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Analyzed 11 months ago. based on code collected 11 months ago.

Project Summary

Spreadsheets have shown ubiquitous use by scientists, business and financial analysts, researchers and lay users. However, spreadsheets can not express complex operations (for example, joins), can not handle large sets of data, do not support collaboration, and do not promote errors, redundancy, and errors. obsolete data. On the other hand, relational databases are known to be powerful and scalable, but they are not flexible, intuitive, or interactive.
DataSpread solves these problems by holistically unifying spreadsheets with databases: keeps spreadsheets as front-end and databases as a back-end.

Tags

algorithms analysts back-end business data databases DataSpread excel financial handle java large relational researchers sets Spreadsheets

In a Nutshell, DataSpread...

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Java
97%
5 Other
3%

30 Day Summary

Dec 17 2023 — Jan 16 2024

12 Month Summary

Jan 16 2023 — Jan 16 2024