Debian Science Project
Summary
Data acquisition development
Debian Science data acquisition development packages

This metapackage will install Debian Science packages which are helpful to develop applications related to data acquisition. This might be used in several sciences.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Science to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Science mailing list

Links to other tasks

Debian Science Data acquisition development packages

Official Debian packages with high relevance

libgetdata-dev
library to read/write dirfile data - devel files (C, C++, F77, F95)
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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.

libgetdata-perl
library to read/write dirfile data - perl bindings
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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.

liblog4tango-dev
journalisation pour TANGO –⋅bibliothèque de développement
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Log pour TANGO est une bibliothèque de classes C++ pour une journalisation souple dans des fichiers, syslog ou d'autres destinations. Il est construit sur le modèle de Log pour la bibliothèque C++ (http://jakarta.apache.org/log4j/), restant aussi proche de son API que cela est possible.

Ce paquet fournit les fichiers fichiers de développement de log4tango5.

liblxi-dev
LAN eXtensions for Instrumentation (LXI) software interface
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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

libopen3d-dev
Library for 3D data processing - development headers
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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++

Please cite: Qian-Yi Zhou, Jaesik Park and Vladlen Koltun: Open3D: A Modern Library for 3D Data Processing arXiv:1801.09847 (2018)
libopenrefine-arithcode-java
Java implementation of arithmetic coding and PPM compression
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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.

libopenrefine-vicino-java
near-neighbor search tool for Java
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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.

libsdsl-dev
succinct data structure library - development files
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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.

libtango-dev
système de contrôle distribué TANGO –⋅bibliothèque de développement
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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.

libvnlog-dev
Toolkit to read/write/manipulate whitespace-separated ASCII logs
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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.

libvnlog-perl
Toolkit to read/write/manipulate whitespace-separated ASCII logs
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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.

mseed2sac
Convert MiniSEED time series data to SAC
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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.

python3-aws-xray-sdk
AWS X-Ray SDK for Python 3
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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.

python3-csvkit
public modules for csvkit (Python 3)
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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.

python3-datacache
helpers for transparently downloading datasets
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External data is often distributed as "flat files", i.e. dumps into a mostly human-readable format that one could open as a spreadsheet and equally easy parse and index or reimport into a local database. When the text file changes, the database needs to be updated, too. If access to the database is first required, the text file needs to be downloaded first and the database created. Remote updates also require local updates.

This package provides a set of helper functions to address the handling of remote files and the curation of local databases derived from them.

python3-guidata
dataset manipulation GUI generator - Python 3
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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.

python3-intake
lightweight package for finding and investigating data
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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.
python3-open3d
Library for 3D data processing - Python 3 bindings
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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.

Please cite: Qian-Yi Zhou, Jaesik Park and Vladlen Koltun: Open3D: A Modern Library for 3D Data Processing arXiv:1801.09847 (2018)
python3-pygetdata
library to read/write dirfile data - Python3 bindings
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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.

python3-pymeasure
scientific measurement library for Python
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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.

python3-segyio
SEG-Y read/write library for seismic processing (python3 bindings)
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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.

python3-tango
API for the TANGO control system (Python 3)
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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.

python3-trx-python
implementation of the trx file-format for tractography data
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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.

python3-vnlog
Toolkit to read/write/manipulate whitespace-separated ASCII logs
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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.

python3-xrayutilities
réduction et analyse de rayons X – Python 3
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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.

Official Debian packages with lower relevance

libbcm2835-dev
access to GPIO and other IO functions on the Broadcom BCM 2835 chip
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sid1.75+ds-1amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x
bookworm1.71+ds-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie1.75+ds-1amd64,arm64,armel,armhf,i386,mips64el,ppc64el,s390x
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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.

python3-asciitree
Draw tree structures using (ASCII or Unicode) characters
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sid0.3.3-4all
bookworm0.3.3-3all
bullseye0.3.3-2all
trixie0.3.3-4all
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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.

r-cran-mi
GNU R package for Missing Data Imputation and Model Checking -- mi
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buster1.0-7all
stretch1.0-4+deb9u1all
sid1.1-1all
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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.

r-cran-ncdf4
GNU R interface to Unidata netCDF format data files
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jessie1.13-1amd64,armel,armhf,i386
stretch1.15-1amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x
buster1.16-2amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x
bullseye1.17-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bookworm1.21-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie1.22-1amd64,arm64,armel,armhf,i386,mips64el,ppc64el,s390x
sid1.22-1amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x
Popcon: 154 users (82 upd.)*
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License: DFSG free
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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.

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