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Analyzed 7 months ago. based on code collected over 5 years ago.

Project Summary

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.

PyTables is built on top of the HDF5 library, using the Python language and the NumPy package (it also supports numarray and Numeric right out-of-the-box). It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Pyrex), makes it a fast, yet extremely easy to use tool for interactively saving and retrieving very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that data takes much less space (specially if on-flight compression is used) than other solutions such as relational or object oriented databases.

Tags

data database hdf5 library numerical persistence python storage

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BSD 3-clause "New" or "Revised" License
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These details are provided for information only. No information here is legal advice and should not be used as such.

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

Languages?height=75&width=75
Python
54%
C
38%
9 Other
8%

30 Day Summary

Dec 15 2014 — Jan 14 2015

12 Month Summary

Jan 14 2014 — Jan 14 2015
  • 1826 Commits
    Up + 986 (117%) from previous 12 months
  • 62 Contributors
    Up + 45 (264%) from previous 12 months