[ Source: debian-science ]
Пакунок: science-datamanagement (1.14.5)
Links for science-datamanagement
Debian Resources:
Download Source Package debian-science:
Maintainers:
External Resources:
- Homepage [wiki.debian.org]
Similar packages:
Debian Science Data Management packages
This metapackage will install packages to assist with data management tasks, such as obtaining data from remote resources, keeping data under version control, etc.
Інші пакунки пов'язані з science-datamanagement
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- dep: science-config (= 1.14.5)
- Debian Science Project config package
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- dep: science-tasks (= 1.14.5)
- Науковий набір Debian — задачі для tasksel
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- rec: datalad
- data files management and distribution platform
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- rec: datalad-container
- DataLad extension for working with containerized environments
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- rec: git-annex
- manage files with git, without checking their contents into git
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- rec: hdf5-filter-plugin
- external filters for HDF5: LZ4, BZip2, Bitshuffle
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- rec: hdf5-filter-plugin-blosc-serial
- blocking, shuffling and lossless compression library
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- rec: hdf5-filter-plugin-zfp-serial
- Compression plugin for the HDF5 library using ZFP compression
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- rec: nexus-tools
- NeXus scientific data file format - applications
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- rec: plfit
- fitting power-law distributions to empirical data -- interfaces
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- rec: python3-jdata
- JData encoder/decoder for python 3
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- rec: python3-mdp
- Modular toolkit for Data Processing
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- rec: python3-nxs
- NeXus scientific data file format - Python 3 binding
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- rec: python3-pyzoltan
- Wrapper for the Zoltan data management library
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- rec: virtuoso-opensource
- Високо-продуктивна база даних
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- sug: libnexus-dev
- NeXus scientific data file format - development libraries
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- sug: libnexus-java
- NeXus scientific data file format - java libraries
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- sug: libplfit-dev
- fitting power-law distributions to empirical data -- development
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- sug: python3-openpyxl
- Python 3 module to read/write OpenXML xlsx/xlsm files
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- sug: python3-opentsne
- t-Distributed Stochastic Neighbor Embedding algorithm
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- sug: python3-plfit
- fitting power-law distributions to empirical data -- Python
Завантажити science-datamanagement
| Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
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| all | 10.1 kB | 31.0 kB | [список файлів] |