CLI tool
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fastfetch-cli/fastfetch

Fastfetch: A Faster, More Configurable Neofetch Replacement

A maintained, feature-rich and performance oriented, neofetch like system information tool.

24,629 stars891 forksCMIT

At a glance

What is it?
Fastfetch is a C-based system information tool that aims to replace neofetch with better performance, more modules, and JSONC configuration. It supports a wide range of operating systems, but you should verify your platform's support before adopting it.
Who is it for?
Adopt fastfetch if you want an actively maintained, faster, and more accurate neofetch alternative with deep customization. Skip it if you rely on an older Linux distribution that packages outdated versions, or if you need guaranteed support on non-x86-64/aarch64 platforms.
Can I use it commercially?
Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
Is it still maintained?
Yes. The repository last received commits 1 day ago.
What is it written in?
Mainly C, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on September 14, 2026, and from our analysis. They are not legal advice.

DEEP OPEN-SOURCE ANALYSIS

What Fastfetch Solves and Who It Is For

Fastfetch targets users who found neofetch too slow, unmaintained, or limited. Neofetch, a popular shell script for displaying system info, has not been actively developed for years. Fastfetch is written in C, which gives it a performance edge from the start. It is aimed at Linux enthusiasts, developers, and anyone who runs a terminal on startup and wants a quick, visually appealing system summary. The README explicitly compares itself to neofetch, claiming to be faster, more feature-rich, more configurable, and more polished. For example, it prints memory as 555.00 MiB instead of neofetch's 555 MiB, and disk as 22.97 GiB instead of 23 G. It also claims better accuracy, noting neofetch never supported the Wayland protocol. The tool's audience is technical users who value speed and customization over simplicity.

How Fastfetch Works: Modules, Detection, and Output

Fastfetch works by detecting system information through a series of modules. Each module corresponds to a piece of data, such as memory, disk, or local IP. The README shows how to list all available modules with `fastfetch -c all.jsonc`. You can also query specific modules and get JSON output using `fastfetch -s <module1>[:<module2>] --format json`. This JSON output is useful for scripting or integrating with other tools. The tool's architecture is modular, meaning you can enable or disable modules in the config file. By default, only a few modules are enabled, which keeps the default output clean. The detection mechanism is not described in detail in the README, but the JSON format suggests a structured data layer beneath the display. The tool also supports custom logos, which can be heavily customized per the logo documentation. The key point is that fastfetch separates detection from presentation, allowing you to see raw data via JSON and then format it as you wish.

Installation and First Run: Commands and Config Generation

Getting fastfetch running is straightforward on most systems. On Arch Linux, run `pacman -S fastfetch`. On Fedora, use `dnf install fastfetch`. For Ubuntu 22.04 or newer, you can add the PPA `ppa:zhangsongcui3371/fastfetch` for the latest version. macOS users can use `brew install fastfetch` or `sudo port install fastfetch`. Windows users have several options, including `winget install fastfetch`, `scoop install fastfetch`, or `choco install fastfetch`. For BSD systems, package names vary: `pkg install fastfetch` on FreeBSD, `pkgin in fastfetch` on NetBSD, and `pkg_add fastfetch` on OpenBSD (snapshots only). Android via Termux uses `pkg install fastfetch`. After installation, simply run `fastfetch` with the default configuration. To generate a minimal config file, use `fastfetch --gen-config </path/to/config.jsonc>`. The config format is JSONC, which allows comments. There is also an online configuration generator at fastfetch-cli.github.io/fastfetch-config. The README warns that some distributions package outdated versions, and older versions receive no support, so you should always try to use the latest release.

Customization: JSONC Config, Presets, and the Command Module Risk

Fastfetch's customization is one of its main selling points. The configuration file uses JSONC, which is JSON with comments, making it easier to maintain than plain JSON. The README points to a Wiki for details and to a `presets` directory with example config files. You can load a preset with `-c <filename>`. The tool also allows heavy logo customization. However, there is a significant warning: the `Command` module can run arbitrary shell commands. If you copy a config file from an untrusted source, it could contain malicious commands. The README explicitly says to review any config file before using it. This is a real security consideration. For a tool that is often run on shell startup, a malicious config could execute on every terminal launch. The risk is not hypothetical; it is a direct consequence of the module's design. Users must treat config files from the internet with the same caution as any executable script.

Performance and Accuracy: The Benchmark Claims and What They Mean

The README claims fastfetch is faster and more accurate than neofetch. The performance claim is plausible given the C implementation, but the README does not provide specific benchmark numbers. There is a link to a benchmark page in the repository, but the README text does not include any measured values. As a reviewer, I cannot confirm the exact speed advantage. The accuracy claims are more concrete: the README gives examples of output formatting, like `555.00 MiB` for memory and `22.97 GiB` for disk. It also mentions that neofetch never supported the Wayland protocol, which is a factual claim about neofetch's limitations. For users who rely on accurate system info, especially in scripts, the JSON output format is a practical benefit. The precision in units (MiB vs MB, GiB vs GB) matters for consistency. Still, the performance advantage is something you should verify on your own hardware, since the documentation does not quantify it.

Platform Support: Wide Range but with Explicit Caveats

Fastfetch supports a wide range of operating systems: Linux, macOS, Windows 8.1+, Android, FreeBSD, OpenBSD, NetBSD, DragonFly, Haiku, and SunOS (illumos, Solaris). That is an impressive list. However, the README includes a critical note: fastfetch is only actively tested on x86-64 and aarch64 platforms. It may work on other platforms, but it is not guaranteed. This means if you are on a less common architecture like RISC-V or an older 32-bit system, you might encounter bugs. Also, some BSD systems only have snapshots, not stable packages. For example, OpenBSD and DragonFly BSD only have snapshots. This is a real limitation for users who prefer stable releases. The support matrix is not uniform; you need to check the package availability for your specific OS and architecture. The README also notes that some Linux distributions package outdated versions, which receive no support. So even on supported platforms, you must ensure you have the latest version.

Alternatives: Neofetch and What Makes Fastfetch Different

The most direct alternative is neofetch, the tool fastfetch aims to replace. Neofetch is a bash script, which makes it portable but slower. Fastfetch is written in C, which gives it a performance advantage. Neofetch is no longer actively maintained, while fastfetch is actively developed, with recent releases in 2026. The configuration approach differs: neofetch uses a bash config file, while fastfetch uses JSONC. This is a fundamental difference in philosophy. JSONC is more structured and easier to parse programmatically, but it may be less flexible for some users who are comfortable with bash scripting. Another alternative might be screenfetch or other similar tools, but the README does not mention them. The key difference is that fastfetch offers more modules and more accurate output, as noted in the FAQ. If you value active maintenance and performance, fastfetch is a clear choice over neofetch. If you prefer a simple, scriptable tool that runs anywhere, neofetch might still work, but you lose the speed and features.

Maintenance, License, and Upgrade Considerations

Fastfetch is under the MIT license, which is permissive and allows commercial use, modification, and distribution with minimal restrictions. The project is actively maintained, with releases on a roughly monthly basis. The latest release at the time of writing is 2.67.1, released on 2026-08-14. The default branch is `dev`, which suggests a rolling development model. Upgrades are generally straightforward: use your package manager to update to the latest version. However, the README warns that older versions receive no support, so you need to keep up with releases. This is a maintenance cost: you must regularly update to avoid bugs and get new features. The project also provides nightly builds for those who want the latest changes. The trade-off is that nightly builds may be unstable. For a tool that runs on shell startup, stability matters. You should weigh the need for new features against the risk of running a development version. The MIT license gives you freedom to modify and redistribute, but you are responsible for your own updates.

Editorial conclusion

Adopt fastfetch if you want an actively maintained, faster, and more accurate neofetch alternative with deep customization. Skip it if you rely on an older Linux distribution that packages outdated versions, or if you need guaranteed support on non-x86-64/aarch64 platforms. Before deploying, verify your OS package version is recent, review any config file you download for the Command module, and test the JSON output for your specific modules. Fastfetch's speed and feature set make it a strong default, but its support boundaries and config security warnings are real constraints.

Official sources

  1. Official README
  2. Project repository
  3. Release notes
Community notes

Community notes