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HDF5

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  Analyzed over 1 year ago

The HDF5 technology suite is designed to organize, store, discover, access, analyze, share, and preserve diverse, complex data in continuously evolving heterogeneous computing and storage environments. HDF5 supports all types of data stored digitally, regardless of origin or size. Petabytes of ... [More] remote sensing data collected by satellites, terabytes of computational results from nuclear testing models, and megabytes of high-resolution MRI brain scans are stored in HDF5 files, together with metadata necessary for efficient data sharing, processing, visualization, and archiving. [Less]

605K lines of code

16 current contributors

over 1 year since last commit

14 users on Open Hub

Activity Not Available
5.0
 
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PyTables

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  Analyzed over 2 years ago

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 ... [More] 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. [Less]

228K lines of code

14 current contributors

almost 3 years since last commit

11 users on Open Hub

Activity Not Available
5.0
 
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h5py

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  Analyzed 8 days ago

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets ... [More] can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. You can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets; you don't need to know anything special about HDF5 to get started. Best of all, the files you create are in a standard binary format you can exchange with other people, including those who use programs like IDL and MATLAB. [Less]

8.04K lines of code

17 current contributors

12 days since last commit

9 users on Open Hub

Moderate Activity
0.0
 
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rootpy

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  Analyzed 9 days ago

A pythonic layer on top of the ROOT framework's PyROOT bindings.

19.2K lines of code

5 current contributors

3 months since last commit

4 users on Open Hub

Low Activity
5.0
 
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libnix

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Claimed by German Neuroinformatics Node Analyzed 7 days ago

NIX: Neuroscience information exchange format The NIX project (previously called Pandora) started as an initiative of the Electrophysiology Task Force which is part of the INCF Datasharing Program. As such the project aims to develop standardized methods and models for storing electrophysiology ... [More] and other neuroscience data together with their metadata in one common file format based on HDF5. [Less]

26.4K lines of code

7 current contributors

26 days since last commit

2 users on Open Hub

Moderate Activity
5.0
 
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NeXus Data Format

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  Analyzed over 1 year ago

A common data format for neutron, x-ray and muon science. NeXus is developed as an international standard by scientists and programmers representing major scientific facilities in Europe, Asia, Australia, and North America in order to facilitate greater cooperation in the analysis and visualization of neutron, x-ray, and muon data.

205K lines of code

17 current contributors

over 1 year since last commit

2 users on Open Hub

Activity Not Available
0.0
 
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Fiber Bundle HDF5 Library

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  Analyzed 11 days ago

The "F5" library is an I/O library in C that implements a semantic layer inspired by the mathematics of Fiber Bundles on top of the HDF5 library. The intention of the F5 library is to achieve interoperability among applications via a Common Data Model, thereby reducing the N x M implementation ... [More] effort of equipping N applications with M file formats to a N + M implementation effort, where N applications need to be equipped with an interface to the common data model and M file converters need to be written to convert from M file formats to the common data model. [Less]

951K lines of code

4 current contributors

14 days since last commit

2 users on Open Hub

Low Activity
0.0
 
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Beam - Earth Observation Toolbox

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  Analyzed 7 days ago

BEAM is an open-source toolbox and development platform for viewing, analysing and processing of remote sensing raster data. Originally developed to facilitate the utilisation of image data from Envisat's optical instruments, BEAM now supports a growing number of other raster data formats such as ... [More] GeoTIFF and NetCDF as well as data formats of other EO sensors such as MODIS, AVHRR, AVNIR, PRISM and CHRIS/Proba. Various data and algorithms are supported by dedicated extension plug-ins. [Less]

465K lines of code

4 current contributors

13 days since last commit

1 users on Open Hub

Low Activity
4.0
   
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VIGRA

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  Analyzed 21 days ago

VIGRA stands for "Vision with Generic Algorithms". It's a novel computer vision library that puts its main emphasis on customizable algorithms and data structures. By using template techniques similar to those in the C++ Standard Template Library, you can easily adapt any VIGRA component to the ... [More] needs of your application, without thereby giving up execution speed. As of version 1.7.1, VIGRA also provides extensive Python bindings on the basis of the popular numpy framework. [Less]

242K lines of code

11 current contributors

6 months since last commit

1 users on Open Hub

Low Activity
0.0
 
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pyhdf5io

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  Analyzed over 1 year ago

People familiar with Matlab(TM) and its load and save functions will find themselves at home with this small python module, I guess. It makes it possible to save your variables in "workspace" or from within a function to a hdf5 file, and later load them back in again. RequiresRequires PyTables ... [More] 2.0.0 or greater. How to usePlease read the README file NewsSee list of updates FeedbackTell me what you think. All comments, bugs and improvement ideas are welcome. Add an "issue" on the project page or drop me an email. [Less]

235 lines of code

0 current contributors

over 4 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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