing for rapid troubleshooting.

  For example, Matomo updates tracking data every 10 seconds, which is more than enough to give you a live view of your website performance.

  #3. Personal data tracking

  Understanding user behaviour is at the heart of effective analytics. Look for a platform that allows you to track personal data while respecting privacy. This might include features like :

  • Creating detailed profiles of individual users and tracking their interactions across multiple sessions.
  • Track user-specific attributes like demographics, interests or purchase history.
  • Track user ID across different devices and platforms to understand user experience.

  #4. Conversion tracking

  Ultimately, you want to measure how effective your website is in achieving your business goals. Conversion tracking allows you to :

  • Define and track key performance indicators (KPIs) like purchases, sign-ups or downloads.
  • Identify bottlenecks in the user journey that prevent conversions.
  • Measure the ROI of your marketing campaigns.

  #5. Session recordings

  Session recordings give your development team a qualitative understanding of user behaviour by letting you watch replays of individual user sessions. This can help you :

  • Identify usability issues.
  • Understand how users navigate your site and interact with different elements.
  • Uncover bugs or errors.

  #6. A/B testing

  Experimentation is key to optimising your website and improving conversion rates. Look for an integrated A/B testing feature that allows you to :

  • Test different variations of your website in terms of headlines, images, calls to action or page layouts.
  • Measure the impact on key metrics.
  • Implement changes based on statistically significant differences in user behaviour patterns, rather than guesswork.

  #7. Custom reporting and dashboards

  Every business has unique reporting needs. Look for a flexible platform that allows you to :

  • Build custom reports that focus on the metrics that matter most to you.
  • Create personalised dashboards that provide a quick overview of those KPIs.
  • Automate report generation to save your team valuable time.

  #8. No data sampling

  Data sampling can save time and processing power, but it can also lead to inaccurate insights if the sample isn’t representative of the entire dataset. The solution is to avoid data sampling entirely.

  Processing 100% of your customers’ data ensures that your reports are accurate and unbiased, providing a true picture of customer behaviour.

  #9. Google Analytics migration tools

  If you’re migrating from Google Analytics, a data export/import tool can save you time and effort. Some open-source analytics projects offer dedicated data importers to transfer historical data from GA into the new platform, preserving valuable insights. These tools help maintain data continuity and simplify the transition, reducing the manual effort involved in setting up a new analytics platform.

  #10 A broad customer base

  The breadth and diversity of an analytics platform’s customer base can be a strong indicator of its trustworthiness and capabilities. Consider the following :

  • Verticals served
  • The size of the companies that use it
  • Whether it’s trusted in highly-regulated industries

  If a platform is trusted by a large entity with stringent security and privacy requirements, such as governments or military branches, it speaks volumes about its security and data protection capabilities.

  #11 Self-hosting

  Self-hosting offers unparalleled control over your customers’ data and infrastructure.

  Unlike cloud-based solutions, where your customers’ data resides on third-party servers, self-hosting means you manage your own servers and databases. This approach ensures that your customers’ data remains within your own infrastructure, enhancing privacy and security.

  There are other features, like analytics for mobile apps, but these 11 will help shortlist your options to find the ideal tool.

  Choosing your self-hosted open-source analytics platform : A step-by-step guide

  The right self-hosted open-source analytics platform can significantly impact your data strategy. Follow these steps to make the best choice :

  

  Step #1. Define your needs and objectives

  Begin by clearly outlining what you want to achieve with your analytics platform :

  • Identify relevant KPIs.
  • Determine what type of reports to generate, their frequency and distribution.
  • Consider your privacy and compliance needs, like GDPR and CCPA.

  Step #2. Define your budget

  While self-hosted open-source platforms are usually free to use, there are still costs associated with self-hosting, including :

  • Server hardware and infrastructure.
  • Ongoing maintenance, updates and potential support fees.
  • Development resources if you plan to customise the platform.

  Step #3. Consider scalability and performance

  Scaling your analytics can be an issue with self-hosted platforms since it means scaling your server infrastructure as well. Before choosing a platform, you must think about :

  • Current traffic volume and projected growth.
  • Your current capacity to handle traffic.
  • The platform’s scalability options.

  Step #4. Research and evaluate potential solutions

  Shortlist a few different open-source analytics platforms that align with your requirements. In addition to the features outlined above, also consider factors like :

  • Ease of use.
  • Community and support.
  • Comprehensive documentation.
  • The platform’s security track record.

  Step #5. Sign up for a free trial and conduct thorough testing

  Many platforms offer free trials or demos. Take advantage of these opportunities to test the platform’s features, evaluate the user interface and more.

  You can embed multiple independent tracking codes on your website, which means you can test multiple analytics platforms simultaneously. Doing so helps you compare and validate results based on the same data, making comparisons more objective and reliable.

  Step #6. Plan for implementation and ongoing management

  After choosing a platform, follow the documentation to install and configure the software. Plan how you’ll migrate existing data if you’re switching from another platform.

  Ensure your team is trained on the platform, and establish a plan for updates, security patches and backups. Then, you’ll be ready to migrate to the new platform while minimising downtime.

  Top self-hosted open-source analytics tools

  Let’s examine three prominent self-hosted open-source analytics tools.

  Matomo

  Main Features	Analytics updated every 10 seconds, custom reports, dashboards, user segmentation, goal tracking, e-commerce tracking, funnels, heatmaps, session recordings, A/B testing, SEO tools and more advanced features.
  Best for	Businesses of all sizes and from all verticals. Advanced users
  Licencing	GPLv3 (core platform).Various commercial licences for plugins.
  Pricing	Self-hosted : Free (excluding paid plugins).Cloud version : Starts at $21.67/mo for 50K website hits when paid annually.

  

  Matomo Analytics dashboard

  Matomo is a powerful web analytics platform that prioritises data privacy and user control. It offers a comprehensive suite of features, including live analytics updated every 10 seconds, custom reporting, e-commerce tracking and more. You can choose between a full-featured open-source, self-hosted platform free of charge or a cloud-based, fully managed paid analytics service.

  Matomo also offers 100% data ownership and has a user base of over 1 million websites, including heavyweights like NASA, the European Commission, ahrefs and the United Nations.

  Plausible Analytics

  Main Features	Basic website analytics (page views, visitors, referrers, etc.), custom events, goal tracking and some campaign tracking features.
  Best for	Website owners, bloggers and small businesses.Non-technical users.
  Licencing	AGPLv3.
  Pricing	Self-hosted : FreeCloud version : Starts at $7.50/mo for 10K website hits when paid annually.

  

  Plausible Analytics 
  (Image source)

  Plausible Analytics is a lightweight, privacy-focused analytics tool designed to be simple and easy to use. It provides essential website traffic data without complex configurations or intrusive tracking.

  Fathom Lite & Fathom Analytics

  Main features	Basic website analytics (page views, visitors, referrers, etc.), custom events and goal tracking.
  Best for	Website owners and small businesses.Non-technical users.
  Licencing	Fathom Lite : MIT Licence (self-hosted).Fathom Analytics : Proprietary.
  Pricing	Fathom Lite : Free but currently unsupported.Cloud version : Starts at $12.50/month for up to 50 sites when paid annually.

  

  Fathom Analytics 
  (Image source)

  Fathom started as an open-source platform in 2018. But after the founders released V1.0.1, they switched to a closed-source, paid, proprietary model called Fathom Analytics. Since then, it has always been closed-source.

  However, the open-source version, Fathom Lite, is still available. It has very limited functionality, uses cookies and is currently unsupported by the company. No new features are under development and uptime isn’t guaranteed.

  Matomo vs. Plausible vs. Fathom

  Matomo, Plausible, and Fathom are all open-source, privacy-focused alternatives to Google Analytics. They offer features like no data sampling, data ownership, and EU-based cloud hosting.

  Here’s a head-to-head comparison of the three :

  	Matomo	Plausible	Fathom
  Focus	Comprehensive, feature-rich, customizable	Simple, lightweight, beginner-friendly	Simple, lightweight, privacy-focused
  Target User	Businesses, marketers and analysts seeking depth	Beginners, bloggers, and small businesses	Website owners and users prioritising simplicity
  Open Source	Fully open-source	Fully open-source	Limited open-source version
  Advanced analytics	Extensive	Very limited	Very limited
  Integrations	100+	Limited	Fewer than 15
  Customisation	High	Low	Low
  Data management	Granular control, raw data access, complex queries	Simplified, no raw data access	Simplified, no raw data access
  GDPR features	Compliant by design, plus GDPR Manager	Guides only	Compliant by design
  Pricing	Generally higher	Generally lower	Intermediate
  Learning curve	Steeper	Gentle	Gentle

  The open-core dilemma

  Open-source platforms are beneficial and trustworthy, leading some companies to falsely market themselves as such.

  Some were once open-source but later became commercial, criticised as “bait-and-switch.” Others offer a limited open-source “core” with proprietary features, called the “open core” model. While this dual licensing can be ethical and sustainable, some abuse it by offering a low-value open-source version and hiding valuable features behind a paywall.

  However, other companies have embraced the dual-licensing model in a more ethical way, providing a valuable solution with a wide range of tools under the open-source license and only leaving premium, non-essential add-ons as paid features.

  Matomo is a prime example of this practice, championing the principles of open-source analytics while developing a sustainable business model for its users’ benefit.

  Choose Matomo as your open-source data analytics tool

  Open-source analytics platforms offer compelling advantages over proprietary solutions like Google Analytics. They provide greater transparency, data ownership and customisation. Choosing an open-source analytics platform over a proprietary one gives you more control over your customers’ data and supports compliance with user privacy regulations.

  With its comprehensive features, powerful tools, commitment to privacy and active community, Matomo stands out as a leading choice. Make the switch to Matomo for ethical, user-focused analytics.

  Try Matomo for free.

• FFMPEG Output File is Empty Nothing was Encoded (for a Picture) ?

  4 mars 2023, par Sarah Szabo

  I have a strange issue effecting one of my programs that does bulk media conversions using ffmpeg from the command line, however this effects me using it directly from the shell as well :

  


  ffmpeg -i INPUT.mkv -ss 0:30 -y -qscale:v 2 -frames:v 1 -f image2 -huffman optimal "OUTPUT.png"
fails every run with the error message :
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)

  


  This only happens with very specific videos, and seemingly no other videos. File type is usually .webm. These files have been downloaded properly (usually from yt-dlp), and I have tried re-downloading them just to verify their integrity.

  


  One such file from a colleague was : https://www.dropbox.com/s/xkucr2z5ra1p2oh/Triggerheart%20Execlica%20OST%20%28Arrange%29%20-%20Crueltear%20Ending.mkv?dl=0

  


  Is there a subtle issue with the command string ?

  


  Notes :

  


  removing -huffman optimal had no effect

  


  moving -ss to before -i had no effect

  


  removing -f image2 had no effect

  


  Full Log :

  


  sarah@MidnightStarSign:~/Music/Playlists/Indexing/Indexing Temp$ ffmpeg -i Triggerheart\ Execlica\ OST\ \(Arrange\)\ -\ Crueltear\ Ending.mkv -ss 0:30 -y -qscale:v 2 -frames:v 1 -f image2 -huffman optimal "TEST.png"
ffmpeg version n5.1.2 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12.2.0 (GCC)
  configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libdav1d --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libiec61883 --enable-libjack --enable-libmfx --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librav1e --enable-librsvg --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-opencl --enable-opengl --enable-shared --enable-version3 --enable-vulkan
  libavutil      57. 28.100 / 57. 28.100
  libavcodec     59. 37.100 / 59. 37.100
  libavformat    59. 27.100 / 59. 27.100
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100
  libpostproc    56.  6.100 / 56.  6.100
[matroska,webm @ 0x55927f484740] Could not find codec parameters for stream 2 (Attachment: none): unknown codec
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, matroska,webm, from 'Triggerheart Execlica OST (Arrange) - Crueltear Ending.mkv':
  Metadata:
    title           : TriggerHeart Exelica PS2 & 360 Arrange ー 16 - Crueltear Ending
    PURL            : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    COMMENT         : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    ARTIST          : VinnyVynce
    DATE            : 20170905
    ENCODER         : Lavf59.27.100
  Duration: 00:00:30.00, start: -0.007000, bitrate: 430 kb/s
  Stream #0:0(eng): Video: vp9 (Profile 0), yuv420p(tv, bt709), 720x720, SAR 1:1 DAR 1:1, 25 fps, 25 tbr, 1k tbn (default)
    Metadata:
      DURATION        : 00:00:29.934000000
  Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, fltp (default)
    Metadata:
      DURATION        : 00:00:30.001000000
  Stream #0:2: Attachment: none
    Metadata:
      filename        : cover.webp
      mimetype        : image/webp
Codec AVOption huffman (Huffman table strategy) specified for output file #0 (TEST.png) has not been used for any stream. The most likely reason is either wrong type (e.g. a video option with no video streams) or that it is a private option of some encoder which was not actually used for any stream.
Stream mapping:
  Stream #0:0 -> #0:0 (vp9 (native) -> png (native))
Press [q] to stop, [?] for help
Output #0, image2, to 'TEST.png':
  Metadata:
    title           : TriggerHeart Exelica PS2 & 360 Arrange ー 16 - Crueltear Ending
    PURL            : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    COMMENT         : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    ARTIST          : VinnyVynce
    DATE            : 20170905
    encoder         : Lavf59.27.100
  Stream #0:0(eng): Video: png, rgb24, 720x720 [SAR 1:1 DAR 1:1], q=2-31, 200 kb/s, 25 fps, 25 tbn (default)
    Metadata:
      DURATION        : 00:00:29.934000000
      encoder         : Lavc59.37.100 png
frame=    0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)


  


  Manjaro OS System Specs :

  


  System:&#xA;  Kernel: 6.1.12-1-MANJARO arch: x86_64 bits: 64 compiler: gcc v: 12.2.1&#xA;    parameters: BOOT_IMAGE=/@/boot/vmlinuz-6.1-x86_64&#xA;    root=UUID=f11386cf-342d-47ac-84e6-484b7b2f377d rw rootflags=subvol=@&#xA;    radeon.modeset=1 nvdia-drm.modeset=1 quiet&#xA;    cryptdevice=UUID=059df4b4-5be4-44d6-a23a-de81135eb5b4:luks-disk&#xA;    root=/dev/mapper/luks-disk apparmor=1 security=apparmor&#xA;    resume=/dev/mapper/luks-swap udev.log_priority=3&#xA;  Desktop: KDE Plasma v: 5.26.5 tk: Qt v: 5.15.8 wm: kwin_x11 vt: 1 dm: SDDM&#xA;    Distro: Manjaro Linux base: Arch Linux&#xA;Machine:&#xA;  Type: Desktop Mobo: ASUSTeK model: PRIME X570-PRO v: Rev X.0x&#xA;    serial: <superuser required="required"> UEFI: American Megatrends v: 4408&#xA;    date: 10/27/2022&#xA;Battery:&#xA;  Message: No system battery data found. Is one present?&#xA;Memory:&#xA;  RAM: total: 62.71 GiB used: 27.76 GiB (44.3%)&#xA;  RAM Report: permissions: Unable to run dmidecode. Root privileges required.&#xA;CPU:&#xA;  Info: model: AMD Ryzen 9 5950X bits: 64 type: MT MCP arch: Zen 3&#x2B; gen: 4&#xA;    level: v3 note: check built: 2022 process: TSMC n6 (7nm) family: 0x19 (25)&#xA;    model-id: 0x21 (33) stepping: 0 microcode: 0xA201016&#xA;  Topology: cpus: 1x cores: 16 tpc: 2 threads: 32 smt: enabled cache:&#xA;    L1: 1024 KiB desc: d-16x32 KiB; i-16x32 KiB L2: 8 MiB desc: 16x512 KiB&#xA;    L3: 64 MiB desc: 2x32 MiB&#xA;  Speed (MHz): avg: 4099 high: 4111 min/max: 2200/6358 boost: disabled&#xA;    scaling: driver: acpi-cpufreq governor: schedutil cores: 1: 4099 2: 4095&#xA;    3: 4102 4: 4100 5: 4097 6: 4100 7: 4110 8: 4111 9: 4083 10: 4099 11: 4100&#xA;    12: 4094 13: 4097 14: 4101 15: 4100 16: 4099 17: 4100 18: 4097 19: 4098&#xA;    20: 4095 21: 4100 22: 4099 23: 4099 24: 4105 25: 4098 26: 4100 27: 4100&#xA;    28: 4092 29: 4103 30: 4101 31: 4100 32: 4099 bogomips: 262520&#xA;  Flags: 3dnowprefetch abm adx aes aperfmperf apic arat avic avx avx2 bmi1&#xA;    bmi2 bpext cat_l3 cdp_l3 clflush clflushopt clwb clzero cmov cmp_legacy&#xA;    constant_tsc cpb cpuid cqm cqm_llc cqm_mbm_local cqm_mbm_total&#xA;    cqm_occup_llc cr8_legacy cx16 cx8 de decodeassists erms extapic&#xA;    extd_apicid f16c flushbyasid fma fpu fsgsbase fsrm fxsr fxsr_opt ht&#xA;    hw_pstate ibpb ibrs ibs invpcid irperf lahf_lm lbrv lm mba mca mce&#xA;    misalignsse mmx mmxext monitor movbe msr mtrr mwaitx nonstop_tsc nopl npt&#xA;    nrip_save nx ospke osvw overflow_recov pae pat pausefilter pclmulqdq&#xA;    pdpe1gb perfctr_core perfctr_llc perfctr_nb pfthreshold pge pku pni popcnt&#xA;    pse pse36 rapl rdpid rdpru rdrand rdseed rdt_a rdtscp rep_good sep sha_ni&#xA;    skinit smap smca smep ssbd sse sse2 sse4_1 sse4_2 sse4a ssse3 stibp succor&#xA;    svm svm_lock syscall tce topoext tsc tsc_scale umip v_spec_ctrl&#xA;    v_vmsave_vmload vaes vgif vmcb_clean vme vmmcall vpclmulqdq wbnoinvd wdt&#xA;    x2apic xgetbv1 xsave xsavec xsaveerptr xsaveopt xsaves&#xA;  Vulnerabilities:&#xA;  Type: itlb_multihit status: Not affected&#xA;  Type: l1tf status: Not affected&#xA;  Type: mds status: Not affected&#xA;  Type: meltdown status: Not affected&#xA;  Type: mmio_stale_data status: Not affected&#xA;  Type: retbleed status: Not affected&#xA;  Type: spec_store_bypass mitigation: Speculative Store Bypass disabled via&#xA;    prctl&#xA;  Type: spectre_v1 mitigation: usercopy/swapgs barriers and __user pointer&#xA;    sanitization&#xA;  Type: spectre_v2 mitigation: Retpolines, IBPB: conditional, IBRS_FW,&#xA;    STIBP: always-on, RSB filling, PBRSB-eIBRS: Not affected&#xA;  Type: srbds status: Not affected&#xA;  Type: tsx_async_abort status: Not affected&#xA;Graphics:&#xA;  Device-1: NVIDIA GA104 [GeForce RTX 3070] vendor: ASUSTeK driver: nvidia&#xA;    v: 525.89.02 alternate: nouveau,nvidia_drm non-free: 525.xx&#x2B;&#xA;    status: current (as of 2023-02) arch: Ampere code: GAxxx&#xA;    process: TSMC n7 (7nm) built: 2020-22 pcie: gen: 4 speed: 16 GT/s lanes: 8&#xA;    link-max: lanes: 16 bus-ID: 0b:00.0 chip-ID: 10de:2484 class-ID: 0300&#xA;  Device-2: AMD Cape Verde PRO [Radeon HD 7750/8740 / R7 250E]&#xA;    vendor: VISIONTEK driver: radeon v: kernel alternate: amdgpu arch: GCN-1&#xA;    code: Southern Islands process: TSMC 28nm built: 2011-20 pcie: gen: 3&#xA;    speed: 8 GT/s lanes: 8 link-max: lanes: 16 ports: active: DP-3,DP-4&#xA;    empty: DP-1, DP-2, DP-5, DP-6 bus-ID: 0c:00.0 chip-ID: 1002:683f&#xA;    class-ID: 0300 temp: 54.0 C&#xA;  Device-3: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo&#xA;    bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>&#xA;  Display: x11 server: X.Org v: 21.1.7 with: Xwayland v: 22.1.8&#xA;    compositor: kwin_x11 driver: X: loaded: modesetting,nvidia dri: radeonsi&#xA;    gpu: radeon display-ID: :0 screens: 1&#xA;  Screen-1: 0 s-res: 5760x2160 s-dpi: 80 s-size: 1829x686mm (72.01x27.01")&#xA;    s-diag: 1953mm (76.91")&#xA;  Monitor-1: DP-1 pos: 1-2 res: 1920x1080 dpi: 93&#xA;    size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A&#xA;  Monitor-2: DP-1-3 pos: 2-1 res: 1920x1080 dpi: 82&#xA;    size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A&#xA;  Monitor-3: DP-1-4 pos: 1-1 res: 1920x1080 dpi: 93&#xA;    size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A&#xA;  Monitor-4: DP-3 pos: primary,2-2 res: 1920x1080 dpi: 82&#xA;    size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A&#xA;  Monitor-5: DP-4 pos: 2-4 res: 1920x1080 dpi: 82&#xA;    size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A&#xA;  Monitor-6: HDMI-0 pos: 1-3 res: 1920x1080 dpi: 93&#xA;    size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A&#xA;  API: OpenGL v: 4.6.0 NVIDIA 525.89.02 renderer: NVIDIA GeForce RTX&#xA;    3070/PCIe/SSE2 direct-render: Yes&#xA;Audio:&#xA;  Device-1: NVIDIA GA104 High Definition Audio vendor: ASUSTeK&#xA;    driver: snd_hda_intel bus-ID: 5-1:2 v: kernel chip-ID: 30be:1019 pcie:&#xA;    class-ID: 0102 gen: 4 speed: 16 GT/s lanes: 8 link-max: lanes: 16&#xA;    bus-ID: 0b:00.1 chip-ID: 10de:228b class-ID: 0403&#xA;  Device-2: AMD Oland/Hainan/Cape Verde/Pitcairn HDMI Audio [Radeon HD 7000&#xA;    Series] vendor: VISIONTEK driver: snd_hda_intel v: kernel pcie: gen: 3&#xA;    speed: 8 GT/s lanes: 8 link-max: lanes: 16 bus-ID: 0c:00.1&#xA;    chip-ID: 1002:aab0 class-ID: 0403&#xA;  Device-3: AMD Starship/Matisse HD Audio vendor: ASUSTeK&#xA;    driver: snd_hda_intel v: kernel pcie: gen: 4 speed: 16 GT/s lanes: 16&#xA;    bus-ID: 0e:00.4 chip-ID: 1022:1487 class-ID: 0403&#xA;  Device-4: Schiit Audio Unison Universal Dac type: USB driver: snd-usb-audio&#xA;  Device-5: JMTek LLC. Plugable USB Audio Device type: USB&#xA;    driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-2:3 chip-ID: 0c76:120b&#xA;    class-ID: 0300 serial: <filter>&#xA;  Device-6: ASUSTek ASUS AI Noise-Cancelling Mic Adapter type: USB&#xA;    driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-4:4 chip-ID: 0b05:194e&#xA;    class-ID: 0300 serial: <filter>&#xA;  Device-7: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo&#xA;    bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>&#xA;  Sound API: ALSA v: k6.1.12-1-MANJARO running: yes&#xA;  Sound Interface: sndio v: N/A running: no&#xA;  Sound Server-1: PulseAudio v: 16.1 running: no&#xA;  Sound Server-2: PipeWire v: 0.3.65 running: yes&#xA;Network:&#xA;  Device-1: Intel I211 Gigabit Network vendor: ASUSTeK driver: igb v: kernel&#xA;    pcie: gen: 1 speed: 2.5 GT/s lanes: 1 port: f000 bus-ID: 07:00.0&#xA;    chip-ID: 8086:1539 class-ID: 0200&#xA;  IF: enp7s0 state: up speed: 1000 Mbps duplex: full mac: <filter>&#xA;  IP v4: <filter> type: dynamic noprefixroute scope: global&#xA;    broadcast: <filter>&#xA;  IP v6: <filter> type: noprefixroute scope: link&#xA;  IF-ID-1: docker0 state: down mac: <filter>&#xA;  IP v4: <filter> scope: global broadcast: <filter>&#xA;  WAN IP: <filter>&#xA;Bluetooth:&#xA;  Device-1: Cambridge Silicon Radio Bluetooth Dongle (HCI mode) type: USB&#xA;    driver: btusb v: 0.8 bus-ID: 5-5.3:7 chip-ID: 0a12:0001 class-ID: e001&#xA;  Report: rfkill ID: hci0 rfk-id: 0 state: up address: see --recommends&#xA;Logical:&#xA;  Message: No logical block device data found.&#xA;  Device-1: luks-c847cf9f-c6b5-4624-a25e-4531e318851a maj-min: 254:2&#xA;    type: LUKS dm: dm-2 size: 3.64 TiB&#xA;  Components:&#xA;  p-1: sda1 maj-min: 8:1 size: 3.64 TiB&#xA;  Device-2: luks-swap maj-min: 254:1 type: LUKS dm: dm-1 size: 12 GiB&#xA;  Components:&#xA;  p-1: nvme0n1p2 maj-min: 259:2 size: 12 GiB&#xA;  Device-3: luks-disk maj-min: 254:0 type: LUKS dm: dm-0 size: 919.01 GiB&#xA;  Components:&#xA;  p-1: nvme0n1p3 maj-min: 259:3 size: 919.01 GiB&#xA;RAID:&#xA;  Message: No RAID data found.&#xA;Drives:&#xA;  Local Storage: total: 9.1 TiB used: 2.79 TiB (30.6%)&#xA;  SMART Message: Unable to run smartctl. Root privileges required.&#xA;  ID-1: /dev/nvme0n1 maj-min: 259:0 vendor: Western Digital&#xA;    model: WDS100T3X0C-00SJG0 size: 931.51 GiB block-size: physical: 512 B&#xA;    logical: 512 B speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter>&#xA;    rev: 111110WD temp: 53.9 C scheme: GPT&#xA;  ID-2: /dev/nvme1n1 maj-min: 259:4 vendor: Western Digital&#xA;    model: WDS100T2B0C-00PXH0 size: 931.51 GiB block-size: physical: 512 B&#xA;    logical: 512 B speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter>&#xA;    rev: 211070WD temp: 46.9 C scheme: GPT&#xA;  ID-3: /dev/sda maj-min: 8:0 vendor: Western Digital&#xA;    model: WD4005FZBX-00K5WB0 size: 3.64 TiB block-size: physical: 4096 B&#xA;    logical: 512 B speed: 6.0 Gb/s type: HDD rpm: 7200 serial: <filter>&#xA;    rev: 1A01 scheme: GPT&#xA;  ID-4: /dev/sdb maj-min: 8:16 vendor: Western Digital&#xA;    model: WD4005FZBX-00K5WB0 size: 3.64 TiB block-size: physical: 4096 B&#xA;    logical: 512 B speed: 6.0 Gb/s type: HDD rpm: 7200 serial: <filter>&#xA;    rev: 1A01 scheme: GPT&#xA;  ID-5: /dev/sdc maj-min: 8:32 type: USB vendor: SanDisk&#xA;    model: Gaming Xbox 360 size: 7.48 GiB block-size: physical: 512 B&#xA;    logical: 512 B type: N/A serial: <filter> rev: 8.02 scheme: MBR&#xA;  SMART Message: Unknown USB bridge. Flash drive/Unsupported enclosure?&#xA;  Message: No optical or floppy data found.&#xA;Partition:&#xA;  ID-1: / raw-size: 919.01 GiB size: 919.01 GiB (100.00%)&#xA;    used: 611.14 GiB (66.5%) fs: btrfs dev: /dev/dm-0 maj-min: 254:0&#xA;    mapped: luks-disk label: N/A uuid: N/A&#xA;  ID-2: /boot/efi raw-size: 512 MiB size: 511 MiB (99.80%)&#xA;    used: 40.2 MiB (7.9%) fs: vfat dev: /dev/nvme0n1p1 maj-min: 259:1 label: EFI&#xA;    uuid: 8922-E04D&#xA;  ID-3: /home raw-size: 919.01 GiB size: 919.01 GiB (100.00%)&#xA;    used: 611.14 GiB (66.5%) fs: btrfs dev: /dev/dm-0 maj-min: 254:0&#xA;    mapped: luks-disk label: N/A uuid: N/A&#xA;  ID-4: /run/media/sarah/ConvergentRefuge raw-size: 3.64 TiB&#xA;    size: 3.64 TiB (100.00%) used: 2.19 TiB (60.1%) fs: btrfs dev: /dev/dm-2&#xA;    maj-min: 254:2 mapped: luks-c847cf9f-c6b5-4624-a25e-4531e318851a&#xA;    label: ConvergentRefuge uuid: 7d295e73-4143-4eb1-9d22-75a06b1d2984&#xA;  ID-5: /run/media/sarah/MSS_EXtended raw-size: 475.51 GiB&#xA;    size: 475.51 GiB (100.00%) used: 1.48 GiB (0.3%) fs: btrfs&#xA;    dev: /dev/nvme1n1p1 maj-min: 259:5 label: MSS EXtended&#xA;    uuid: f98b3a12-e0e4-48c7-91c2-6e3aa6dcd32c&#xA;Swap:&#xA;  Kernel: swappiness: 60 (default) cache-pressure: 100 (default)&#xA;  ID-1: swap-1 type: partition size: 12 GiB used: 6.86 GiB (57.2%)&#xA;    priority: -2 dev: /dev/dm-1 maj-min: 254:1 mapped: luks-swap label: SWAP&#xA;    uuid: c8991364-85a7-4e6c-8380-49cd5bd7a873&#xA;Unmounted:&#xA;  ID-1: /dev/nvme1n1p2 maj-min: 259:6 size: 456 GiB fs: ntfs label: N/A&#xA;    uuid: 5ECA358FCA356485&#xA;  ID-2: /dev/sdb1 maj-min: 8:17 size: 3.64 TiB fs: ntfs&#xA;    label: JerichoVariance uuid: 1AB22D5664889CBD&#xA;  ID-3: /dev/sdc1 maj-min: 8:33 size: 3.57 GiB fs: iso9660&#xA;  ID-4: /dev/sdc2 maj-min: 8:34 size: 4 MiB fs: vfat label: MISO_EFI&#xA;    uuid: 5C67-4BF8&#xA;USB:&#xA;  Hub-1: 1-0:1 info: Hi-speed hub with single TT ports: 4 rev: 2.0&#xA;    speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900&#xA;  Hub-2: 1-2:2 info: Hitachi ports: 4 rev: 2.1 speed: 480 Mb/s&#xA;    chip-ID: 045b:0209 class-ID: 0900&#xA;  Device-1: 1-2.4:3 info: Microsoft Xbox One Controller (Firmware 2015)&#xA;    type: <vendor specific="specific"> driver: xpad interfaces: 3 rev: 2.0 speed: 12 Mb/s&#xA;    power: 500mA chip-ID: 045e:02dd class-ID: ff00 serial: <filter>&#xA;  Hub-3: 2-0:1 info: Super-speed hub ports: 4 rev: 3.0 speed: 5 Gb/s&#xA;    chip-ID: 1d6b:0003 class-ID: 0900&#xA;  Hub-4: 2-2:2 info: Hitachi ports: 4 rev: 3.0 speed: 5 Gb/s&#xA;    chip-ID: 045b:0210 class-ID: 0900&#xA;  Hub-5: 3-0:1 info: Hi-speed hub with single TT ports: 1 rev: 2.0&#xA;    speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900&#xA;  Hub-6: 3-1:2 info: VIA Labs Hub ports: 4 rev: 2.1 speed: 480 Mb/s&#xA;    power: 100mA chip-ID: 2109:3431 class-ID: 0900&#xA;  Hub-7: 3-1.2:3 info: VIA Labs VL813 Hub ports: 4 rev: 2.1 speed: 480 Mb/s&#xA;    chip-ID: 2109:2813 class-ID: 0900&#xA;  Hub-8: 4-0:1 info: Super-speed hub ports: 4 rev: 3.0 speed: 5 Gb/s&#xA;    chip-ID: 1d6b:0003 class-ID: 0900&#xA;  Hub-9: 4-2:2 info: VIA Labs VL813 Hub ports: 4 rev: 3.0 speed: 5 Gb/s&#xA;    chip-ID: 2109:0813 class-ID: 0900&#xA;  Hub-10: 5-0:1 info: Hi-speed hub with single TT ports: 6 rev: 2.0&#xA;    speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900&#xA;  Device-1: 5-1:2 info: Schiit Audio Unison Universal Dac type: Audio&#xA;    driver: snd-usb-audio interfaces: 2 rev: 2.0 speed: 480 Mb/s power: 500mA&#xA;    chip-ID: 30be:1019 class-ID: 0102&#xA;  Device-2: 5-2:3 info: JMTek LLC. Plugable USB Audio Device type: Audio,HID&#xA;    driver: hid-generic,snd-usb-audio,usbhid interfaces: 4 rev: 1.1&#xA;    speed: 12 Mb/s power: 100mA chip-ID: 0c76:120b class-ID: 0300&#xA;    serial: <filter>&#xA;  Device-3: 5-4:4 info: ASUSTek ASUS AI Noise-Cancelling Mic Adapter&#xA;    type: Audio,HID driver: hid-generic,snd-usb-audio,usbhid interfaces: 4&#xA;    rev: 1.1 speed: 12 Mb/s power: 100mA chip-ID: 0b05:194e class-ID: 0300&#xA;    serial: <filter>&#xA;  Hub-11: 5-5:5 info: Genesys Logic Hub ports: 4 rev: 2.0 speed: 480 Mb/s&#xA;    power: 100mA chip-ID: 05e3:0608 class-ID: 0900&#xA;  Device-1: 5-5.3:7 info: Cambridge Silicon Radio Bluetooth Dongle (HCI mode)&#xA;    type: Bluetooth driver: btusb interfaces: 2 rev: 2.0 speed: 12 Mb/s&#xA;    power: 100mA chip-ID: 0a12:0001 class-ID: e001&#xA;  Hub-12: 5-6:6 info: Genesys Logic Hub ports: 4 rev: 2.0 speed: 480 Mb/s&#xA;    power: 100mA chip-ID: 05e3:0608 class-ID: 0900&#xA;  Hub-13: 6-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s&#xA;    chip-ID: 1d6b:0003 class-ID: 0900&#xA;  Hub-14: 7-0:1 info: Hi-speed hub with single TT ports: 6 rev: 2.0&#xA;    speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900&#xA;  Device-1: 7-2:2 info: SanDisk Cruzer Micro Flash Drive type: Mass Storage&#xA;    driver: usb-storage interfaces: 1 rev: 2.0 speed: 480 Mb/s power: 200mA&#xA;    chip-ID: 0781:5151 class-ID: 0806 serial: <filter>&#xA;  Device-2: 7-4:3 info: ASUSTek AURA LED Controller type: HID&#xA;    driver: hid-generic,usbhid interfaces: 2 rev: 2.0 speed: 12 Mb/s power: 16mA&#xA;    chip-ID: 0b05:18f3 class-ID: 0300 serial: <filter>&#xA;  Hub-15: 8-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s&#xA;    chip-ID: 1d6b:0003 class-ID: 0900&#xA;  Hub-16: 9-0:1 info: Hi-speed hub with single TT ports: 4 rev: 2.0&#xA;    speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900&#xA;  Hub-17: 9-1:2 info: Terminus FE 2.1 7-port Hub ports: 7 rev: 2.0&#xA;    speed: 480 Mb/s power: 100mA chip-ID: 1a40:0201 class-ID: 0900&#xA;  Device-1: 9-1.1:4 info: Sunplus Innovation Gaming mouse [Philips SPK9304]&#xA;    type: Mouse driver: hid-generic,usbhid interfaces: 1 rev: 2.0 speed: 1.5 Mb/s&#xA;    power: 98mA chip-ID: 1bcf:08a0 class-ID: 0301&#xA;  Device-2: 9-1.5:6 info: Microdia Backlit Gaming Keyboard&#xA;    type: Keyboard,Mouse driver: hid-generic,usbhid interfaces: 2 rev: 2.0&#xA;    speed: 12 Mb/s power: 400mA chip-ID: 0c45:652f class-ID: 0301&#xA;  Device-3: 9-1.6:7 info: HUION H420 type: Mouse,HID driver: uclogic,usbhid&#xA;    interfaces: 3 rev: 1.1 speed: 12 Mb/s power: 100mA chip-ID: 256c:006e&#xA;    class-ID: 0300&#xA;  Hub-18: 9-1.7:8 info: Terminus Hub ports: 4 rev: 2.0 speed: 480 Mb/s&#xA;    power: 100mA chip-ID: 1a40:0101 class-ID: 0900&#xA;  Device-1: 9-2:3 info: Microdia USB 2.0 Camera type: Video,Audio&#xA;    driver: snd-usb-audio,uvcvideo interfaces: 4 rev: 2.0 speed: 480 Mb/s&#xA;    power: 500mA chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>&#xA;  Device-2: 9-4:11 info: VKB-Sim &#xA9; Alex Oz 2021 VKBsim Gladiator EVO L&#xA;    type: HID driver: hid-generic,usbhid interfaces: 1 rev: 2.0 speed: 12 Mb/s&#xA;    power: 500mA chip-ID: 231d:0201 class-ID: 0300&#xA;  Hub-19: 10-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s&#xA;    chip-ID: 1d6b:0003 class-ID: 0900&#xA;Sensors:&#xA;  System Temperatures: cpu: 38.0 C mobo: 41.0 C&#xA;  Fan Speeds (RPM): fan-1: 702 fan-2: 747 fan-3: 938 fan-4: 889 fan-5: 3132&#xA;    fan-6: 0 fan-7: 0&#xA;  GPU: device: nvidia screen: :0.0 temp: 49 C fan: 0% device: radeon&#xA;    temp: 53.0 C&#xA;Info:&#xA;  Processes: 842 Uptime: 3h 11m wakeups: 0 Init: systemd v: 252&#xA;  default: graphical tool: systemctl Compilers: gcc: 12.2.1 alt: 10/11&#xA;  clang: 15.0.7 Packages: 2158 pm: pacman pkgs: 2110 libs: 495 tools: pamac,yay&#xA;  pm: flatpak pkgs: 31 pm: snap pkgs: 17 Shell: Bash v: 5.1.16&#xA;  running-in: yakuake inxi: 3.3.25&#xA;</filter></filter></filter></filter></filter></filter></vendor></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></filter></superuser>

  


• Revision 30966 : eviter le moche ’doctype_ecrire’ lors de l’upgrade

  17 août 2009, par fil@… — Log

  eviter le moche ’doctype_ecrire’ lors de l’upgrade