affine
- Ebuilds: 1, Testing: 2.3.0 Description:
Affine is a python library for handling affine transformations of the plane.
Georeferenced raster datasets use affine transformations to map from image
coordinates to world coordinates.
Homepage:https://github.com/rasterio/affine License: BSD
anndata
- Ebuilds: 1, Testing: 0.11.4 Description: Handling annotated data matrices in memory and on disk
Homepage:http://anndata.readthedocs.io/ License: BSD
annexremote
- Ebuilds: 1, Testing: 1.6.5 Description:
Helper module to easily develop special remotes for git annex. AnnexRemote
handles all the protocol stuff for you, so you can focus on the remote
itself. It implements the complete external special remote protocol and
fulfils all specifications regarding whitespaces etc.
Homepage:https://github.com/Lykos153/AnnexRemote License: GPL-3
archspec
- Ebuilds: 2, Testing: 0.2.5 Description:
Archspec aims at providing a standard set of human-understandable labels for various aspects of a system architecture like CPU, network fabrics, etc. and APIs to detect, query and compare them.
Homepage:https://archspec.readthedocs.io/en/latest/index.html License: MIT
astroquery
- Ebuilds: 1, Testing: 0.4.6 Description:
Astroquery is a package containing a collection of tools to use
online astronomical databases. It integrates with Astropy and aims
to support many services with a uniform API.
Homepage:https://astroquery.readthedocs.io/ License: BSD
autograd
- Ebuilds: 2, Testing: 9999 Description:
Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization.
Homepage:
https://github.com/HIPS/autograd
bokeh
- Ebuilds: 1, Testing: 2.4.2 Description:
Bokeh is a Python interactive visualization library for large
datasets that natively uses the latest web technologies. Its goal is
to provide elegant, concise construction of novel graphics in the
style of Protovis/D3, while delivering high-performance
interactivity over large data to thin clients.
Homepage:https://bokeh.org/ License: BSD
ccdproc
- Ebuilds: 1, Testing: 2.3.0-r1 Description:
ccdproc is a AstroPy-affliated package for the basic reduction of
CCD images. It provides a framework for accounting for error propagation
and bad pixel tracking through the reduction steps.
Homepage:https://github.com/astropy/ccdproc License: BSD
cligj
- Ebuilds: 1, Testing: 0.7.2 Description:
cligj is for Python developers who create command line interfaces for
geospatial data. cligj allows you to quickly build consistent,
well-tested and interoperable CLIs for handling GeoJSON.
Homepage:https://github.com/mapbox/cligj License: BSD
conda-inject
- Ebuilds: 1, Testing: 1.3.1 Description: Helper functions for injecting a conda environment into the current python environment
Homepage:https://pypi.org/project/conda-inject/ License: MIT
cymbal
- Ebuilds: 1, Testing: 1.0.0-r1 Description: Add functionality missing from the python libclang bindings
Homepage:https://pypi.org/project/cymbal/ License: MIT
dandi-schema
- Ebuilds: 1, Testing: 0.9.1 Description:
A Python library for maintaining and managing DANDI metadata schemata.
The library helps create and validate DANDI schema-compliant metadata
for Dandisets and assets. Every Dandiset and associated asset has a
metadata object that can be retrieved using the DANDI API. This
library uses Pydantic to implement all the metadata classes. Schemas
are generated on schema modifications and placed into this repository.
Dandischema generates JSON schema definitions and also an associated
context.json file for JSON-LD compliance of the metadata models.
Homepage:https://github.com/dandi/dandi-schema License: Apache-2.0
dask-histogram
- Ebuilds: 1, Testing: 2025.2.0 Description:
Dask-histogram provides a new collection type for lazily constructing histogram objects. The API provided by boost-histogram is leveraged to calculate histograms on chunked/partitioned data from the core Dask Array and DataFrame collections.
Homepage:
https://github.com/dask-contrib/dask-histogram
https://dask-histogram.readthedocs.io/
License: BSD
fiona
- Ebuilds: 2, Testing: 1.10.1 Description:
Fiona reads and writes geographic data files and thereby helps Python
programmers integrate geographic information systems with other
computer systems. Fiona contains extension modules that link the
Geospatial Data Abstraction Library (GDAL).
Homepage:https://github.com/Toblerity/fiona License: BSD
flexcache
- Ebuilds: 2, Testing: 9999 Description: Saves and loads to the cache a transformed versions of a source object.
Homepage:https://github.com/hgrecco/flexcache License: BSD
fscacher
- Ebuilds: 1, Testing: 0.2.0-r1 Description:
fscacher provides a cache and decorator for memoizing functions whose
outputs depend upon the contents of a file argument. If you have a
function `foo()` that takes a file path as its first argument, and if
the behavior of `foo()` is pure in the contents of the path and the
values of its other arguments, fscacher can help cache that function,
Homepage:https://github.com/con/fscacher License: MIT
fslpy
- Ebuilds: 1, Testing: 3.10.0 Description:
The fslpy project is an FSL programming library written (for the processing
of neuroimaging data) in Python. It is used by the FSLeyes visualization
packag visualization
package.
Homepage:https://git.fmrib.ox.ac.uk/fsl/fslpy License: BSD
gammapy
- Ebuilds: 1, Testing: 1.0 Description:
Gammapy is a package for simulating and analysing gamma-ray sky data.
It is currently designed to support users of telescopes such as Fermi,
H.E.S.S, and CTA in primarily Galactic plane survey studies.
Homepage:https://github.com/gammapy/gammapy License: BSD
geopandas
- Ebuilds: 2, Testing: 1.0.1 Description:
GeoPandas is a project to add support for geographic data to pandas
objects. It currently implements GeoSeries and GeoDataFrame types
which are subclasses of pandas.Series and pandas.DataFrame
respectively. GeoPandas objects can act on shapely geometry objects
and perform geometric operations.
Homepage:
https://github.com/geopandas/geopandas
https://pypi.org/project/geopandas/
License: BSD
grabbit
- Ebuilds: 1, Testing: 0.2.6-r1 Description:
Grabbit is a lightweight Python 3 package for simple queries over filenames
within a project. It's geared towards projects or applications with highly
structured filenames that allow useful queries to be performed without having
to inspect the file metadata or contents.
Homepage:https://github.com/grabbles/grabbit License: MIT
hdbscan
- Ebuilds: 1, Testing: 0.8.41 Description:
HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with
Noise. Performs DBSCAN over varying epsilon values and integrates the result
to find a clustering that gives the best stability over epsilon. This allows
HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more
robust to parameter selection.
In practice this means that HDBSCAN returns a good clustering straight away
with little or no parameter tuning -- and the primary parameter, minimum
cluster size, is intuitive and easy to select. HDBSCAN is ideal for
exploratory data analysis; it's a fast and robust algorithm that you can
trust to return meaningful clusters (if there are any).
Homepage:https://github.com/scikit-learn-contrib/hdbscan License: BSD
hdf5storage
- Ebuilds: 2, Testing: 9999, 0.1.19 Description:
This Python package provides high level utilities to read/write a
variety of Python types to/from HDF5 (Heirarchal Data Format)
formatted files. This package also provides support for MATLAB MAT
v7.3 formatted files, which are just HDF5 files with a different
extension and some extra meta-data.
Homepage:https://github.com/frejanordsiek/hdf5storage
hdmf
- Ebuilds: 1, Testing: 3.14.3 Description:
The Hierarchical Data Modeling Framework, or HDMF, is a Python package
for working with hierarchical data. It provides APIs for specifying
data models, reading and writing data to different storage backends,
and representing data with Python object.
Homepage:https://github.com/hdmf-dev/hdmf License: BSD
histoprint
- Ebuilds: 3, Testing: 2.6.0 Description:
Histoprint uses a mix of terminal color codes and Unicode trickery (i.e. combining characters) to plot overlaying histograms. Some terminals are not able to display Unicode combining characters correctly. Histoprint can still be used in those terminals, but the character set needs to be constrained to the non-combining ones (see below).
Homepage:https://github.com/scikit-hep/histoprint License: MIT
holoviews
- Ebuilds: 1, Testing: 1.15.3-r1 Description: Make data analysis and visualization seamless and simple
Homepage:https://holoviews.org License: BSD
interleave
- Ebuilds: 1, Testing: 0.2.0 Description:
The interleave package provides a function of the same name that
takes a number of iterators, runs them in separate threads, and
yields the values produced as soon as each one is available.
Homepage:https://github.com/jwodder/interleave License: MIT
jacobi
- Ebuilds: 2, Testing: 0.9.2 Description:
Robustly compute the generalised Jacobi matrix for an arbitrary real analytic mapping ℝⁿ → ℝⁱ¹ × ... × ℝⁱⁿ
Returns error estimates for derivatives
Perform statistical error propagation based on numerically computed jacobian
Homepage:https://github.com/HDembinski/jacobi License: MIT
kmapper
- Ebuilds: 1, Testing: 2.0.1-r1 Description: Python implementation of Mapper algorithm for Topological Data Analysis
Homepage:https://kepler-mapper.scikit-tda.org License: MIT
neo
- Ebuilds: 1, Testing: 0.12.0 Description:
Neo is a Python package for working with electrophysiology data in Python,
together with support for reading a wide range of neurophysiology file
formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock,
Plexon, Tdt, and support for writing to a subset of these formats plus
non-proprietary formats including HDF5.
Homepage:https://github.com/NeuralEnsemble/python-neo License: MIT
num2words
- Ebuilds: 1, Testing: 0.5.10-r1 Description:
The num2words library converts numbers like 42 to words like forty-two.
It supports multiple languages (see the list below for full list of
languages) and can even generate ordinal numbers like forty-second
(although this last feature is a bit buggy for some languages at the moment).
Homepage:https://github.com/savoirfairelinux/num2words License: MIT
numdifftools
- Ebuilds: 2, Testing: 0.9.42 Description:
The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.
Homepage:
https://github.com/pbord/numdifftools
License: BSD
nwb2bids
- Ebuilds: 1, Testing: 0.0.3 Description: Next-generation file format (NGFF) for storing bioimaging data in the cloud
Homepage:https://github.com/con/nwb2bids License: BSD-2
panel
- Ebuilds: 1, Testing: 0.14.2-r1 Description: High-level app and dashboarding solution for Python
Homepage:https://panel.holoviz.org License: BSD
param
- Ebuilds: 2, Testing: 1.12.3 Description: Make Python code clearer and more reliable by declaring Parameters
Homepage:https://param.holoviz.org License: BSD
persim
- Ebuilds: 1, Testing: 0.3.1 Description: Distances and representations of persistence diagrams
Homepage:https://persim.scikit-tda.org/ License: MIT
photutils
- Ebuilds: 1, Testing: 1.6.0 Description:
photutils is a python package for determining photometric properties
of sources in astronomical images. This includes source detection,
centroid and shape parameters, and performing photometry.
Homepage:https://github.com/astropy/photutils License: BSD
plac
- Ebuilds: 1, Testing: 1.4.5 Description: Parsing the Command Line the Easy Way
Homepage:https://pypi.org/project/plac/ License: BSD
prov
- Ebuilds: 1, Testing: 2.0.0 Description:
A library for W3C Provenance Data Model supporting PROV-O
(RDF), PROV-XML, PROV-JSON import/export Interface to
Graphviz’s Dot language.
Homepage:https://pypi.org/project/prov/ License: MIT
pyfaidx
- Ebuilds: 1, Testing: 0.9.0.3 Description: Efficient pythonic random access to fasta subsequences
Homepage:https://github.com/mdshw5/pyfaidx License: MIT
pynndescent
- Ebuilds: 1, Testing: 0.5.13 Description: Fast approximate nearest-neighbour search via Nearest-Neighbour Descent
Homepage:https://pynndescent.readthedocs.io/ License: BSD
pynrrd
- Ebuilds: 3, Testing: 1.0.0 Description:
Pynrrd is a pure-Python module for reading and writing nrrd
(Nearly Raw Raster Data, a file format for storing N-dimensional
raster data and often used for DTI data) files into and from
numpy arrays.
Homepage:https://github.com/mhe/pynrrd License: BSD
pynwb
- Ebuilds: 1, Testing: 2.8.1 Description:
PyNWB is a Python package for working with NWB files. It provides a
high-level API for efficiently working with Neurodata stored in the NWB
format. Neurodata Without Borders: Neurophysiology (NWB:N) is a project
to develop a unified data format for cellular-based neurophysiology
data, focused on the dynamics of groups of neurons measured under a
large range of experimental conditions.
Homepage:https://github.com/NeurodataWithoutBorders/pynwb License: BSD
pyout
- Ebuilds: 1, Testing: 0.7.3 Description:
pyout is a Python package that defines an interface for writing
structured records as a table in a terminal. It is being developed to
replace custom code for displaying tabular data in in ReproMan and
DataLad. See the Examples folder for how to get started. A primary
goal of the interface is the separation of content from style and
presentation.
Homepage:https://github.com/pyout/pyout License: MIT
pysolar
- Ebuilds: 1, Testing: 0.10 Description:
Pysolar is a collection of Python libraries for simulating the
irradiation of any point on earth by the sun. It includes code for
extremely precise ephemeris calculations, and more. Pysolar can
calculate the location of the sun or the shading percentage as a
function of time for a row of 2-axis tracked panels.
Homepage:https://pysolar.org/ License: GPL-3
python-gantt
- Ebuilds: 1, Testing: 0.6.0_p20200809-r1 Description:
Python-Gantt makes it possible to easily draw gantt charts from Python
and export outputs as scalable vector graphics (SVG).
Homepage:https://pypi.org/project/python-gantt/ License: GPL-3
python-igraph
- Ebuilds: 1, Testing: 0.10.4 Description: Python interface for igraph
Homepage:https://igraph.org License: MIT
python-rapidjson
- Ebuilds: 2, Testing: 1.23 Description:
RapidJSON is an extremely fast C++ JSON parser and serialization library: this module wraps it into a Python 3 extension, exposing its serialization/deserialization (to/from either bytes, str or file-like instances) and JSON Schema validation capabilities.
Homepage:
https://github.com/python-rapidjson/python-rapidjson
License: BSD
pyviz_comms
- Ebuilds: 1, Testing: 2.2.0-r1 Description: Bidirectional communication for the HoloViz ecosystem
Homepage:https://holoviz.org License: BSD
pyvote
- Ebuilds: 1, Testing: 0.1-r1 Description:
This package provides a Python module and a Bash interface which can
compute the probability of a 2-choice popular election being decided by
one vote. Predictions are based on either a series of forecasts, a beta
(or normal) probability density function for outcomes, or a fixed
outcome probability.
Homepage:https://github.com/TheChymera/pyvote.git License: GPL-3
pyzo
- Ebuilds: 1, Testing: 4.12.7 Description: The Python IDE for scientific computing
Homepage:https://pyzo.org/ License: BSD-2
regions
- Ebuilds: 1, Testing: 0.7 Description:
Gammapy is a package for simulating and analysing gamma-ray sky data.
It is currently designed to support users of telescopes such as Fermi,
H.E.S.S, and CTA in primarily Galactic plane survey studies.
Homepage:https://github.com/astropy/regions License: BSD
repsep_utils
- Ebuilds: 3, Testing: 0.3.1 Description:
Utilities for compiling and developing RepSeP-style articles, such as the
reference implementation. The package contains generic boilerplate code for
PythonTeX-interaction, as used by all RepSeP-style articles, as well as an
executable file allowing single-script execution for development and
debugging purposes.
Homepage:https://github.com/TheChymera/repsep_utils License: GPL-2
resample
- Ebuilds: 1, Testing: 1.10.1 Description:
Resampling-based inference in Python based on data resampling and permutation.
Homepage:https://github.com/scikit-hep/resample License: BSD
ripser
- Ebuilds: 1, Testing: 0.6.4 Description: python frontend for the fast ripser tda tool
Homepage:https://ripser.scikit-tda.org/ License: MIT
scooby
- Ebuilds: 1, Testing: 0.5.7-r1 Description: Easily report Python package versions and hardware resources
Homepage:https://pypi.org/project/scooby/ License: MIT
snuggs
- Ebuilds: 1, Testing: 1.4.7 Description:
Snuggs library parses S-expressions using numpy. Available function
include arithmetic and logical operators. Also members of the numpy
module such as "asarray()", "mean()" and "where" are available.
Homepage:https://github.com/mapbox/snuggs License: MIT
specutils
- Ebuilds: 1, Testing: 1.9.1 Description:
specutils is a package to implement utilities and data structures to
analyse astronomical spectra within python. It extends NDData from Astropy
into a class with special handling of 1D spectra.
Homepage:https://github.com/astropy/specutils License: BSD
sphinx-astropy
- Ebuilds: 1, Testing: 1.8.0 Description: Sphinx extensions and configuration specific to the Astropy project
Homepage:https://www.astropy.org/ License: BSD
sphinx-automodapi
- Ebuilds: 1, Testing: 0.14.1-r1 Description: Sphinx extension for auto-generating API documentation for entire modules
Homepage:https://www.astropy.org/ License: BSD
stopit
- Ebuilds: 1, Testing: 1.1.2 Description: Timeout control decorator and context managers
Homepage:https://pypi.org/project/stopit License: MIT
tex2pix
- Ebuilds: 1, Testing: 0.3.1 Description:
A little library which renders LaTeX to various formats, using applications on your system like latex, pdflatex, bibtex, dvips, ps2eps, and convert. LaTeX is automatically run as many times as necessary to achieve a clean compile (with a user-provided max number of attempts), and Bibtex processing is supported.
Homepage:https://pypi.org/project/tex2pix/ License: GPL-3+
traits
- Ebuilds: 1, Testing: 6.4.3 Description:
The traits package from the Enthought Tool Suite provides a
metaclass with special attributes that are called traits. A trait
is a type definition that can be used for normal Python object
attributes, giving the attributes some additional characteristics:
* Initialization: A trait attribute can have a default value
* Validation: A trait attribute is manifestly typed.
* Delegation: The value of a trait attribute can be contained in another object
* Notification: Setting the value of a trait attribute can fired callbacks
* Visualization: With the TraitsUI package, GUIs can be generated automatically from traited objects.
Homepage:
https://docs.enthought.com/traits/
https://github.com/enthought/traits
License: BSD
uhi
- Ebuilds: 4, Testing: 9999 Description:
This is a package meant primarily for documenting histogram indexing and the PlottableHistogram Protocol and any future cross-library standards. It also contains the code for the PlottableHistogram Protocol, to be used in type checking libraries wanting to conform to the protocol. Eventually, it might gain a set of tools for testing conformance to UHI indexing, as well. It is not usually a runtime dependency, but only a type checking, testing, and/or docs dependency in support of other libraries (such as boost-histogram 0.13+, hist 2.1+, mplhep 0.2.15+, uproot 4+, and histoprint 2+). There are a few useful runtime usable components (listed below). It requires Python 3.6+. See what's new.
Homepage:https://github.com/scikit-hep/uhi License: BSD
umap-learn
- Ebuilds: 1, Testing: 0.5.9_p2 Description: Uniform Manifold Approximation and Projection – fast non-linear dimension reduction
Homepage:https://github.com/lmcinnes/umap License: BSD
visvis
- Ebuilds: 1, Testing: 1.14.0 Description: An object oriented approach to visualization of 1D to 4D data
Homepage:https://github.com/almarklein/visvis License: BSD