Analytics
See presentation video : https://www.youtube.com/watch?v=M9I8Vt5mmAc
Squey is designed from the ground up to take advantage of GPUs and CPUs to perform interactive explorations of massive amounts of data.
It gives users an exhaustive yet intuitive multi-view representation of columnar data and can ingest from:
Squey strives to deliver value through its V.I.SU approach:
Squey can be used for many different purposes, such as:
Give yourself a chance to see your data and have fun exploring!
flatpak install --user -y https://dl.flathub.org/repo/appstream/org.squey.Squey.flatpakref
Windows support is available through the use of WSL2:
Deploying the software as a service on an AWS EC2 instance :
See the developement README.md page.
Note : Merge Requests having the action::flatpak_export
label are exported by the CI/CD pipeline as a flatpak package named after the git branch name.
Adding the flatpak development remote (once):
flatpak --user remote-add --no-gpg-verify squey_dev http://inspector-cassiopee.ensam.eu/flatpak
Installing a development branch:
flatpak install --user squey_dev org.squey.Squey//<dev_branch_name>
https://gitlab.com/groups/squey/-/roadmap
Use this DOI to make citations
Help the contributors to develop and maintain the software