開發人員: Squeylab (1)
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描述

Squey
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
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螢幕擷取畫面

#1. Squey (macOS) 由: Squeylab
#2. Squey (macOS) 由: Squeylab

新功能

  • 版本: 5.1.0
  • 發佈日期:
  • This major release adds the following features:
    * "open with" with multi-files support and files associations
    * Apache Parquet support for lists, maps and structs (even nested)
    * fix a crash when doing and empty selection with a correlation
    * [windows] hide console window when calling an external process
    * add thousand separators to more text fields
    * ignore selected .format and .pvi when loading text files
    * update freedesktop runtime from 24.08 to 25.08 and all libraries to latest versions

價錢

  • 今天: 免費
  • 最小值: 免費
  • 最大值: 免費
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其他資訊

聯絡人

SqueySquey 縮短網址: 已複製!
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  • Mac App Store

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