Microfetch

Microscopic fetch tool in Rust, for NixOS systems, with special emphasis on speed

Synopsis
Features | Motivation | Benchmarks
Installation

Synopsis

Stupidly small and simple, laughably fast and pretty fetch tool. Written in Rust for speed and ease of maintainability. Runs in a fraction of a millisecond and displays most of the nonsense you'd see posted on r/unixporn or other internet communities. Aims to replace fastfetch on my personal system, but probably not yours. Though, you are more than welcome to use it on your system: it is pretty fast...

Features

• Fast
• Really fast
• Minimal dependencies
• Tiny binary (~370kb ¹)
• Actually really fast
• Cool NixOS logo (other, inferior, distros are not supported)
• Reliable detection of following info:
  • Hostname/Username
  • Kernel
    • Name
    • Version
    • Architecture
  • Current shell (from $SHELL, trimmed if store path)
  • Current Desktop (DE/WM/Compositor and display backend)
  • Memory Usage/Total Memory
  • Storage Usage/Total Storage (for / only)
  • Shell Colors
• Did I mention fast?
• Respects NO_COLOR spec
• Funny ²

Motivation

Fastfetch, as its name probably already hinted, is a very fast fetch tool written in C. I used to use Fastfetch on my systems, but I eventually came to the realization that I am not interested in any of its additional features. I don't use Sixel, I don't change my configuration more than maybe once a year and I don't even display most of the fields that it does. Sure the configurability is nice and I can configure the defaults that I do not like but how often do I really do that?

Since I already enjoy programming challenges, and don't use a fetch program that often, I eventually came to try and answer the question how fast can I make my fetch script? It is an even faster fetch tool that I would've written in Bash and put in my ~/.bashrc but is actually incredibly fast because it opts out of all the customization options provided by tools such as Fastfetch. Since Fetch scripts are kind of a coming-of-age ritual for most Linux users, I've decided to use it on my system. You also might be interested if you like the defaults and like speed.

Ultimately, it's a small, opinionated binary with a nice size that doesn't bother me, and incredible speed. Customization? No thank you. I cannot re-iterate it enough, Microfetch is annoyingly fast. It does not, however, solve a technical problem. The "problem" Microfetch solves is entirely self-imposed. On the matter of size, the project is written in Rust, which comes at the cost of "bloated" dependency trees and the increased build times, but we make an extended effort to keep the dependencies minimal and build times manageable. The latter is also very easily mitigated with Nix's binary cache systems. Since Microfetch is already in Nixpkgs, you are recommended to use it to utilize the binary cache properly. The usage of Rust is nice, however, since it provides us with incredible tooling and a very powerful language that allows for Microfetch to be as fast as possible. Sure C could've been used here as well, but do you think I hate myself? Microfetch now features handwritten assembly to unsafely optimize some areas. In hindsight you all should have seen this coming. Is it faster? Yes. Should you use this? If you want to.

Also see: Rube-Goldmark Machine

Benchmarks

Below are the benchmarks that I've used to back up my claims of Microfetch's speed. It is fast, it is very fast and that is the point of its existence. It could be faster, and it will be. Eventually.

At this point in time, the performance may be sometimes influenced by hardware-specific race conditions or even your kernel configuration. Which means that Microfetch's speed may (at times) depend on your hardware setup. However, even with the worst possible hardware I could find in my house, I've achieved a nice less-than-1ms invocation time. Which is pretty good. While Microfetch could be made faster, we're in the territory of environmental bottlenecks given how little Microfetch actually allocates.

Below are the actual benchmarks with Hyperfine measured on my Desktop system. The benchmarks were performed under medium system load, and may not be the same on your system. Please also note that those benchmarks will not be always kept up to date, but I will try to update the numbers as I make Microfetch faster.

Command	Mean [µs]	Min [µs]	Max [µs]	Relative	Written by raf?
microfetch	604.4 ± 64.2	516.0	1184.6	1.00	Yes
fastfetch	140836.6 ± 1258.6	139204.7	143299.4	233.00 ± 24.82	No
pfetch	177036.6 ± 1614.3	174199.3	180830.2	292.89 ± 31.20	No
neofetch	406309.9 ± 1810.0	402757.3	409526.3	672.20 ± 71.40	No
nitch	127743.7 ± 1391.7	123933.5	130451.2	211.34 ± 22.55	No
macchina	13603.7 ± 339.7	12642.9	14701.4	22.51 ± 2.45	No

The point stands that Microfetch is significantly faster than every other fetch tool I have tried. This is to be expected, of course, since Microfetch is designed explicitly for speed and makes some tradeoffs to achieve its signature speed.

Important

Some tools are excluded. Yes, I know. If you think they are important and thus should be covered in the benchmarks, feel free to create an issue. The purpose of this benchmarks section is not to badmouth other projects, but to demonstrate how much faster Microfetch is in comparison. Obviously Microfetch is designed to be small (in the sense of scope) and fast (in every definition of the word) so I speak of Microfetch's speed as a fact rather than an advantage. Reddit has a surprising ability to twist words and misunderstand ideals.

Benchmarking Individual Functions

To benchmark individual functions, Criterion.rs is used. See Criterion's Getting Started Guide for details or just run cargo bench to benchmark all features of Microfetch.

Profiling Allocations and Timing

Microfetch uses Hotpath for profiling function execution timing and heap allocations. This helps identify performance bottlenecks and track optimization progress. It is so effective that thanks to Hotpath, Microfetch has seen a 60% reduction in the number of allocations.

To profile timing:

HOTPATH_JSON=true cargo run --features=hotpath

To profile allocations:

HOTPATH_JSON=true cargo run --features=hotpath,hotpath-alloc

The JSON output can be analyzed with the hotpath CLI tool for detailed performance metrics. On pull requests, GitHub Actions automatically profiles both timing and allocations, posting comparison comments to help catch performance regressions.

Installation

Note

You will need a Nerd Fonts patched font installed, and for your terminal emulator to support said font. Microfetch uses Nerd Fonts glyphs by default, but this can be changed by patching the program.

Microfetch is packaged in nixpkgs. It can be installed by adding pkgs.microfetch to your environment.systemPackages. Additionally, you can try out Microfetch in a Nix shell or install it using flakes on non-NixOS systems.

# Enter a Nix shell with Microfetch; this will be lost on the next GC
nix shell nixpkgs#microfetch

# Install Microfetch globally; this will be kept on GC
nix profile add nixpkgs#microfetch

Or run it directly with nix run

# Run Microfetch from Nixpkgs. Subsequent runs will be faster.
nix run nixpkgs#microfetch

Non-Nix users, if they plan to run this for some reason, will need to build Microfetch from source or install it with cargo. Microfetch is published on crates.io and can be installed with cargo install.

# Get Microfetch from crates.io
cargo install microfetch

Other Distros

To my knowledge, there is no package for (nor a reason to package) Microfetch but if you run a patched version for your distribution, feel free to leave your repository (AUR, COPR, etc.) here as reference for those that might be interested in Microfetch tailored to their distributions.

Customizing

You can't*.

Why?

Customization, of most kinds, is "expensive": I could try reading environment variables, parse command-line arguments or read a configuration file to allow configuring various fields but those inflate execution time and the resource consumption by a lot. Since Microfetch is closer to a code golf challenge than a program that attempts to fill a gap, I have elected not to make this trade. This is, of course, not without a solution.

Really?

To be fair, you can customize Microfetch by, well, patching it. It is certainly not the easiest way of doing so but if you are planning to change something in Microfetch, patching is the best way to go. It will also be the only way that does not compromise on speed, unless you patch in bad code. Various users have adapted Microfetch to their distribution of choice by patching the main module and inserting the logo of their choice. This is also the best way to go if you plan to make small changes. If your changes are not small, you might want to look for a program that is designed to be customizable; Microfetch is built for maximum performance and little else.

The Nix package allows passing patches in a streamlined manner by passing .overrideAttrs to the derivation. You can apply your patches in patches and share your derivations with people. Feel free to use the discussions tab to share your own variants of Microfetch!

Contributing

I will, mostly, reject feature additions. This is not to say you should avoid them altogether, as you might have a really good idea worth discussing but as a general rule of thumb consider talking to me before creating a feature PR.

Contributions that help improve performance in specific areas of Microfetch are welcome. Though, prepare to be bombarded with questions if your changes are large.

Hacking

A Nix flake is provided. You may use nix develop to get started. Direnv users may instead run direnv allow to get a complete environment with shell integration.

Non-Nix user will need cargo, clang and mold installed on their system to build Microfetch. As Mold seems to yield slightly better results than the default linker, it has been set as the default in .cargo/config.toml for x86-64 Linux. You may override those defaults using the RUSTFLAGS environment variable. For example:

# Use ld instead of Mold
$ RUSTFLAGS="-C linker=/path/to/ld.lld" cargo build

Thanks

Huge thanks to everyone who took the time to make pull requests or nag me in person about current issues. To list a few, special thanks to:

• @Nydragon - For packaging Microfetch in Nixpkgs
• @ErrorNoInternet - Performance improvements and code assistance
• @SoraTenshi - General tips and code improvements
• @bloxx12 - Performance improvements and benchmarking plots
• @sioodmy - Being cute
• @mewoocat - The awesome NixOS logo ASCII used in Microfetch
• @uzaaft - Helping me going faster

Additionally a big thank you to everyone who used, talked about or criticized Microfetch. I might have missed your name here, but you have my thanks.

License

Microfetch is licensed under GPL3. See the license file for details.

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1. With the Mold linker, which is enabled by default in the Flake package, the binary size is roughly 350kb. That's nearly 20kb reduction in size :) ↩︎

2. I don't know how else to describe the (unhealthy) amount of handwritten assembly that was written in order to make Microfetch faster. ↩︎