Website
Social Media
Description
PyTables is a package for managing hierarchical datasets designed to efficiently cope with extremely large amounts of data.
It is built on top of the HDF5 [1] library, the Python language [2] and the NumPy [3] package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code, makes it a fast yet extremely easy-to-use tool for interactively storing and retrieving very large amounts of data.
Languages
Python
Team
PyTables Governance Team — PyTables 3.3.0 documentation
Governance Team:
- Francesc Alted
- Ivan Vilata
- Scott Prater
- Vicent Mas
- Tom Hedley
- Antonio Valentino
- Jeffrey Whitaker
- Josh Moore
- Anthony Scopatz
- Andrea Bedini
Top Contributors:
- https://github.com/FrancescAlted
- https://github.com/avalentino
- https://github.com/andreabedini
Contributors: https://github.com/PyTables/PyTables/graphs/contributors
Governance
Code of Conduct
Code Repository
- GitHub: PyTables Organization
- GitHub: PyTables/PyTables
Build Tools
- Code Climate: Feed - Code Climate
- Jenkins: PyTables [Jenkins]
- AppVeyor: PyTables 1.0.166 - AppVeyor
Packages
Releases
Issue Tracker
Documentation
- FAQ: FAQ — PyTables 3.3.0 documentation
- Contributing: Home · PyTables/PyTables Wiki
- Contributing: PyTables Development — PyTables 3.3.0 documentation
- User Guide: PyTables User’s Guide — PyTables 3.3.0 documentation
Discussion
- Pytables-announce Info Page
- pytables-dev - Google Groups
- pytables-users - Google Groups
- Gitter: PyTables/PyTables - Gitter
Events
License
BSD-3-Clause: PyTables/LICENSE.txt at develop · PyTables/PyTables
Citing
The recommended way to cite PyTables in a paper or a presentation is as following:
Author: Francesc Alted, Ivan Vilata and others
Title: PyTables: Hierarchical Datasets in Python
Year: 2002 -
URL: http://www.pytables.org
Here’s an example of a BibTeX entry:
@Misc{,
author = {Francesc Alted and Ivan Vilata and others},
title = {{PyTables}: Hierarchical Datasets in {Python}},
year = {2002--},
url = "http://www.pytables.org/"
}
History
“Since August 2015, PyTables is a NumFOCUS project, which means that your donations are fiscally sponsored under the NumFOCUS umbrella. Please consider donating to NumFOCUS.”
“Because, back in August 2002, one of its authors (Francesc Alted [10]) had a need to save lots of hierarchical data in an efficient way for later post-processing it. After trying out several approaches, he found that they presented distinct inconveniences. For example, working with file sizes larger than, say, 100 MB, was rather painful with ZODB (it took lots of memory with the version available by that time).