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Software · Education & science

Squey

Explore your data.

  • Completely free
  • Linux
  • Open source

At a glance

Squey is completely free: it is open source software, and every feature is available without paying or subscribing.

Its licence (MIT) is a permissive open source licence: use, modification and redistribution are allowed, including in commercial projects.

Strengths

  • Open source code
  • Commercial use allowed

About

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: Structured text files (CSV, logs, ...) Apache Parquet files Pcap files SQL databases 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!

Description from Flathub — AppStream (Flathub)

Sources and checks

  • Facts collected from Official plan pages (pricing, licence, terms) (commercial use) —
  • Facts collected from Flathub (credit card, source code, publisher, licence, free status, platforms, commercial use, version) —
  • Last technical check: 8 November 2026
  • Description from Flathub — AppStream (Flathub)

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