Analyzed
4 months
ago.
based on code collected
7 months
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...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a very large development team
with stable Y-O-Y commits -
...
took an estimated 12 years of effort (COCOMO model)
starting with its first commit in September, 2013
ending with its most recent commit 7 months ago
Quick Reference
git://github.com/xray/xray.git
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
Did You Know...
-
...
use of OSS increased in 65% of companies in 2016
-
...
you can subscribe to e-mail newsletters to receive update from the Open Hub blog
-
...
55% of companies leverage OSS for production infrastructure
-
...
anyone with an Open Hub account can update a project's tags
30 Day SummaryAug 20 2019 — Sep 19 2019
|
12 Month SummarySep 19 2018 — Sep 19 2019
|
