This is a small tool built with neofetch/fastfetch, ffmpeg and chafa. It allows you to use neofetch or fastfetch while having animations.
Recommended Python version: 3.12 and later
You need the following tools installed on your system:
-
bc
- Debian/Ubuntu:
sudo apt install bc
- Arch:
sudo pacman -S bc
- Debian/Ubuntu:
-
chafa
- Debian/Ubuntu:
sudo apt install chafa
- Other distros β Download Instructions
- Debian/Ubuntu:
-
ffmpeg
(for video/audio playback)- Debian/Ubuntu:
sudo apt install ffmpeg
- Other systems β Download
- Debian/Ubuntu:
ffplay
is included in your ffmpeg
installation (used for optional sound playback).
π§ Make sure pipx
is installed:
sudo apt install pipx
pipx ensurepath
and then:
pipx install git+https://github.com/Notenlish/anifetch.git
This installs anifetch
in an isolated environment, keeping your system Python clean.
You can then run the anifetch
command directly in your terminal.
Since pipx installs packages in an isolated environment, you won't have to worry about dependency conflicts or polluting your global python environment. anifetch
will behave just like a native cli tool. You can upgrade your installation with pipx upgrade anifetch
βοΈ Add the anifetch repo as a flake input:
{
inputs = {
anifetch = {
url = "github:Notenlish/anifetch";
inputs.nixpkgs.follows = "nixpkgs";
};
};
}
Remember to add:
specialArgs = {inherit inputs;};
to your nixos configuration, like I've done here on my system:
nixosConfigurations = {
Enlil = nixpkgs.lib.nixosSystem {
specialArgs = {inherit inputs outputs;};
Add anifetch to your packages list like so:
{inputs, pkgs, ...}: {
environment.systemPackages = with pkgs; [
inputs.anifetch.packages.${pkgs.system}.default
fastfetch # Choose either fastfetch or neofetch to run anifetch with
neofetch
];
}
Add the overlay to nixpkgs overlays, then add the package to your package list as you would a package from the normal nixpkgs repo.
{inputs, pkgs, ...}: {
nixpkgs = {
overlays = [
inputs.anifetch.overlays.anifetch
];
};
environment.systemPackages = with pkgs; [
anifetch
fastfetch # Choose either fastfetch or neofetch to run anifetch with
neofetch
];
}
The Nix package contains all the dependencies in a wrapper script for the application aside from fastfetch or neofetch, so you should only need to add one of those to your package list as well.
After you've done these steps, rebuild your system.
git clone https://github.com/Notenlish/anifetch.git
cd anifetch
python3 -m venv venv
source venv/bin/activate
pip install -e .
This installs anifetch
in editable mode within a local virtual environment for development.
You can then run the program in two ways:
- As a CLI:
anifetch
- Or as a module:
python3 -m anifetch
(useful for debugging or internal testing)
pip install
outside a virtual environment on systems like Ubuntu.
This is restricted by PEP 668 to protect the system Python.
On Nix you can run:
nix develop
pip install -e .
inside the anifetch dir after cloning the repo. This creates a python venv you can re-enter by running nix develop
inside the project dir.
You don't need to configure anything for fastfetch
or neofetch
. If they already work on your machine, anifetch
will detect and use them automatically. Please note that one of these must be installed, otherwise anifetch won't work. To use fastfetch, you must append -ff
to the anifetch command.
Place your video or gif file anywhere (e.g. your project folder). If you give a relative path then you must be in the correct folder. Anifetch is packaged with an example.mp4
video by default. You can use that to test anifetch.
Any video file you give to anifetch will be stored in ~/.local/share/anifetch/assets
folder for linux and C:\\Users\\[Username]\\AppData\\Local\\anifetch\\anifetch\\assets
folder for windows. After running anifetch
with this video file once, next time use anifetch, you will be able to use that same video file in any location by just using its filename, since the video file has been saved in /assets
.
anifetch video.mp4 -r 10 -W 40 -H 20 -c "--symbols wide --fg-only"
Note : by default, the video example.mp4
can directly be used as an example.
-f
/--file
: path to the video file (the path can be added without the-f
argument)-s
/--sound
: optional sound file to play alongside (requiresffplay
)-r
/--framerate
: frame rate of playback-W
/--width
: video width-H
/--height
: video height (may be automatically fixed with the width)-c
/--chafa
: extra arguments to pass tochafa
-C
/--center
: centers the terminal animation vertically-ff
/--fast-fetch
: usesfastfetch
instead ofneofetch
if available-fr
/--force-render
: Forcefully re-renders the animation while not caring about the cache. Useful if the cache is broken.
Anifetch automatically caches rendered animations to speed up future runs. Each unique combination of video and render options generates a cache stored in ~/.local/share/anifetch/
, organized by hash. This includes frames, output, and audio.
Cache-related commands:
anifetch --cache-list
β View all cached configurations and orders them.
anifetch --cache-delete <number>
β Delete a specific cache.
anifetch --clear
β Delete all cached files.
Note that modifying the content of a video file but keeping the same name makes Anifetch still use the old cache. In that case, use --force-render
to bypass the cache and generate a new version.
For full help:
anifetch --help
Here's the benchmark from running each cli 10 times. Tested on Linux Mint with Intel I5-12500H.
CLI | Time Taken(total) | Time Taken (avg) |
---|---|---|
neofetch | 4.996 seconds | 0.500 seconds |
fastfetch | 0.083 seconds | 0.008 seconds |
anifetch(nocache)(neofetch) | 77.071 seconds | 7.707 seconds |
anifetch(cache)(neofetch) | 5.348 seconds | 0.535 seconds |
anifetch(nocache)(fastfetch) | 73.414 seconds | 7.341 seconds |
anifetch(cache)(fastfetch) | 0.382 seconds | 0.038 seconds |
As it can be seen, Anifetch is quite fast if you cache the animations, especially when paired with fastfetch.
Make sure to install the dependencies listed on Prerequisites. If ffmpeg throws an error saying libxm12.so.16: cannot open shared object file: No such file or directory exists
then you must install libxm12
. Here's an comment showing how to install it for arch: https://github.com/Notenlish/anifetch/issues/24#issuecomment-2920189918
Anifetch attempts to cache the animation so that it doesn't need to render them again when you run it with the same file. However, if the name of the file is the same, but it's contents has changed, it won't re-render it. In that case, you will need to add --force-render
as an argument to anifetch.py
so that it re-renders it. You only have to do this only once when you change the file contents.
Also, ffmpeg can generate the the same image for 2 consecutive frames, which may make it appear like it's stuttering. Try changing the framerate if that happens. Or just increase the playback rate.
Seperating video into frames takes some time and can potentially use up a lot of space during caching. After caching is done the video images will be deleted. Also note that you need to set the same framerate as the audio when playing a video. Otherwise video and audio will desync.
If you set animation resolution really big it may not be able to keep up with the audio. I have plans for optimizing the script so this is less of an issues.
Currently only the symbols
format of chafa is supported, formats like kitty, iterm etc. are not supported. If you try to tell chafa to use iterm, kitty etc. it will just override your format with symbols
mode.
-
Add music support
-
Cache chafa output
-
Make it faster
-
Only save the template + animation frames, dont save the animation frames with the layout applied to them.
-
Add fastfetch support.
-
Instead of just saving the filename for cache validation, save the width and height as well.
-
Seperate frame generation framerate(ffmpeg) and video playback framerate
-
Fix audio sync issues.
-
Add an info text that updates itself when caching.
-
Allow setting ffmpeg args.
-
Use threading when seperating video into frames and process them with chafa at the same time. This should speed up caching significantly.
-
Fix transparent video frame seperation.
-
Figure out a way to display animations faster. Either optimize the bash script or use Python/C.
-
Support different formats like iterm, kitty, sixel etc.
-
Allow the user to provide their own premade frames in a folder instead of an video.
-
Update the animated logo on the readme so that its resolution is smaller + each individual symbol is bigger.
-
Create an installer bash script to provide an easy installation option for people.
-
Add an option to generate an mp4 with the terminal rendered animation(for putting it as a desktop background)
Devs can use additional tools in the tools
folder in order to test new features from Anifetch.
Neofetch: Neofetch
I got the base neofetch config from here, spesifically the Bejkon 2 config file: Neofetch Themes by Chick2D
I'd like to thank Pewdiepie for creating his Linux video. I got the inspiration for this tool from his video. Video