Open Source Python Software

Software for pixelization, hierarchical indexation, synthesis, analysis, and visualization of data on the sphere. Please acknowledge HEALPix by quoting the web page http://healpix.sourceforge.net (or https://healpix.sourceforge.io) and publication: K.M. Gorski et al., 2005, Ap.J., 622, p.759 Full software documentation available at https://healpix.sourceforge.io/documentation.php Wiki Pages: https://sourceforge.net/p/healpix/wiki/Home Exchanging Data with HEALPix (in FITS files): https://sourceforge.net/p/healpix/wiki/Exchanging%20Data%20with%20HEALPix/ GDL and FL users should read https://sourceforge.net/p/healpix/wiki/HEALPix%20and%20GDL/

PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (3.x). It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. The latest version is v3.3.1 (IDL & Matlab) and v3.3.4 (Python). Please report any bugs using the Tickets tab.

The Airborne Data Processing and Analysis (ADPAA) package is an open-source software package containing a collection of programs and scripts to process and analyze data from in-situ instruments deployed on airborne platforms. The ADPAA package was started to process data on the North Dakota Citation Research Aircraft but has been used to process data on many airborne platforms. The software methodology used in ADPAA is provided in the peer-review publication: Delene, D. J., Airborne Data Processing and Analysis Software Package, Earth Science Informatics, 4(1), 29-44, 2011, URL: http://dx.doi.org/10.1007/s12145-010-0061-4, DOI: 10.1007/s12145-010-0061-4.

IDLSave is a python module that allows IDL 'save' files (e.g. .sav files) to be read directly into python without the need for IDL to be installed. IDL variables, including structures and arrays, are converted to the equivalent python types.

EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. In a nutshell an EBF file is a collection of data objects. Each data object is specified by a unique name and a single file can have multiple data objects. Each data object is preceded by a meta-data or header which describes the binary data associated with it. Among other things, this header allows the files to be portable across systems with different endianess.

The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.

GDL - GNU Data Language, a free IDL (Interactive Data Language, see http://ittvis.com/idl/) compatible incremental compiler.

To build a fully CORBA compliant implementation of the CORBA lightweight services implemented exclusively in Python.

Standardizes documents in the format of the Public Prosecutor's Office of Maranhão, Brazil. Brings additional productivity functionality for the production of texts like: Writes numbers, percentage, and currency values ​​in extensor in writer.

ESML is an interchange technology that utilizes external metadata to allow applications to plug and play seamlessly with Earth Science specific datasets in heterogeneous formats.

Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.

Tokenizer and translator for the IDL language, principally used with the IDL environment from ITTVis and GDL.

omniORB2 and omniORBpy adaptations for IPSA

The GetData library provides an API to interface with Dirfile databases. The Dirfile database format is designed to provide a fast, simple, scalable format for storing and reading binary, synchronously-sampled, time-ordered data.