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'---' `---`
A handy API client for your terminal!
HAC
is an API client like Postman that runs on your terminal. We have the
goal of making easy to test and document APIs while being completely offline,
free and open source.
If you already have Nix setup with flake support, you can try out hac with the nix run command:
nix run github:wllfaria/hac
Nix will build and run hac.
If you want to pass arguments this way, use e.g. nix run github:wllfaria/hac -- -h
This section should guide you through the hac installation process.
You can get hac with cargo, or get the latest release tag.
Note
you need rust v1.76 or newer
You can get hac from crates.io with:
cargo install hac-client
Clone the repository into your machine, and you'll be able to run, or build by following the steps below:
git clone https://github.com/wllfaria/hac
cd hac
cargo run
# alternatively, you can run:
cargo build --release
# or if you have just:
just build
# the binary will be located at target/release/hac
Important
hac is in its very early stages of development, new features are added constantly, and we have many features planned, feel free to report any bugs, ask for features or discuss ideas.
Note
Documentation is still a work in progress
Documentation can be found in the hac wiki
Customizing hac is as simple as editing toml files on the config directory, which can be in different places based on your system and maybe in your environment variables, but you can run the following command to know where hac is looking for your configuration:
# this command will print the path to the configuration directory hac is trying to load
hac --config-dir
Note
You can check all the configuration options and what they mean in the wiki secion for customizing hac
hac comes with a set of default configurations, you can check more on the wiki, or if you prefer, you can dump the default configuration and colorscheme to the configuration directory by using:
hac --config-dump
Tip
If you want to save the config to a file, you can do as follows.
hac --config-dump > hac.toml
All contributions are welcome! Just open a pull request. Please read CONTRIBUTING.md
Changelogs can be found here