{"id":17582991,"url":"https://github.com/squey/squey","last_synced_at":"2025-03-08T08:30:51.634Z","repository":{"id":172176895,"uuid":"648945293","full_name":"squey/squey","owner":"squey","description":"Squey is a visualization software designed to interactively explore and understand large amounts of tabular data (this is the read-only mirror of 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installs](https://img.shields.io/flathub/downloads/org.squey.Squey?label=flathub\u0026style=flat\u0026color=blue)](https://flathub.org/apps/details/org.squey.Squey)\n[![Matrix](https://img.shields.io/matrix/squey%3Amatrix.org)](https://matrix.to/#/#squey:matrix.org)\n[![DOI](https://zenodo.org/badge/648945293.svg)](https://doi.org/10.5281/zenodo.13927905)\n[![Liberapay](https://img.shields.io/liberapay/patrons/squey)](https://liberapay.com/squey)\n\n\n# About\n\n[![Squey presentation video](https://gitlab.com/squey/squey/-/raw/main/buildstream/files/screenshots/squey.gif)](https://www.youtube.com/watch?v=M9I8Vt5mmAc)\n\nSee presentation video : https://www.youtube.com/watch?v=M9I8Vt5mmAc\n\n## Project description\n\n\u003c!-- project_description_start --\u003e\n\n\u003cp\u003e\u003ca href=\"https://squey.org\"\u003eSquey\u003c/a\u003e is designed from the ground up to take advantage of GPUs and CPUs to perform interactive explorations of massive amounts of data.\u003c/p\u003e\n\n\u003cp\u003eIt gives users an exhaustive yet intuitive multi-view representation of columnar data and can ingest from:\u003c/p\u003e\n\u003col\u003e\n    \u003cli\u003eStructured text files (CSV, logs, ...)\u003c/li\u003e\n    \u003cli\u003eApache Parquet files\u003c/li\u003e\n    \u003cli\u003ePcap files\u003c/li\u003e\n    \u003cli\u003eSQL databases\u003c/li\u003e\n    \u003cli\u003eElasticsearch databases\u003c/li\u003e\n\u003c/ol\u003e\n\n\u003cp\u003eSquey strives to deliver value through its \u003cb\u003eV.I.SU\u003c/b\u003e approach:\u003c/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003e\u003cb\u003eVisualize\u003c/b\u003e: Leverage various visual representations of raw data in combination with statistics\u003c/li\u003e\n  \u003cli\u003e\u003cb\u003eInvestigate\u003c/b\u003e: Use filters to build an accurate understanding of millions of rows while switching instantly between capturing the big picture and focusing on the details\u003c/li\u003e\n  \u003cli\u003e\u003cb\u003eSpot the Unknown\u003c/b\u003e: As a structured understanding of the data emerges, identify unknowns and anomalies\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003cp\u003eSquey can be used for many different purposes, such as:\u003c/p\u003e\n\u003cul\u003e\n    \u003cli\u003e\u003cb\u003eBI and Big Data\u003c/b\u003e: Bootstrap initial understanding of complex datasets and deep dive where necessary to design accurate data processing\u003c/li\u003e\n    \u003cli\u003e\u003cb\u003eCybersecurity\u003c/b\u003e: Detect weak signals such as attacks and data leaks\u003c/li\u003e\n    \u003cli\u003e\u003cb\u003eIT troubleshooting\u003c/b\u003e: Resolve network issues and improve application performance\u003c/li\u003e\n    \u003cli\u003e\u003cb\u003eMachine Learning\u003c/b\u003e: Design training dataset to fulfill targeted improvements of Machine Learning models\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003cbr\u003e\n\u003cp\u003eGive yourself a chance to \u003cb\u003esee\u003c/b\u003e your data and have fun exploring!\u003c/p\u003e\n\n\u003c!-- project_description_end --\u003e\n\n## Installation\n\n### Linux\n\n[\u003cimg src=\"https://flathub.org/assets/badges/flathub-badge-en.png\" width=\"200\"/\u003e](https://flathub.org/apps/details/org.squey.Squey)\n\n```\nflatpak install --user -y https://dl.flathub.org/repo/appstream/org.squey.Squey.flatpakref\nflatpak run org.squey.Squey\n```\n\n### Windows\n\nWindows support is available through the use of [WSL2](https://apps.microsoft.com/store/detail/windows-subsystem-for-linux/9P9TQF7MRM4R):\n\n[\u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/e/e2/Windows_logo_and_wordmark_-_2021.svg/320px-Windows_logo_and_wordmark_-_2021.svg.png\" width=\"200\"/\u003e](https://squey.gitlab.io/squey/squey_installer.exe)\n\n\n### AWS\n\nDeploying the software as a service on an AWS EC2 instance :\n\n[\u003cimg src=\"https://squey.org/images/logos/aws_marketplace.png\" width=\"200\"/\u003e](https://aws.amazon.com/marketplace/search/results?searchTerms=Squey)\n\n\n## Reference manual\n\nhttps://doc.squey.org\n\n## Development\n\nSee the developement [README.md](buildstream/README.md) page.\n\n### Installing a flatpak development branch\n\nNote : Merge Requests having the `action::flatpak_export` [label](https://gitlab.com/squey/squey/-/labels#) are exported by the CI/CD pipeline as a flatpak package named after the git branch name.\n\nAdding the flatpak development remote (once):\n```\nflatpak --user remote-add --no-gpg-verify squey_dev http://inspector-cassiopee.ensam.eu/flatpak\n```\nInstalling a development branch:\n```\nflatpak install --user squey_dev org.squey.Squey//\u003cdev_branch_name\u003e\n```\n\n### Roadmap\n\nhttps://gitlab.com/groups/squey/-/roadmap\n\n### Support the project\n\nUse this DOI to make citations\n\n[![Zenodo](https://zenodo.org/badge/648945293.svg)](https://doi.org/10.5281/zenodo.13927905)\n\nHelp the contributors to develop and maintain the software\n\n[![LiberaPay](https://liberapay.com/assets/widgets/donate.svg)](https://liberapay.com/Squey/)\n\n[![Stargazers repo roster for @squey/squey](https://reporoster.com/stars/dark/squey/squey)](https://github.com/squey/squey/stargazers)","funding_links":["https://liberapay.com/squey","https://liberapay.com/Squey/"],"categories":["Related Software"],"sub_categories":["Time-Series Analysis"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsquey%2Fsquey","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsquey%2Fsquey","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsquey%2Fsquey/lists"}