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:

1. Structured text files (CSV, logs, ...)
2. Apache Parquet files
3. Pcap files
4. SQL databases
5. Elasticsearch databases

Squey strives to deliver value through its V.I.SU approach:

• Visualize: Leverage various visual representations of raw data in combination with statistics
• Investigate: Use filters to build an accurate understanding of millions of rows while switching instantly between capturing the big picture and focusing on the details
• Spot the Unknown: As a structured understanding of the data emerges, identify unknowns and anomalies

Squey can be used for many different purposes, such as:

• BI and Big Data: Bootstrap initial understanding of complex datasets and deep dive where necessary to design accurate data processing
• Cybersecurity: Detect weak signals such as attacks and data leaks
• IT troubleshooting: Resolve network issues and improve application performance
• Machine Learning: Design training dataset to fulfill targeted improvements of Machine Learning models

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:

https://squey.gitlab.io/squey/squey_installer.exe

Deploying the software as a service in a private cloud:

Or building your own container image:

https://squey.gitlab.io/squey/squey_container.zip

See README.md contained in archive file

https://doc.squey.org

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

Help the contributors to develop and maintain the software