Skip to content

jspaezp/harlequin

 
 

Repository files navigation

Harlequin

PyPI

PyPI - Python Version Runs on Linux | MacOS | Windows

The SQL IDE for Your Terminal.

Harlequin

Installing Harlequin

After installing Python 3.8 or above, install Harlequin using pip or pipx with:

pipx install harlequin

Using Harlequin with DuckDB

From any shell, to open one or more DuckDB database files:

harlequin "path/to/duck.db" "another_duck.db"

To open an in-memory DuckDB session, run Harlequin with no arguments:

harlequin

If you want to control the version of DuckDB that Harlequin uses, see the Troubleshooting page.

Using Harlequin with SQLite and Other Adapters

Harlequin also ships with a SQLite3 adapter. You can open one or more SQLite database files with:

harlequin -a sqlite "path/to/sqlite.db" "another_sqlite.db"

Like DuckDB, you can also open an in-memory database by omitting the paths:

harlequin -a sqlite

Other adapters can be installed using pip install <adapter package> or pipx inject harlequin <adapter package>, depending on how you installed Harlequin. For a list of known adapters provided either by the Harlequin maintainers or the broader community, see the adapters page in the docs.

Getting Help

To view all command-line options for Harlequin and all installed adapters, after installation, simply type:

harlequin --help

To view a list of all key bindings (keyboard shortcuts) within the app, press F1. You can also view this list outside the app in the docs.

COLOR, KEY BINDING, OR COPY-PASTE PROBLEMS? See Troubleshooting in the docs.

More info at harlequin.sh

Visit harlequin.sh for an overview of features and full documentation.

Sponsoring Harlequin

Please consider sponsoring Harlequin's author, so he can continue to dedicate time to Harlequin.

Contributing

Thanks for your interest in Harlequin! Harlequin is primarily maintained by Ted Conbeer, but he welcomes all contributions!

Please see CONTRIBUTING.md for more information.

About

The SQL IDE for Your Terminal.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.8%
  • Makefile 0.2%