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Médias (33)
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Stereo master soundtrack
17 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Audio
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#7 Ambience
16 octobre 2011, par
Mis à jour : Juin 2015
Langue : English
Type : Audio
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#6 Teaser Music
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#5 End Title
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#3 The Safest Place
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#4 Emo Creates
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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FFMPEG Output File is Empty Nothing was Encoded (for a Picture) ?
4 mars 2023, par Sarah SzaboI 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 optimalhad no effect

moving
-ssto before-ihad 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:
 Kernel: 6.1.12-1-MANJARO arch: x86_64 bits: 64 compiler: gcc v: 12.2.1
 parameters: BOOT_IMAGE=/@/boot/vmlinuz-6.1-x86_64
 root=UUID=f11386cf-342d-47ac-84e6-484b7b2f377d rw rootflags=subvol=@
 radeon.modeset=1 nvdia-drm.modeset=1 quiet
 cryptdevice=UUID=059df4b4-5be4-44d6-a23a-de81135eb5b4:luks-disk
 root=/dev/mapper/luks-disk apparmor=1 security=apparmor
 resume=/dev/mapper/luks-swap udev.log_priority=3
 Desktop: KDE Plasma v: 5.26.5 tk: Qt v: 5.15.8 wm: kwin_x11 vt: 1 dm: SDDM
 Distro: Manjaro Linux base: Arch Linux
Machine:
 Type: Desktop Mobo: ASUSTeK model: PRIME X570-PRO v: Rev X.0x
 serial: <superuser required="required"> UEFI: American Megatrends v: 4408
 date: 10/27/2022
Battery:
 Message: No system battery data found. Is one present?
Memory:
 RAM: total: 62.71 GiB used: 27.76 GiB (44.3%)
 RAM Report: permissions: Unable to run dmidecode. Root privileges required.
CPU:
 Info: model: AMD Ryzen 9 5950X bits: 64 type: MT MCP arch: Zen 3+ gen: 4
 level: v3 note: check built: 2022 process: TSMC n6 (7nm) family: 0x19 (25)
 model-id: 0x21 (33) stepping: 0 microcode: 0xA201016
 Topology: cpus: 1x cores: 16 tpc: 2 threads: 32 smt: enabled cache:
 L1: 1024 KiB desc: d-16x32 KiB; i-16x32 KiB L2: 8 MiB desc: 16x512 KiB
 L3: 64 MiB desc: 2x32 MiB
 Speed (MHz): avg: 4099 high: 4111 min/max: 2200/6358 boost: disabled
 scaling: driver: acpi-cpufreq governor: schedutil cores: 1: 4099 2: 4095
 3: 4102 4: 4100 5: 4097 6: 4100 7: 4110 8: 4111 9: 4083 10: 4099 11: 4100
 12: 4094 13: 4097 14: 4101 15: 4100 16: 4099 17: 4100 18: 4097 19: 4098
 20: 4095 21: 4100 22: 4099 23: 4099 24: 4105 25: 4098 26: 4100 27: 4100
 28: 4092 29: 4103 30: 4101 31: 4100 32: 4099 bogomips: 262520
 Flags: 3dnowprefetch abm adx aes aperfmperf apic arat avic avx avx2 bmi1
 bmi2 bpext cat_l3 cdp_l3 clflush clflushopt clwb clzero cmov cmp_legacy
 constant_tsc cpb cpuid cqm cqm_llc cqm_mbm_local cqm_mbm_total
 cqm_occup_llc cr8_legacy cx16 cx8 de decodeassists erms extapic
 extd_apicid f16c flushbyasid fma fpu fsgsbase fsrm fxsr fxsr_opt ht
 hw_pstate ibpb ibrs ibs invpcid irperf lahf_lm lbrv lm mba mca mce
 misalignsse mmx mmxext monitor movbe msr mtrr mwaitx nonstop_tsc nopl npt
 nrip_save nx ospke osvw overflow_recov pae pat pausefilter pclmulqdq
 pdpe1gb perfctr_core perfctr_llc perfctr_nb pfthreshold pge pku pni popcnt
 pse pse36 rapl rdpid rdpru rdrand rdseed rdt_a rdtscp rep_good sep sha_ni
 skinit smap smca smep ssbd sse sse2 sse4_1 sse4_2 sse4a ssse3 stibp succor
 svm svm_lock syscall tce topoext tsc tsc_scale umip v_spec_ctrl
 v_vmsave_vmload vaes vgif vmcb_clean vme vmmcall vpclmulqdq wbnoinvd wdt
 x2apic xgetbv1 xsave xsavec xsaveerptr xsaveopt xsaves
 Vulnerabilities:
 Type: itlb_multihit status: Not affected
 Type: l1tf status: Not affected
 Type: mds status: Not affected
 Type: meltdown status: Not affected
 Type: mmio_stale_data status: Not affected
 Type: retbleed status: Not affected
 Type: spec_store_bypass mitigation: Speculative Store Bypass disabled via
 prctl
 Type: spectre_v1 mitigation: usercopy/swapgs barriers and __user pointer
 sanitization
 Type: spectre_v2 mitigation: Retpolines, IBPB: conditional, IBRS_FW,
 STIBP: always-on, RSB filling, PBRSB-eIBRS: Not affected
 Type: srbds status: Not affected
 Type: tsx_async_abort status: Not affected
Graphics:
 Device-1: NVIDIA GA104 [GeForce RTX 3070] vendor: ASUSTeK driver: nvidia
 v: 525.89.02 alternate: nouveau,nvidia_drm non-free: 525.xx+
 status: current (as of 2023-02) arch: Ampere code: GAxxx
 process: TSMC n7 (7nm) built: 2020-22 pcie: gen: 4 speed: 16 GT/s lanes: 8
 link-max: lanes: 16 bus-ID: 0b:00.0 chip-ID: 10de:2484 class-ID: 0300
 Device-2: AMD Cape Verde PRO [Radeon HD 7750/8740 / R7 250E]
 vendor: VISIONTEK driver: radeon v: kernel alternate: amdgpu arch: GCN-1
 code: Southern Islands process: TSMC 28nm built: 2011-20 pcie: gen: 3
 speed: 8 GT/s lanes: 8 link-max: lanes: 16 ports: active: DP-3,DP-4
 empty: DP-1, DP-2, DP-5, DP-6 bus-ID: 0c:00.0 chip-ID: 1002:683f
 class-ID: 0300 temp: 54.0 C
 Device-3: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo
 bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>
 Display: x11 server: X.Org v: 21.1.7 with: Xwayland v: 22.1.8
 compositor: kwin_x11 driver: X: loaded: modesetting,nvidia dri: radeonsi
 gpu: radeon display-ID: :0 screens: 1
 Screen-1: 0 s-res: 5760x2160 s-dpi: 80 s-size: 1829x686mm (72.01x27.01")
 s-diag: 1953mm (76.91")
 Monitor-1: DP-1 pos: 1-2 res: 1920x1080 dpi: 93
 size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A
 Monitor-2: DP-1-3 pos: 2-1 res: 1920x1080 dpi: 82
 size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A
 Monitor-3: DP-1-4 pos: 1-1 res: 1920x1080 dpi: 93
 size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A
 Monitor-4: DP-3 pos: primary,2-2 res: 1920x1080 dpi: 82
 size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A
 Monitor-5: DP-4 pos: 2-4 res: 1920x1080 dpi: 82
 size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A
 Monitor-6: HDMI-0 pos: 1-3 res: 1920x1080 dpi: 93
 size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A
 API: OpenGL v: 4.6.0 NVIDIA 525.89.02 renderer: NVIDIA GeForce RTX
 3070/PCIe/SSE2 direct-render: Yes
Audio:
 Device-1: NVIDIA GA104 High Definition Audio vendor: ASUSTeK
 driver: snd_hda_intel bus-ID: 5-1:2 v: kernel chip-ID: 30be:1019 pcie:
 class-ID: 0102 gen: 4 speed: 16 GT/s lanes: 8 link-max: lanes: 16
 bus-ID: 0b:00.1 chip-ID: 10de:228b class-ID: 0403
 Device-2: AMD Oland/Hainan/Cape Verde/Pitcairn HDMI Audio [Radeon HD 7000
 Series] vendor: VISIONTEK driver: snd_hda_intel v: kernel pcie: gen: 3
 speed: 8 GT/s lanes: 8 link-max: lanes: 16 bus-ID: 0c:00.1
 chip-ID: 1002:aab0 class-ID: 0403
 Device-3: AMD Starship/Matisse HD Audio vendor: ASUSTeK
 driver: snd_hda_intel v: kernel pcie: gen: 4 speed: 16 GT/s lanes: 16
 bus-ID: 0e:00.4 chip-ID: 1022:1487 class-ID: 0403
 Device-4: Schiit Audio Unison Universal Dac type: USB driver: snd-usb-audio
 Device-5: JMTek LLC. Plugable USB Audio Device type: USB
 driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-2:3 chip-ID: 0c76:120b
 class-ID: 0300 serial: <filter>
 Device-6: ASUSTek ASUS AI Noise-Cancelling Mic Adapter type: USB
 driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-4:4 chip-ID: 0b05:194e
 class-ID: 0300 serial: <filter>
 Device-7: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo
 bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>
 Sound API: ALSA v: k6.1.12-1-MANJARO running: yes
 Sound Interface: sndio v: N/A running: no
 Sound Server-1: PulseAudio v: 16.1 running: no
 Sound Server-2: PipeWire v: 0.3.65 running: yes
Network:
 Device-1: Intel I211 Gigabit Network vendor: ASUSTeK driver: igb v: kernel
 pcie: gen: 1 speed: 2.5 GT/s lanes: 1 port: f000 bus-ID: 07:00.0
 chip-ID: 8086:1539 class-ID: 0200
 IF: enp7s0 state: up speed: 1000 Mbps duplex: full mac: <filter>
 IP v4: <filter> type: dynamic noprefixroute scope: global
 broadcast: <filter>
 IP v6: <filter> type: noprefixroute scope: link
 IF-ID-1: docker0 state: down mac: <filter>
 IP v4: <filter> scope: global broadcast: <filter>
 WAN IP: <filter>
Bluetooth:
 Device-1: Cambridge Silicon Radio Bluetooth Dongle (HCI mode) type: USB
 driver: btusb v: 0.8 bus-ID: 5-5.3:7 chip-ID: 0a12:0001 class-ID: e001
 Report: rfkill ID: hci0 rfk-id: 0 state: up address: see --recommends
Logical:
 Message: No logical block device data found.
 Device-1: luks-c847cf9f-c6b5-4624-a25e-4531e318851a maj-min: 254:2
 type: LUKS dm: dm-2 size: 3.64 TiB
 Components:
 p-1: sda1 maj-min: 8:1 size: 3.64 TiB
 Device-2: luks-swap maj-min: 254:1 type: LUKS dm: dm-1 size: 12 GiB
 Components:
 p-1: nvme0n1p2 maj-min: 259:2 size: 12 GiB
 Device-3: luks-disk maj-min: 254:0 type: LUKS dm: dm-0 size: 919.01 GiB
 Components:
 p-1: nvme0n1p3 maj-min: 259:3 size: 919.01 GiB
RAID:
 Message: No RAID data found.
Drives:
 Local Storage: total: 9.1 TiB used: 2.79 TiB (30.6%)
 SMART Message: Unable to run smartctl. Root privileges required.
 ID-1: /dev/nvme0n1 maj-min: 259:0 vendor: Western Digital
 model: WDS100T3X0C-00SJG0 size: 931.51 GiB block-size: physical: 512 B
 logical: 512 B speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter>
 rev: 111110WD temp: 53.9 C scheme: GPT
 ID-2: /dev/nvme1n1 maj-min: 259:4 vendor: Western Digital
 model: WDS100T2B0C-00PXH0 size: 931.51 GiB block-size: physical: 512 B
 logical: 512 B speed: 31.6 Gb/s lanes: 4 type: SSD serial: <filter>
 rev: 211070WD temp: 46.9 C scheme: GPT
 ID-3: /dev/sda maj-min: 8:0 vendor: Western Digital
 model: WD4005FZBX-00K5WB0 size: 3.64 TiB block-size: physical: 4096 B
 logical: 512 B speed: 6.0 Gb/s type: HDD rpm: 7200 serial: <filter>
 rev: 1A01 scheme: GPT
 ID-4: /dev/sdb maj-min: 8:16 vendor: Western Digital
 model: WD4005FZBX-00K5WB0 size: 3.64 TiB block-size: physical: 4096 B
 logical: 512 B speed: 6.0 Gb/s type: HDD rpm: 7200 serial: <filter>
 rev: 1A01 scheme: GPT
 ID-5: /dev/sdc maj-min: 8:32 type: USB vendor: SanDisk
 model: Gaming Xbox 360 size: 7.48 GiB block-size: physical: 512 B
 logical: 512 B type: N/A serial: <filter> rev: 8.02 scheme: MBR
 SMART Message: Unknown USB bridge. Flash drive/Unsupported enclosure?
 Message: No optical or floppy data found.
Partition:
 ID-1: / raw-size: 919.01 GiB size: 919.01 GiB (100.00%)
 used: 611.14 GiB (66.5%) fs: btrfs dev: /dev/dm-0 maj-min: 254:0
 mapped: luks-disk label: N/A uuid: N/A
 ID-2: /boot/efi raw-size: 512 MiB size: 511 MiB (99.80%)
 used: 40.2 MiB (7.9%) fs: vfat dev: /dev/nvme0n1p1 maj-min: 259:1 label: EFI
 uuid: 8922-E04D
 ID-3: /home raw-size: 919.01 GiB size: 919.01 GiB (100.00%)
 used: 611.14 GiB (66.5%) fs: btrfs dev: /dev/dm-0 maj-min: 254:0
 mapped: luks-disk label: N/A uuid: N/A
 ID-4: /run/media/sarah/ConvergentRefuge raw-size: 3.64 TiB
 size: 3.64 TiB (100.00%) used: 2.19 TiB (60.1%) fs: btrfs dev: /dev/dm-2
 maj-min: 254:2 mapped: luks-c847cf9f-c6b5-4624-a25e-4531e318851a
 label: ConvergentRefuge uuid: 7d295e73-4143-4eb1-9d22-75a06b1d2984
 ID-5: /run/media/sarah/MSS_EXtended raw-size: 475.51 GiB
 size: 475.51 GiB (100.00%) used: 1.48 GiB (0.3%) fs: btrfs
 dev: /dev/nvme1n1p1 maj-min: 259:5 label: MSS EXtended
 uuid: f98b3a12-e0e4-48c7-91c2-6e3aa6dcd32c
Swap:
 Kernel: swappiness: 60 (default) cache-pressure: 100 (default)
 ID-1: swap-1 type: partition size: 12 GiB used: 6.86 GiB (57.2%)
 priority: -2 dev: /dev/dm-1 maj-min: 254:1 mapped: luks-swap label: SWAP
 uuid: c8991364-85a7-4e6c-8380-49cd5bd7a873
Unmounted:
 ID-1: /dev/nvme1n1p2 maj-min: 259:6 size: 456 GiB fs: ntfs label: N/A
 uuid: 5ECA358FCA356485
 ID-2: /dev/sdb1 maj-min: 8:17 size: 3.64 TiB fs: ntfs
 label: JerichoVariance uuid: 1AB22D5664889CBD
 ID-3: /dev/sdc1 maj-min: 8:33 size: 3.57 GiB fs: iso9660
 ID-4: /dev/sdc2 maj-min: 8:34 size: 4 MiB fs: vfat label: MISO_EFI
 uuid: 5C67-4BF8
USB:
 Hub-1: 1-0:1 info: Hi-speed hub with single TT ports: 4 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Hub-2: 1-2:2 info: Hitachi ports: 4 rev: 2.1 speed: 480 Mb/s
 chip-ID: 045b:0209 class-ID: 0900
 Device-1: 1-2.4:3 info: Microsoft Xbox One Controller (Firmware 2015)
 type: <vendor specific="specific"> driver: xpad interfaces: 3 rev: 2.0 speed: 12 Mb/s
 power: 500mA chip-ID: 045e:02dd class-ID: ff00 serial: <filter>
 Hub-3: 2-0:1 info: Super-speed hub ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-4: 2-2:2 info: Hitachi ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 045b:0210 class-ID: 0900
 Hub-5: 3-0:1 info: Hi-speed hub with single TT ports: 1 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Hub-6: 3-1:2 info: VIA Labs Hub ports: 4 rev: 2.1 speed: 480 Mb/s
 power: 100mA chip-ID: 2109:3431 class-ID: 0900
 Hub-7: 3-1.2:3 info: VIA Labs VL813 Hub ports: 4 rev: 2.1 speed: 480 Mb/s
 chip-ID: 2109:2813 class-ID: 0900
 Hub-8: 4-0:1 info: Super-speed hub ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-9: 4-2:2 info: VIA Labs VL813 Hub ports: 4 rev: 3.0 speed: 5 Gb/s
 chip-ID: 2109:0813 class-ID: 0900
 Hub-10: 5-0:1 info: Hi-speed hub with single TT ports: 6 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Device-1: 5-1:2 info: Schiit Audio Unison Universal Dac type: Audio
 driver: snd-usb-audio interfaces: 2 rev: 2.0 speed: 480 Mb/s power: 500mA
 chip-ID: 30be:1019 class-ID: 0102
 Device-2: 5-2:3 info: JMTek LLC. Plugable USB Audio Device type: Audio,HID
 driver: hid-generic,snd-usb-audio,usbhid interfaces: 4 rev: 1.1
 speed: 12 Mb/s power: 100mA chip-ID: 0c76:120b class-ID: 0300
 serial: <filter>
 Device-3: 5-4:4 info: ASUSTek ASUS AI Noise-Cancelling Mic Adapter
 type: Audio,HID driver: hid-generic,snd-usb-audio,usbhid interfaces: 4
 rev: 1.1 speed: 12 Mb/s power: 100mA chip-ID: 0b05:194e class-ID: 0300
 serial: <filter>
 Hub-11: 5-5:5 info: Genesys Logic Hub ports: 4 rev: 2.0 speed: 480 Mb/s
 power: 100mA chip-ID: 05e3:0608 class-ID: 0900
 Device-1: 5-5.3:7 info: Cambridge Silicon Radio Bluetooth Dongle (HCI mode)
 type: Bluetooth driver: btusb interfaces: 2 rev: 2.0 speed: 12 Mb/s
 power: 100mA chip-ID: 0a12:0001 class-ID: e001
 Hub-12: 5-6:6 info: Genesys Logic Hub ports: 4 rev: 2.0 speed: 480 Mb/s
 power: 100mA chip-ID: 05e3:0608 class-ID: 0900
 Hub-13: 6-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-14: 7-0:1 info: Hi-speed hub with single TT ports: 6 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Device-1: 7-2:2 info: SanDisk Cruzer Micro Flash Drive type: Mass Storage
 driver: usb-storage interfaces: 1 rev: 2.0 speed: 480 Mb/s power: 200mA
 chip-ID: 0781:5151 class-ID: 0806 serial: <filter>
 Device-2: 7-4:3 info: ASUSTek AURA LED Controller type: HID
 driver: hid-generic,usbhid interfaces: 2 rev: 2.0 speed: 12 Mb/s power: 16mA
 chip-ID: 0b05:18f3 class-ID: 0300 serial: <filter>
 Hub-15: 8-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s
 chip-ID: 1d6b:0003 class-ID: 0900
 Hub-16: 9-0:1 info: Hi-speed hub with single TT ports: 4 rev: 2.0
 speed: 480 Mb/s chip-ID: 1d6b:0002 class-ID: 0900
 Hub-17: 9-1:2 info: Terminus FE 2.1 7-port Hub ports: 7 rev: 2.0
 speed: 480 Mb/s power: 100mA chip-ID: 1a40:0201 class-ID: 0900
 Device-1: 9-1.1:4 info: Sunplus Innovation Gaming mouse [Philips SPK9304]
 type: Mouse driver: hid-generic,usbhid interfaces: 1 rev: 2.0 speed: 1.5 Mb/s
 power: 98mA chip-ID: 1bcf:08a0 class-ID: 0301
 Device-2: 9-1.5:6 info: Microdia Backlit Gaming Keyboard
 type: Keyboard,Mouse driver: hid-generic,usbhid interfaces: 2 rev: 2.0
 speed: 12 Mb/s power: 400mA chip-ID: 0c45:652f class-ID: 0301
 Device-3: 9-1.6:7 info: HUION H420 type: Mouse,HID driver: uclogic,usbhid
 interfaces: 3 rev: 1.1 speed: 12 Mb/s power: 100mA chip-ID: 256c:006e
 class-ID: 0300
 Hub-18: 9-1.7:8 info: Terminus Hub ports: 4 rev: 2.0 speed: 480 Mb/s
 power: 100mA chip-ID: 1a40:0101 class-ID: 0900
 Device-1: 9-2:3 info: Microdia USB 2.0 Camera type: Video,Audio
 driver: snd-usb-audio,uvcvideo interfaces: 4 rev: 2.0 speed: 480 Mb/s
 power: 500mA chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>
 Device-2: 9-4:11 info: VKB-Sim © Alex Oz 2021 VKBsim Gladiator EVO L
 type: HID driver: hid-generic,usbhid interfaces: 1 rev: 2.0 speed: 12 Mb/s
 power: 500mA chip-ID: 231d:0201 class-ID: 0300
 Hub-19: 10-0:1 info: Super-speed hub ports: 4 rev: 3.1 speed: 10 Gb/s
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Sensors:
 System Temperatures: cpu: 38.0 C mobo: 41.0 C
 Fan Speeds (RPM): fan-1: 702 fan-2: 747 fan-3: 938 fan-4: 889 fan-5: 3132
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 GPU: device: nvidia screen: :0.0 temp: 49 C fan: 0% device: radeon
 temp: 53.0 C
Info:
 Processes: 842 Uptime: 3h 11m wakeups: 0 Init: systemd v: 252
 default: graphical tool: systemctl Compilers: gcc: 12.2.1 alt: 10/11
 clang: 15.0.7 Packages: 2158 pm: pacman pkgs: 2110 libs: 495 tools: pamac,yay
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Google Analytics 4 (GA4) vs Universal Analytics (UA)
24 janvier 2022, par Erin — Analytics TipsMarch 2022 Update : It’s official ! Google announced that Universal Analytics will no longer process any new data as of 1 July 2023. Google is now pushing Universal Analytics users to switch to the latest version of GA – Google Analytics 4.
Currently, Google Analytics 4 is unable to accept historical data from Universal Analytics. Users need to take action before July 2022, to ensure they have 12 months of data built up before the sunset of Universal Analytics
So how do Universal Analytics and Google Analytics 4 compare ? And what alternative options do you have ? Let’s dive in.
In this blog, we’ll cover :
What is Google Analytics 4 ?
In October 2020, Google launched Google Analytics 4, a completely redesigned analytics platform. This follows on from the previous version known as Universal Analytics (or UA).
Amongst its touted benefits, GA4 promises a completely new way to model data and even the ability to predict future revenue.
However, the reception of GA4 has been largely negative. In fact, some users from the digital marketing community have said that GA4 is awful, unusable and so bad it can bring you to tears.
Gill Andrews via Twitter Google Analytics 4 vs Universal Analytics
There are some pretty big differences between Google Analytics 4 and Universal Analytics but for this blog, we’ll cover the top three.
1. Redesigned user interface (UI)
GA4 features a completely redesigned UI to Universal Analytics’ popular interface. This dramatic change has left many users in confusion and fuelled some users to declare that “most of the time you are going round in circles to find what you’re looking for.”
Mike Huggard via Twitter 2. Event-based tracking
Google Analytics 4 also brings with it a new data model which is purely event-based. This event-based model moves away from the typical “pageview” metric that underpins Universal Analytics.
3. Machine learning insights
Google Analytics 4 promises to “predict the future behavior of your users” with their machine-learning-powered predictive metrics. This feature can “use shared aggregated and anonymous data to improve model quality”. Sounds powerful, right ?
Unfortunately, it only works if at least 1,000 returning users triggered the relevant predictive condition over a seven-day period. Also, if the model isn’t sustained over a “period of time” then it won’t work. And according to Google, if “the model quality for your property falls below the minimum threshold, then Analytics will stop updating the corresponding predictions”.
This means GA4’s machine learning insights probably won’t work for the majority of analytics users.
Ultimately, GA4 is just not ready to replace Google’s Universal Analytics for most users. There are too many missing features.
What’s missing in Google Analytics 4 ?
Quite a lot. Even though it offers a completely new approach to analytics, there are a lot of key features and functions missing in GA4.
Behavior Flow
The Behavior Flow report in Universal Analytics helps to visualise the path users take from one page or Event to the next. It’s extremely useful when you’re looking for quick and clear insight. But it no longer exists in Google Analytics 4, and instead, two new overcomplicated reports have been introduced to replace it – funnel exploration report and path exploration report.
The decision to remove this critical report will leave many users feeling disappointed and frustrated.
Limitations on custom dimensions
You can create custom dimensions in Google Analytics 4 to capture advanced information. For example, if a user reads a blog post you can supplement that data with custom dimensions like author name or blog post length. But, you can only use up to 50, and for some that will make functionality like this almost pointless.
Machine learning (ML) limitations
Google Analytics 4 promises powerful ML insights to predict the likelihood of users converting based on their behaviors. The problem ? You need 1,000 returning users in one week. For most small-medium businesses this just isn’t possible.
And if you do get this level of traffic in a week, there’s another hurdle. According to Google, if “the model quality for your property falls below the minimum threshold, then GA will stop updating the corresponding predictions.” To add insult to injury Google suggests that this might make all ML insights unavailable. But they can’t say for certain…
Views
One cornerstone of Universal Analytics is the ability to configure views. Views allow you to set certain analytics environments for testing or cleaning up data by filtering out internal traffic, for example.
Views are great for quickly and easily filtering data. Preset views that contain just the information you want to see are the ideal analytics setup for smaller businesses, casual users, and do-it-yourself marketing departments.
Via Reddit There are a few workarounds but they’re “messy [,] annoying and clunky,” says a disenfranchised Redditor.
Another helpful Reddit user stumbled upon an unhelpful statement from Google. Google says that they “do not offer [the views] feature in Google Analytics 4 but are planning similar functionality in the future.” There’s no specific date yet though.
Bounce rate
Those that rely on bounce rate to understand their site’s performance will be disappointed to find out that bounce rate is also not available in GA4. Instead, Google is pushing a new metric known as “Engagement Rate”. With this metric, Google now uses their own formula to establish if a visitor is engaged with a site.
Lack of integration
Currently, GA4 isn’t ready to integrate with many core digital marketing tools and doesn’t accept non-Google data imports. This makes it difficult for users to analyse ROI and ROAS for campaigns measured in other tools.
Content Grouping
Yet another key feature that Google has done away with is Content Grouping. However, as with some of the other missing features in GA4, there is a workaround, but it’s not simple for casual users to implement. In order to keep using Content Grouping, you’ll need to create event-scoped custom dimensions.
Annotations
A key feature of Universal Analytics is the ability to add custom Annotations in views. Annotations are useful for marking dates that site changes were made for analysis in the future. However, Google has removed the Annotations feature and offered no alternative or workaround.
Historical data imports are not available
The new approach to data modelling in GA4 adds new functionality that UA can’t match. However, it also means that you can’t import historical UA data into GA4.
Google’s suggestion for this one ? Keep running UA with GA4 and duplicate events for your GA4 property. Now you will have two different implementations running alongside each other and doing slightly different things. Which doesn’t sound like a particularly streamlined solution, and adds another level of complexity.
Should you switch to Google Analytics 4 ?
So the burning question is, should you switch from Universal Analytics to Google Analytics 4 ? It really depends on whether you have the available resources and if you believe this tool is still right for your organisation. At the time of writing, GA4 is not ready for day-to-day use in most organisations.
If you’re a casual user or someone looking for quick, clear insights then you will likely struggle with the switch to GA4. It appears that the new Google Analytics 4 has been designed for enterprise-scale businesses with large internal teams of analysts.
Micah Fisher-Kirshner via Twitter Unfortunately, for most casual users, business owners and do-it-yourself marketers there are complex workarounds and time-consuming implementations to handle. Ultimately, it’s up to you to decide if the effort to migrate and relearn GA is worth it.
Right now is the best time to draw the line and make a decision to either switch to GA4 or look for a better alternative to Google Analytics.
Google Analytics alternative
Matomo is one of the best Google Analytics alternatives offering an easy to use design with enhanced insights on our Cloud, On-Premise and on Matomo for WordPress solutions.
Mark Samber via Twitter Matomo is an open-source analytics solution that provides a comprehensive, user-friendly and compliance-focused alternative to both Google Analytics 4 and Universal Analytics.
The key benefits of using Matomo include :
- Easy to use – Matomo provides a simpler interface and understandable KPIs. See for yourself with our live demo.
- Compliance – Future-proof your tech stack for looming privacy regulations. Matomo covers all of your ePrivacy, GDPR, HIPAA, CCPA, and PECR data compliance requirements.
- Data privacy and ownership – Your analytics data is 100% yours to own, with no external parties looking in.
- Flexible, all-in-one solution – Get features like A/B Testing, Heatmaps, Session Recordings, SEO Web Vitals, Tag Manager, Media Analytics, Search Engine Keyword Performance, custom reports and much more.
- Integrations galore – Expand your Matomo capabilities by adding integrations from over 100 leading technologies.
Plus, unlike GA4, Matomo will accept your historical data from UA so you don’t have to start all over again. Check out our 7 step guide to migrating from Google Analytics to find out how.
Getting started with Matomo is easy. Check out our live demo and start your free 21-day trial. No credit card required.
In addition to the limitations and complexities of GA4, there are many other significant drawbacks to using Google Analytics.
Google’s data ethics are a growing concern of many and it is often discussed in the mainstream media. In addition, GA is not GDPR compliant by default and has resulted in 200k+ data protection cases against websites using GA.
What’s more, the data that Google Analytics actually provides its end-users is extrapolated from samples. GA’s data sampling model means that once you’ve collected a certain amount of data Google Analytics will make educated guesses rather than use up its server space collecting your actual data.
The reasons to switch from Google Analytics are rising each day.
Wrap up
The now required update to GA4 will add new layers of complexity, which will leave many casual web analytics users and marketers wondering if there’s a better way. Luckily there is. Get clear insights quickly and easily with Matomo – start your 21-day free trial now.
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Privacy-friendly analytics : The benefits of an ethical, GDPR-compliant platform
13 juin, par JoeYour visitors shouldn’t feel like you’re spying on them — even if you’re just trying to improve the user experience or track your marketing efforts.
While many analytics platforms make customers feel that way thanks to intrusive cookie consent banners and highly personalised ads, there is a growing movement towards ethical, privacy-friendly analytics.
In this article, you’ll learn what privacy-friendly analytics is, why it matters, what to look for in a solution and which of the leading providers is right for you.
What is privacy-friendly analytics ?
Privacy-friendly analytics is a form of website analytics that collects and analyses data in a way that respects the user’s privacy. It’s a type of ethical web analytics.
Privacy-friendly platforms limit personal data collection and anonymise individual user data while being transparent about collection and tracking methods. They help companies adhere to data protection laws (like GDPR, CCPA, and HIPAA) and new privacy laws (like OCPA, FDBR, and TDPSA) without configuring custom settings.
Why use privacy-friendly analytics ?
Millions of businesses choose privacy-friendly analytics platforms like Matomo. Here are a few reasons why :
Build trust with customers
Research shows that the vast majority of consumers don’t trust companies with their data, believing that they prioritise profits over data protection.
Privacy-friendly analytics can help businesses prove they aren’t out to profit from consumer data and regain customer trust. This can ultimately boost revenue. According to Cisco’s Data Privacy Benchmark Study, organisations gain $180 for every $100 spent on privacy.
Comply with privacy regulations
Data privacy regulations, such as GDPR, protect consumer privacy and establish strict rules governing how businesses can collect and use personal data.
The cost of non-compliance is high. Under GDPR, fines can be up to €20 million, or 4% of worldwide annual revenue.
Thanks to features like data anonymisation and the default use of first-party cookies, privacy-friendly analytics platforms can support and strengthen compliance efforts.
In fact, the French Data Protection Authority (CNIL) approved Matomo as one of the only web analytics tools to collect data without tracking consent.
Minimise the impact of a breach
According to IBM’s Cost of a Data Breach report, the average cost of a data breach is nearly $4.5 million. The more personally identifiable information (PII) is involved, the higher the fines and penalties.
A privacy-friendly analytics tool can reduce the potential impact of a breach by minimising the amount of personal information you hold.
Is Google Analytics privacy-friendly ?
Google may be the best-known analytics platform, but it’s not the best choice for businesses that want to collect data responsibly and ethically.
Here are just a few of Google Analytics’s privacy issues :
- It uses analytics data to run its advertising business.
- It may train large language models like Gemini with analytics data.
- It requires a specific setup to be GDPR compliant that isn’t available out of the box.
Google Analytics’s ongoing issues with privacy laws like GDPR also raise doubt. The French and Austrian Data Protection Authorities have banned Google Analytics in the past, and there is no guarantee they won’t do so again.
What to look for in privacy-friendly analytics ?
Several privacy-friendly analytics tools are available. To find the right one for your brand, look for the following features.
Data ownership
Choose a provider that gives you as much control over your users’ data as possible. Ideally, this will be via an on-site solution where you store data on your servers. For cloud-based options, ensure your analytics provider can’t access, use or sell it.
With 100% data ownership, you have the power to protect your users’ privacy. You know where your customer data is stored and what’s happening to it without external influence.
Open source
The only genuinely privacy-friendly software is open-source software. Open-source software means anyone can review the code to ensure it does what it promises — in this case, maximising privacy.
Matomo is an open-source software company. Our source code is on GitHub, where everyone can see precisely how our platform tracks and stores user data. A community of developers also regularly examines and reviews our code to further strengthen security.
Data anonymisation
Privacy-friendly analytics should allow marketers to completely anonymise the data they collect. They achieve this through several techniques like IP anonymisation and pseudonymised user IDs that modify or remove personally identifiable data so it can’t be linked to individuals.
Matomo’s data anonymisation settings
In Matomo, for example, you can anonymise the following things in the platform’s Privacy settings :
- IP address
- Location
- User ID
IP address anonymisation is enabled by default in Matomo.
No data sampling
Data sampling involves extrapolating analytics reports from an incomplete data set. Google Analytics uses this practice and relies on estimates, leading to incomplete and potentially inaccurate results.
Privacy-friendly analytics should provide 100% accurate insights without making assumptions about your users’ data.
GDPR compliance
Privacy-friendly web analytics platforms adhere to even the strictest privacy laws, including GDPR, HIPAA and CCPA, thanks to the following features :
- Data anonymisation
- Cookieless tracking
- EU data storage
- First-party cookies by default
Matomo data subject access request settings
(Image Source)Privacy-first platforms also make it easy for companies to fulfil data subject access requests. In Matomo, for example, a dedicated feature lets you find, download and delete all of the data you hold about specific individuals.
Cookieless tracking
Cookieless tracking is a form of visitor tracking that uses methods other than cookies to identify individual users. It is more privacy-friendly because no personal data is collected, and users can withhold consent from cookie banners.
Matomo uses the most privacy-friendly industry-leading cookieless tracking method, config_id, to anonymously track visitors without fingerprinting them.
Top 3 privacy-friendly analytics platforms
We’ve shortlisted three of the leading privacy-friendly analytics platforms. Learn what they offer, what makes them different and how much they cost.
Matomo
Matomo is an open-source web analytics tool and privacy-focused Google Analytics alternative trusted by over one million sites in over 190 countries and over 50 languages.
Matomo dashboard
Matomo prioritises privacy and keeping businesses compliant with global privacy regulations like GDPR, CCPA and HIPAA. The data you collect is 100% accurate and yours alone. We don’t share it or use it for other purposes.
Benefits
- Matomo’s all-in-one solution offers traditional web and behavioural analytics, such as heatmaps and session recordings. It also includes a free, open-source tag manager.
- Matomo gives you the choice of where to store your user’s data. With Matomo Cloud, that’s in our European servers. With Matomo On-Premise, that’s on your servers.
- Matomo is open-source. Hundreds of independent developers have reviewed our code, and you can view it yourself on GitHub.
Pricing
Hosting Matomo On-Premise is free, while Matomo Cloud costs $26 per month.
Fathom
Fathom Analytics is a simple, easy-to-use alternative to Google Analytics that puts a premium on privacy.
Fathom dashboard
(Image Source)Fathom has made its platform as easy to use as possible. You can install Fathom on any website or CMS using a single line of code. It also means the platform won’t massively impact your site’s speed or SEO performance.
Benefits
- Fathom complies with all major privacy regulations, including GDPR and CCPA.
- Fathom doesn’t sample data. It also blocks bots and scrapers, so you only see human visitors.
- Fathom anonymises IP addresses, so you don’t have to show cookie banners.
Drawbacks
- Fathom doesn’t offer many of Matomo’s advanced features like e-commerce tracking, heatmaps, and session recordings.
- The premium version of Fathom is not open-source.
Pricing
From $15 per month.
Plausible
Plausible Analytics is an open-source, privacy-friendly analytics tool built and hosted in the EU.
Plausible dashboard
(Image Source)The platform launched in 2019 as a lightweight, easy-to-use alternative to Google Analytics. Its simplicity is a big selling point. Instead of dozens of menus, it presents the information you need on a single page.
Benefits
- Plausible boasts an ultra-lightweight script, which means it has a minimal impact on page loading times.
- Plausible is GDPR and CCPA-compliant by design, so there’s no need for cookie banners.
- Plausible is an open-source software with the source code available on GitHub.
Drawbacks
- Plausible lacks advanced privacy controls like a GDPR manager.
- It has none of Matomo’s advanced features like A/B testing, session recordings or heatmaps.
Pricing
From $9 per month
Try Matomo for free
Ready to try a privacy-friendly analytics solution ? Making the switch is easy with Matomo, as it’s one of the only platforms to import historical Google Analytics data. You can also try Matomo for free for 21 days — no credit card required.
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