Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.

h5py

Compare

  Analyzed about 16 hours 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]

17.7K lines of code

40 current contributors

4 days since last commit

11 users on Open Hub

Moderate Activity
0.0
 
I Use This

PyTables

Compare

  Analyzed about 15 hours 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]

68K lines of code

10 current contributors

1 day since last commit

11 users on Open Hub

High Activity
5.0
 
I Use This

NeXus Data Format

Compare

  No analysis available

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.

0 lines of code

13 current contributors

0 since last commit

3 users on Open Hub

Activity Not Available
0.0
 
I Use This
Mostly written in language not available
Licenses: lgpl21_or...

rootpy

Compare

  Analyzed about 24 hours ago

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

19.2K lines of code

2 current contributors

over 5 years since last commit

3 users on Open Hub

Inactive
5.0
 
I Use This

Beam - Earth Observation Toolbox

Compare

  Analyzed 1 day 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]

401K lines of code

0 current contributors

over 1 year since last commit

2 users on Open Hub

Very Low Activity
4.0
   
I Use This

libnix

Compare

Claimed by German Neuroinformatics Node Analyzed 8 minutes 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]

29.1K lines of code

4 current contributors

about 1 year since last commit

2 users on Open Hub

Very Low Activity
5.0
 
I Use This

VIGRA

Compare

  Analyzed about 17 hours 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]

307K lines of code

2 current contributors

about 1 month since last commit

1 users on Open Hub

Low Activity
0.0
 
I Use This

Mechanic

Compare

  Analyzed about 13 hours ago

The MPI task management system for the dynamical astronomy The Mechanic is a task management system and host software framework developed to help in conducting massive numerical simulations. It provides powerful and flexible user API with unified data storage and management. It relies on the ... [More] core-module approach, which allows to separate numerical problem from the common programming tasks, such as setup, storage, task management, splitting the workload, checkpointing etc. From this point of view it allows the user to focus on the numerical part of the scientific problem only, without digging into MPI or advanced data storage. Since the user API is written in C, it allows to easily adapt any code developed with a C-interoperable programming language, such as C++, Fortran2003+, OpenCL, CUDA [Less]

9.96K lines of code

0 current contributors

about 9 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This

vitables

Compare

  Analyzed about 22 hours ago

ViTables is a component of the PyTables family. It is a GUI for browsing and editing files in both PyTables and HDF5 formats. It is developed using Python and PyQt (the Python bindings to the Qt ), so it can run on any platform that supports these components. ViTables capabilities include easy ... [More] navigation through the data hierarchy, displaying of real data and its associated metadata, a simple, yet powerful, browsing of multidimensional data and much more. ViTables can display huge datasets. Tables with 1000'000'000 of rows (and beyond) are navigated stunningly fast and with very low memory requirements. [Less]

23.2K lines of code

0 current contributors

8 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
I Use This
Licenses: No declared licenses

hdf5++

Compare

  Analyzed about 16 hours ago

A C++ wrapper above the hdf5 library to make it easier to use with native c++ data containers.

1.86K lines of code

0 current contributors

over 8 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This