Vitables is a multi-platform application that efficiently manages and browses large datasets, displaying data hierarchies and metadata in a browsable object tree format. It supports various capabilities, including editing nodes, managing files with numerous nodes, and offers fast performance in data display. Future plans include gathering user feedback and enhancing features like cstables support and a Python shell.

1. Main features
Comparison with other tools
Summary
ViTables
Browsing HDF5 Data with PyTables
Vicent Mas
Cárabos Coop. V.
HDF Workshop November 30, 2005 - December 2, 2005.
Vicent Mas
ViTables

2. Main features
Comparison with other tools
Summary
Outline
1
Introduction
Overview
Interactive session
2
Comparison with other tools
Vicent Mas
ViTables

3. Main features
Comparison with other tools
Summary
Overview
Interactive session
Overview
A member of the PyTables family.
Written in Python and PyQt.
Usability matters.
It deals efficiently with very large datasets.
It is not a dataset editor.
It is not an image viewer.
Vicent Mas
ViTables

4. Main features
Comparison with other tools
Summary
Overview
Interactive session
Overview
A member of the PyTables family.
Written in Python and PyQt.
Usability matters.
It deals efficiently with very large datasets.
It is not a dataset editor.
It is not an image viewer.
Vicent Mas
ViTables

5. Main features
Comparison with other tools
Summary
Overview
Interactive session
Overview
A member of the PyTables family.
Written in Python and PyQt.
Usability matters.
It deals efficiently with very large datasets.
It is not a dataset editor.
It is not an image viewer.
Vicent Mas
ViTables

6. Main features
Comparison with other tools
Summary
Overview
Interactive session
Overview
A member of the PyTables family.
Written in Python and PyQt.
Usability matters.
It deals efficiently with very large datasets.
It is not a dataset editor.
It is not an image viewer.
Vicent Mas
ViTables

7. Main features
Comparison with other tools
Summary
Overview
Interactive session
Overview
A member of the PyTables family.
Written in Python and PyQt.
Usability matters.
It deals efficiently with very large datasets.
It is not a dataset editor.
It is not an image viewer.
Vicent Mas
ViTables

8. Main features
Comparison with other tools
Summary
Overview
Interactive session
Overview
A member of the PyTables family.
Written in Python and PyQt.
Usability matters.
It deals efficiently with very large datasets.
It is not a dataset editor.
It is not an image viewer.
Vicent Mas
ViTables

9. Main features
Comparison with other tools
Summary
Overview
Interactive session
Interactive Session
Vicent Mas
ViTables

10. Main features
Comparison with other tools
Summary
Overview
Interactive session
Capabilities
Browsing and editing
Display data hierarchy as a fully browsable object tree.
Display data and metadata for files and nodes.
Can deal with both numerical arrays and records.
Display multidimensional table cells.
File creation and saving under a different name.
Editing nodes is fully supported.
Vicent Mas
ViTables

11. Main features
Comparison with other tools
Summary
Overview
Interactive session
Capabilities
Browsing and editing
Display data hierarchy as a fully browsable object tree.
Display data and metadata for files and nodes.
Can deal with both numerical arrays and records.
Display multidimensional table cells.
File creation and saving under a different name.
Editing nodes is fully supported.
Vicent Mas
ViTables

12. Main features
Comparison with other tools
Summary
Overview
Interactive session
Capabilities
Browsing and editing
Display data hierarchy as a fully browsable object tree.
Display data and metadata for files and nodes.
Can deal with both numerical arrays and records.
Display multidimensional table cells.
File creation and saving under a different name.
Editing nodes is fully supported.
Vicent Mas
ViTables

13. Main features
Comparison with other tools
Summary
Overview
Interactive session
More capabilities
Ability to manage files with a large number of nodes.
Display very large datasets stunningly fast.
Query support for tables.
Editing attributes is supported.
Vicent Mas
ViTables

14. Main features
Comparison with other tools
Summary
Overview
Interactive session
More capabilities
Ability to manage files with a large number of nodes.
Display very large datasets stunningly fast.
Query support for tables.
Editing attributes is supported.
Vicent Mas
ViTables

15. Main features
Comparison with other tools
Summary
Overview
Interactive session
More capabilities
Ability to manage files with a large number of nodes.
Display very large datasets stunningly fast.
Query support for tables.
Editing attributes is supported.
Vicent Mas
ViTables

16. Main features
Comparison with other tools
Summary
Overview
Interactive session
More capabilities
Ability to manage files with a large number of nodes.
Display very large datasets stunningly fast.
Query support for tables.
Editing attributes is supported.
Vicent Mas
ViTables

17. Main features
Comparison with other tools
Summary
Comparison with other tools
Array Viewer HDFView ViTables
Table with 10^6 rows (96 bytes records)
Opening (s)
~44
<1
RSS (MB)
~46
~26
Table with 10^9 rows (28 bytes records)
Opening (s)
<1
RSS (MB)
~27
Opening times are given in seconds.
RSS (non-swapped physical memory that a task has used) is
given in MBs.
Vicent Mas
ViTables

18. Main features
Comparison with other tools
Summary
Summary
ViTables is multi-platform application.
It can manage really large datasets and browse them
stunningly fast.
It can also efficiently manage files with a large number of
nodes.
Plans for the future
Get users feedback.
CSTables support.
A Python shell.
Vicent Mas
ViTables