Analyzed
over 2 years
ago.
based on code collected
almost 3 years
ago.
Project Summary
xray aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.
Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. Our approach adopts the Common Data Model for self- describing scientific data in widespread use in the Earth sciences: xray.Dataset is an in-memory representation of a netCDF file.
Badges
In a Nutshell, xray - N-D Labeled Arrays and Datasets...
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has a well established, mature codebase
maintained by a very large development team
with stable Y-O-Y commits -
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took an estimated 12 years of effort (COCOMO model)
starting with its first commit in September, 2013
ending with its most recent commit almost 3 years ago
Quick Reference
https://github.com/xray/xray
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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30 Day SummaryAug 20 2019 — Sep 19 2019
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12 Month SummarySep 19 2018 — Sep 19 2019
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