k3ylabs/cosoco-image-dataset huggingface dataset:
Package: pytidylib-doc (0.3.2~dfsg-7)
Section: universe/doc
Homepage: https://countergram.github.io/pytidylib/
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  Python wrapper for HTML Tidy (tidylib) documentation PyTidyLib is a Python package that wraps the HTML Tidy library. This allows you, from Python code, to “fix” invalid (X)HTML markup. Some of the library’s many capabilities include: .  * Clean up unclosed tags and unescaped characters such as ampersands  * Output HTML 4 or XHTML, strict or transitional, and add missing doctypes  * Convert named entities to numeric entities, which can then be used in XML    documents without an HTML doctype.  * Clean up HTML from programs such as Word (to an extent)  * Indent the output, including proper (i.e. no) indenting for pre elements,    which some (X)HTML indenting code overlooks. . This package contains the built HTML and PDF documentation for PyTidyLib.
Package: pytrainer (2.0.2-2)
Section: universe/utils
Homepage: https://github.com/pytrainer/pytrainer
Depends: python3-dateutil, python3-lxml, python3-matplotlib, python3-migrate, python3-sqlalchemy, python3:any, python3-gi, gir1.2-gtk-3.0, python3-cairo
Description:  desktop application for logging sport activities Pytrainer is a desktop application for logging and graphing sporting activities such as running or cycling sessions. Data can be imported from GPS devices, files or input manually. Currently pytrainer supports GPX, TCX and FIT files.
Package: pyvcf (0.6.8+git20170215.476169c-8build1)
Section: universe/python
Homepage: https://github.com/jamescasbon/PyVCF
Depends: python3:any, python3-vcf
Description:  helper scripts for Variant Call Format (VCF) parser The Variant Call Format (VCF) specifies the format of a text file used in bioinformatics for storing gene sequence variations. The format has been developed with the advent of large-scale genotyping and DNA sequencing projects, such as the 1000 Genomes Project. . The intent of this module is to mimic the ``csv`` module in the Python stdlib, as opposed to more flexible serialization formats like JSON or YAML. ``vcf`` will attempt to parse the content of each record based on the data types specified in the meta-information lines -- specifically the ##INFO and ##FORMAT lines. If these lines are missing or incomplete, it will check against the reserved types mentioned in the spec. Failing that, it will just return strings. . This package provides helper scripts using python3-pyvcf.
Package: pywps-doc (4.5.1-1)
Section: universe/doc
Homepage: https://pywps.org
Depends: libjs-mathjax, libjs-sphinxdoc (>= 2.4.3-5~)
Description:  Implementation of OGC's Web Processing Service - Documentation PyWPS is implementation of Web Processing Service from Open Geospatial Consortium Inc.(R) with help of  Python Programming Language and GIS GRASS as working tool in background. . This package contains the pywps documentation.
Package: pywps-wsgi (4.5.1-1)
Section: universe/web
Homepage: https://pywps.org
Depends: libapache2-mod-wsgi-py3 | httpd-wsgi
Description:  Implementation of OGC's Web Processing Service - WSGI example PyWPS is implementation of Web Processing Service from Open Geospatial Consortium Inc.(R) with help of  Python Programming Language and GIS GRASS as working tool in background. . This package contains the wps.py WSGI script and process examples.
Package: pywps (4.5.1-1)
Section: universe/web
Homepage: https://pywps.org
Depends: python3-pywps (>= 4.5.1-1), pywps-wsgi (>= 4.5.1-1)
Description:  Implementation of OGC's Web Processing Service PyWPS is implementation of Web Processing Service from Open Geospatial Consortium Inc.(R) with help of  Python Programming Language and GIS GRASS as working tool in background. . This metapackage depends on the pywps Python module and WSGI example.
Package: pyxplot-doc (0.9.2-12build1)
Section: universe/doc
Homepage: http://www.pyxplot.org.uk/
Description:  documentation for pyxplot data plotting program Pyxplot is a multi-purpose graph plotting tool, scientific scripting language, vector graphics suite, and data processing package. Its interface is designed to make common tasks -- e.g., plotting labelled graphs of data -- accessible via short, simple, intuitive commands. . Pyxplot produces publication-quality figures. To this end, text is rendered with all of the beauty and flexibility of the LaTeX typesetting environment. . This package includes extensive documentation and examples. A gallery of sample plots is available from the project's web site.
Package: pyxplot (0.9.2-12build1)
Section: universe/math
Homepage: http://www.pyxplot.org.uk/
Depends: texlive-latex-base, texlive-latex-extra, libc6 (>= 2.34), libcfitsio9 (>= 3.480~), libfftw3-double3 (>= 3.3.5), libgsl27 (>= 2.7.1), libkpathsea6 (>= 2021.20210626.59705), libpng16-16 (>= 1.6.2-1), libreadline8 (>= 6.0), libxml2 (>= 2.7.4), zlib1g (>= 1:1.1.4)
Description:  data plotting program producing publication-quality output Pyxplot is a multi-purpose graph plotting tool, scientific scripting language, vector graphics suite, and data processing package. Its interface is designed to make common tasks -- e.g., plotting labelled graphs of data -- accessible via short, simple, intuitive commands. . Pyxplot produces publication-quality figures. To this end, text is rendered with all of the beauty and flexibility of the LaTeX typesetting environment. . Extensive documentation and examples can be found in the pyxplot-doc package. A gallery of sample plots is available from the project's web site.
Package: pyzfs-doc (2.1.5-1ubuntu6~22.04.2)
Section: doc
Homepage: https://zfsonlinux.org/
Depends: libjs-sphinxdoc (>= 4.3)
Description:  wrapper for libzfs_core C library (documentation) libzfs_core is intended to be a stable interface for programmatic administration of ZFS. This wrapper provides one-to-one wrappers for libzfs_core API functions, but the signatures and types are more natural to Python. . nvlists are wrapped as dictionaries or lists depending on their usage. Some parameters have default values depending on typical use for increased convenience. Enumerations and bit flags become strings and lists of strings in Python. Errors are reported as exceptions rather than integer errno-style error codes.  The wrapper takes care to provide one-to-many mapping of the error codes to the exceptions by interpreting a context in which the error code is produced. . This package contains the documentation.
Package: pyzo-doc (4.11.2-1)
Section: universe/doc
Homepage: http://www.pyzo.org/
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  documentation for Pyzo Pyzo is a cross-platform Python IDE focused on interactivity and introspection, which makes it very suitable for scientific computing. Its practical design is aimed at simplicity and efficiency. . It consists of two main components, the editor and the shell, and uses a set of pluggable tools to help the programmer in various ways. Some example tools are source structure, project manager, interactive help, workspace... . Pyzo is written in (pure) Python 3 and uses the Qt GUI toolkit. Binaries are provided for all major operating system. After installing Pyzo, it can be used to execute code on any Python version available on your system (Python 2.4 - 3.x, including Pypy). . This package provides the documentation for the Pyzo IDE.
Package: pyzo (4.11.2-1)
Section: universe/science
Homepage: http://www.pyzo.org/
Depends: famfamfam-silk (>= 1.3), fonts-dejavu-core (>= 2.37), fonts-dejavu-extra (>= 2.37), python3:any, python3-qtpy, python3-pkg-resources
Description:  interactive editor for scientific Python Pyzo is a cross-platform Python IDE focused on interactivity and introspection, which makes it very suitable for scientific computing. Its practical design is aimed at simplicity and efficiency. . It consists of two main components, the editor and the shell, and uses a set of pluggable tools to help the programmer in various ways. Some example tools are source structure, project manager, interactive help, workspace... . Pyzo is written in (pure) Python 3 and uses the Qt GUI toolkit. Binaries are provided for all major operating system. After installing Pyzo, it can be used to execute code on any Python version available on your system (Python 2.4 - 3.x, including Pypy). . This package provides the Pyzo IDE.
Package: pyzor-doc (1:1.0.0-6)
Section: universe/doc
Homepage: https://github.com/SpamExperts/pyzor
Depends: libjs-sphinxdoc (>= 2.4.3-5~), libjs-mathjax
Description:  spam-catcher using a collaborative filtering network (documentation) Pyzor is a collaborative, networked system to detect and block spam using identifying digests of messages. . Package contains both client and server. . The client can check if an email is a known spam against a pyzor server or report new spam digests to that server. . The server holds the digests database, and handle the client requests. . Pyzor is a reimplementation of Razor in Python. . This is the documentation package.
Package: pyzor (1:1.0.0-6)
Section: universe/mail
Homepage: https://github.com/SpamExperts/pyzor
Depends: python3:any
Description:  spam-catcher using a collaborative filtering network Pyzor is a collaborative, networked system to detect and block spam using identifying digests of messages. . Package contains both client and server. . The client can check if an email is a known spam against a pyzor server or report new spam digests to that server. . The server holds the digests database, and handle the client requests. . Pyzor is a reimplementation of Razor in Python.
Package: q2-alignment (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-setuptools, python3-skbio, qiime (>= 2021.8.0), mafft, q2-types (>= 2021.8.0)
Description:  QIIME 2 plugin for generating and manipulating alignments QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-cutadapt (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-numpy, python3-pandas, cutadapt, pigz, qiime (>= 2021.8.0), q2-types (>= 2021.8.0)
Description:  QIIME 2 plugin to work with adapters in sequence data QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-dada2 (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, r-base-core, r-bioc-dada2, qiime (>= 2021.8.0), q2-types (>= 2021.8.0), python3-biom-format, python3-skbio
Description:  QIIME 2 plugin to work with adapters in sequence data QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed. . This package wraps the dada2 R package in BioConductor for modeling and correcting Illumina-sequenced amplicon errors. This was shown to improve the sensitivity of diversity analyses.
Package: q2-demux (2021.8.0+dfsg-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-setuptools, python3-numpy, python3-pandas, python3-skbio, python3-seaborn, python3-yaml, python3-psutil, python3-ipywidgets, qiime (>= 2021.8.0), q2-types (>= 2021.8.0), q2templates (>= 2021.8.0), node-d3
Description:  QIIME 2 plugin for demultiplexing of sequence reads QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-feature-classifier (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-sklearn, python3-skbio, python3-joblib, python3-biom-format, ncbi-blast+, vsearch, qiime (>= 2021.8.0), q2-types (>= 2021.8.0), q2-quality-control (>= 2021.8.0), q2-taxa (>= 2021.8.0), q2-feature-table (>= 2021.8.0)
Description:  QIIME 2 plugin supporting taxonomic classification QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-feature-table (2021.8.0+dfsg-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-skbio, python3-biom-format, python3-h5py, python3-seaborn, python3-numpy, python3-ipywidgets, qiime (>= 2021.8.0), q2templates (>= 2021.8.0), q2-types (>= 2021.8.0)
Description:  QIIME 2 plugin supporting operations on feature tables QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-fragment-insertion (2021.8.0-3)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, qiime (>= 2020.11.0), python3-biom-format, python3-skbio, q2-types
Description:  QIIME 2 plugin for fragment insertion QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-metadata (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-numpy, python3-scipy, python3-pandas, python3-skbio, libjs-jquery-datatables, qiime (>= 2021.8.0), q2templates (>= 2021.8.0), q2-types (>= 2021.8.0)
Description:  QIIME 2 plugin for working with and visualizing Metadata QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-phylogeny (2021.4.0-2)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-skbio, python3-setuptools, qiime, fasttree, iqtree, mafft, raxml, q2-types, q2-alignment
Description:  QIIME 2 plugin for phylogeny QIIME 2 plugin for phylogenetic reconstruction, and operations on phylogenetic trees.
Package: q2-quality-control (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-biom-format, python3-h5py, python3-seaborn, python3-numpy, python3-pandas, python3-scipy, qiime (>= 2021.8.0), q2templates (>= 2021.8.0), q2-taxa (>= 2021.8.0), bowtie2, ncbi-blast+, samtools, vsearch
Description:  QIIME 2 plugin for quality assurance of feature and sequence data QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.
Package: q2-quality-filter (2021.8.0-1)
Section: universe/science
Homepage: https://qiime2.org/
Depends: python3:any, python3-pandas, qiime (>= 2021.8.0), q2templates (>= 2021.8.0), q2-types (>= 2021.8.0)
Description:  QIIME2 plugin for PHRED-based filtering and trimming QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:  * Integrated and automatic tracking of data provenance  * Semantic type system  * Plugin system for extending microbiome analysis functionality  * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.