Running Gaia Sky

If you installed the software using an installer or a package manager system (rpm, deb), you just need to use the standard running procedures of your Operating System to run the application.


In windows, this means clicking on Start and then browsing the start menu folder Gaia Sky. You can run the executable from there.


Just type gaiasky in a terminal or use your favourite desktop environment search engine to run the Gaia Sky launcher.

macOS X

Locate the launcher in your install directory (usually /Applications) and double click on it.

Code and pakcage

However, if you are a maverick and do not like installers, you can also run the Gaia Sky directly from the source code in GitHub or using the tgz package.

Running from source


If you want to compile the source code, you will need the following:

Please, be aware that only tags are guaranteed to work (here). The master branch holds the development version and the configuration files are possibly messed up and not ready to work out-of-the-box. So remember to use a tag version if you want to run it right away from source.

Also, this guide is for Unix-like systems only. If you are working on Windows, you will need git for windows and Power Shell, even though it has not been tested.

First, clone the repository:

$ git clone
$ cd gaiasky

Getting the catalog data

The TGAS catalog files (Gaia data) are not in the repository, so if you want to use TGAS when running from source you need to download the tar file corresponding to your version — see table below.

As of version 1.5.0, there are new GPU-bound catalogs which perform much better and can also be combined with the levels-of-detail structure to produce a good combo in terms of performance and load times. Choose which catalog you want to use. Usually, the single file GPU version should work fine (tgas gpu), and has no culling, so all particles are visible at all times.




Catalog file

tgas lod (1.0.3)

Levels of detail (lod) TGAS catalog. CPU-bound.


tags lod (1.0.4)

Levels of detail (lod) TGAS catalog. CPU-bound.


tags lod (1.5.0+)

Levels of detail (lod) TGAS catalog. GPU-bound.



tags gpu (1.5.0+)

TGAS catalog, GPU-bound.



For versions 1.0.x just extract the package in the specified location. For versions 1.5.0+ you can choose whether you want to use the Levels of detail catalog (multiple files, uses an octree structure which culls particles outside the view frustum and hides particles which are far away according to the view distance setting) or the regular catalog (single file, loaded once at startup, contains the full catalog, which is sent to GPU memory). Then, you need to point the key data.json.catalog in your $HOME/.gaiasky/ file to the file specified in the last column in the table.

Albeit not recommended for performance reasons, the legacy particle-based (CPU-bound) version of the catalog (version 1.0.4) can still be used with newer versions. To do so, extract the package in gaiasky/android/assets/data/octree/tgas so that the metadata.bin file and the particles folder are directly within that folder and edit the configuration file so that data.json.catalog points to data/catalog-tgas-hyg-lod-old.json.

Compiling and running

To compile the code and run the desktop version of the application:

$ gradlew desktop:run

Packagin Gaia Sky

To pack the application into a tar.gz file:

$ gradlew desktop:createTar

In order to produce the desktop installers for the various systems you need a licensed version of Install4j.

$ gradlew desktop:pack

These commands will compile and package the application into a gaiasky-[version] folder under the gaiasky/releases folder.

Running from downloaded package

If you prefer to run the application from the tar.gz package, follow the instructions below.


In order to run the application on Linux, open the terminal, uncompress the archive, give execution permissions to the gaiasky script and then run it.

$ tar zxvf gaiasky-[version].tar.gz
$ cd gaiasky-[version]/
$ gaiasky


In order to run the application on Windows, open a terminal window (type cmd in the start menu search box) and run the gaiasky.cmd file.

cd path_to_gaiasky_folder

macOS X

To run the application on macOS, follow the instructions in the Linux section.