Debian Science Project
Summary
Data acquisition development
Debian Science - udviklingspakker for dataindhentelse

Denne metapakke vil installere Debian Science-pakker, som er nyttige indenfor udvikling af programmer til dataindhentelse. Dette kan bruges i flere videnskabsgrene.

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
Bibliotek til at læse/skrive dirfile-data - udviklingsfiler (C, C++, F77, F95)
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GetData-projektet er referenceimplementeringen for Dirfile-standarderne, et filsystembaseret, kolonneorienteret databaseformat for i tidsrækkefølge ordnede binære data. Dirfile-formatet er designet til at tilbyde et hurtigt, simpelt format for lagring og læsning af 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
Logning for TANGO - udviklingsbibliotek
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Log for TANGO er et bibliotek af C++-klasser for fleksibel logning til filer, syslog og andre destinationer. Biblioteket er modelleret efter Log for C++-biblioteket (http://jakarta.apache.org/log4j/) og forbliver så tæt på deres API, som er muligt.

Denne pakke indeholder udviklingsfilerne for log4tango5.

Liblxi-dev
LAN eXtensions for Instrumentation (LXI) - programgrænseflade
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Liblxi er et programbibliotek i åben kildekode, der tilbyder en simpel API til kommunikation med LXI-kompatible instrumenter. API'en tillader at programmer nemt kan registrere instrumenter på netværk og kommunikere SCPI-kommandoer.

Udviklingsfiler.

Libnarval1-dev
An Ada framework for Distributed Acquisition Systems (development)
Maintainer: Xavier Grave
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NARVAL is a framework that eases setting up of experimental data acquisition. It is written in Ada, supports user plugins written in C or C++. Using NARVAL, one can distribute many processes across a network to acquire, process, store data online. Processes are of four types: producer (injects data in NARVAL framework), consumer (end of the data flow), intermediate (act as NxM switches) and stand alone actor (no data flow handling, can be used for monitoring).

This package contains the files needed to develop NARVAL "actors" in Ada.

Libsdsl-dev
Succinct-datastrukturbibliotek - udviklingsfiler
Maintainer: Debian Science Team
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Succinct Data Structure Library (SDSL) er et funktionsrigt og fleksibelt C++11-bibliotek, der implementerer succinct-datastrukturer. Biblioteket indeholder højdepunkterne for 40 forskningsudgivelser. Succinct-datastrukturer kan repræsentere et objekt (såsom en bitvector eller et træ) i et rum og lukke den information-teoretiske nedre grænse for objektet mens det understøtter operationer for det originale objekt effektivt. Den teoretiske tidskompleksitet for en operation udført på den klassiske datastruktur og den tilsvarende succinct-datastruktur er (det meste af tiden) identisk.

Denne pakke installerer udviklingsfilerne.

Libtango-dev
TANGO distributed control system - development library
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TANGO is an object-oriented distributed control system using CORBA. In TANGO all objects are representations of devices, which can be on the same computer or distributed over a network. Communication between devices uses CORBA and can be synchronous, asynchronous or event driven.

The object model in TANGO supports methods, attributes and properties. TANGO provides an API which hides all the details of network access and provides object browsing, discovery, and security features. Permanent data is stored in a MySQL/MariaDB database.

TANGO is being actively developed as a collaborative effort between the ESRF (www.esrf.eu), Soleil (synchrotron-soleil.fr), Alba (www.cells.es), and Elettra institutes (www.elettra.trieste.it).

This package contains the tango9 development files.

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
Offentlige moduler for csvkit - Python 3
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Csvkit er en programpakke med værktøjer for kommandolinjen til at konvertere til og arbejde med CSV, kongen blandt tabular-filformaterne.

Programmet er inspireret af pdftk, gdal og det oprindelige csvcut-værktøj af Joe Germuska og Aaron Bycoffe.

Hvis du har brug for at udføre mere kompleks dataanalyse, så kan csvkit håndtere, bruge agate.

Denne pakke tilbyder modulerne for Python 3.

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-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
Videnskabeligt målebibliotek for Python
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PyMeasure gør videnskabelige målinger nemme at opsætte og afvikle.

Pakken indeholder et arkiv af instrumentklasser og et system for afvikling af eksperimentprocedurer, der tilbyder grafiske grænseflader for opbygning af grafer med live data og håndtering af køer med eksperimenter. Begge dele af pakken er uafhængig og når kombineret tilbydes alle de nødvendige krav for avancerede målinger og det med begrænset kodning.

Denne pakke tilbyder modulerne 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-xrayutilities
X-rays data reduction and analysis (Python 3)
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xrayutilities is a collection of scripts used to analyze X-rays diffraction data. It consists of a Python package and several routines coded in C. It especially useful for the reciprocal space conversion of diffraction data taken with linear and area detectors.

This is the Python 3 version of the package.

Official Debian packages with lower relevance

R-cran-mi
GNU R-pakke for Missing Data Imputation and Model Checking - mi
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R-pakken mi tilbyder funktioner for datamanipulering, indsættelse af manglende værdier i en omtrentlig bayesiansk ramme, diagnostik af modellerne brugt til at oprette indsættelserne, mekanismer til bygning af tillid for validering af nogle af antagelserne for indsættelsesalgoritmen. Funktioner til at analysere gangede indsatte datasæt med den passende grad af prøveusikkerhed.

R-cran-ncdf4
GNU R-grænseflade til Unidata netCDF-format - datafiler
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Højniveau R-grænseflade til datafiler skrevet via Unidatas netCDF-bibliotek (version 4 eller tidligere), som er binære datafiler der kan flyttes på tværs af platform og inkluderer information om metadata udover datasættene. Via brug af denne pakke kan netCDF-filer (enten version 4 eller »klassisk« version 3) åbnes og datasæt nemt læses. Det er også nemt at oprette nye netCDF-dimensioner, variabler og filer, i enten version 3- eller 4-format og manipulere eksisterende netCDF-filer.

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