Debian Science Data acquisition development packages

The GetData Project is the reference implementation of the Dirfile Standards, a filesystem-based, column-oriented database format for time-ordered binary data. The Dirfile database format is designed to provide a fast, simple format for storing and reading data.

This package contains shared headers and static libraries.

The GetData Project is the reference implementation of the Dirfile Standards, a filesystem-based, column-oriented database format for time-ordered binary data. The Dirfile database format is designed to provide a fast, simple format for storing and reading data.

This package contains the Perl bindings.

liblxi is an open source software library which offers a simple API for communicating with LXI compatible instruments. The API allows applications to easily discover instruments on networks and communicate SCPI commands.

Development files

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization.

This package contains the development headers for C++

Arithmetic coding is a general technique for coding the outcome of a stochastic process based on an adaptive model. The expected bit rate is the cross-entropy rate of the model versus the actual process. PPM, prediction by partial matching, is an adaptive statistical model of a symbol sequence which models the likelihood of the next byte based on a (relatively short) suffix of the sequence of previous bytes.

Vicino is a library to perform nearest neighbor searching and clustering. The idea is being able to query data by distance search with pluggable distance functions.

The Succinct Data Structure Library (SDSL) is a powerful and flexible C++11 library implementing succinct data structures. In total, the library contains the highlights of 40 research publications. Succinct data structures can represent an object (such as a bitvector or a tree) in space close the information-theoretic lower bound of the object while supporting operations of the original object efficiently. The theoretical time complexity of an operations performed on the classical data structure and the equivalent succinct data structure are (most of the time) identical.

This package installs development files.

TANGO est un système de contrôle distribué orienté objet utilisant CORBA. Dans TANGO, tous les objets sont des représentations de périphériques qui peuvent être sur la même machine ou distribués sur le réseau. La communication entre les périphériques utilise CORBA et peut être synchrone, asynchrone ou orientée événements.

Le modèle objet dans TANGO prend en charge les méthodes, les attributs et les propriétés. TANGO fournit une API qui dissimule tous les détails de l'accès au réseau et fournit des fonctionnalités de navigation à travers les objets, de découverte et de sécurité. Les données permanentes sont stockées dans une base de données MySQL/MariaDB.

TANGO est activement développé dans un travail collaboratif entre les établissements ESRF (www.esrf.eu), Soleil (synchrotron-soleil.fr), Alba (www.cells.es) et Elettra (www.elettra.trieste.it).

Ce paquet fournit les fichiers de développement de tango9.

Vnlog is a trivially-simple log format consisting of an ASCII table with comments and labelled fields. This package provides a C library that simplifies generating such logs. Dev files.

Vnlog is a trivially-simple log format consisting of an ASCII table with comments and labelled fields. This package provides a simple Perl library to parse such logs.

SAC and MiniSEED are two commonly used formats for seismological data.

mseed2sac converts MiniSEED waveform data to SAC format. The output SAC file can be either ASCII or binary (either byte-order), the default is binary with the same byte-order as the host computer. By default all aspects of the input files are automatically detected.

AWS X-Ray is a service that collects data about requests that your application serves, and provides tools you can use to view, filter, and gain insights into that data to identify issues and opportunities for optimization. For any traced request to your application, you can see detailed information not only about the request and response, but also about calls that your application makes to downstream AWS resources, microservices, databases and HTTP web APIs.

This package provides the Python 3 version of the module.

csvkit is a suite of command-line tools for converting to and working with CSV, the king of tabular file formats.

It is inspired by pdftk, gdal and the original csvcut tool by Joe Germuska and Aaron Bycoffe.

If you need to do more complex data analysis than csvkit can handle, use agate.

This package provides the modules for Python 3.

Les données externes sont souvent distribuées sous forme de « fichiers plats », c’est-à-dire des copies dans un format la plupart du temps compréhensible qu’il est possible d’ouvrir dans un tableur, et de la même façon, analyser et indicer ou réimporter dans une base de données locale. Quand le fichier texte est modifié, la base de données doit aussi être mise à jour. Si l’accès à la base de données est nécessaire, le fichier texte doit être téléchargé d’abord et la base de données créée. Les mises à jour distantes nécessitent des mises à jour locales.

Ce paquet fournit un ensemble de fonctions d’assistance pour réaliser la gestion de fichiers distants et la mise à jour manuelle de bases de données locales qui en dérivent.

Based on the Qt Python binding module PyQt4, guidata is a Python library generating graphical user interfaces for easy dataset editing and display. It also provides helpers and application development tools for PyQt4.

This is the Python 3 version of the package.

Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you:

 1. Load data from a variety of formats into containers you already know,
    like Pandas dataframes, Python lists, NumPy arrays and more.
 2. Convert boilerplate data loading code into reusable intake plugins.
 3. Describe data sets in catalog files for easy reuse and sharing
    between projects and with others.
 4. Share catalog information (and data sets) over the network with the
    Intake server.

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization.

This package provides the Python 3 bindings for Open3D.

The GetData Project is the reference implementation of the Dirfile Standards, a filesystem-based, column-oriented database format for time-ordered binary data. The Dirfile database format is designed to provide a fast, simple format for storing and reading data.

This package contains the Python 3 bindings.

PyMeasure makes scientific measurements easy to set up and run.

The package contains a repository of instrument classes and a system for running experiment procedures, which provides graphical interfaces for graphing live data and managing queues of experiments. Both parts of the package are independent, and when combined provide all the necessary requirements for advanced measurements with only limited coding.

This package provides the modules for Python 3.

segyio is a fast and practical library for reading and writing seismic data in SEG-Y format. segyio is random access oriented for modern computers simple read/write primitives on lines.

This package contain the python3 interface.

TANGO is an object oriented distributed control system using CORBA, mainly developed by the Controls Section of the ALBA Synchrotron. PyTango provides bindings for its client- and server-side C++ APIs. With PyTango, you can write TANGO device servers and TANGO applications (scripts, CLIs, GUIs) that access TANGO device servers in pure Python.

This is the Python 3 version of the package.

TRX is a tractography file format designed to facilitate dataset exchange, interoperability, and state-of-the-art analyses, acting as a community-driven replacement for the myriad existing file formats.

This package contains the Python implementation of the trx file-format.

Vnlog is a trivially-simple log format consisting of an ASCII table with comments and labelled fields. This package provides a simple Python3 library to parse such logs.

xrayutilities est un ensemble de scripts utilisés pour analyser les données de diffraction de rayons X. Il se compose d’un paquet de Python et de plusieurs routines écrites en C. Il est particulièrement utile pour la conversion d’espace réciproque de données de diffraction avec détecteurs linéaires et de zones.

Il s'agit de la version Python 3 du paquet.

This is a C library for Raspberry Pi (RPi). It provides access to GPIO and other IO functions on the Broadcom BCM 2835 chipp, as used in the RaspberryPi, allowing access to the 26 pin ISE plug on the RPi board so you can control and interface with various external devices.

This package contains functions to draw a tree structure, similar to the tree Debian package, from arbitrary nested Python data structures, with configurable layout, sets of characters (ASCII or various Unicode line drawing), etc. It includes predefined structure traversal methods for (optionally ordered) dictionaries but allows the user to write their own to traverse custom data structures.

The mi R package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.

High-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files.