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Marsilea is a Python library for creating composable visualizations in a declarative way. It is built on top of Matplotlib and provides a high-level API for you to puzzle different visualizations together like logo.
This package provides a stable interface for interactions between Snakemake and its storage plugins.
Uproot is a Python library for reading and writing ROOT files. It uses NumPy and does not depend on C++ ROOT.
This package implements many useful tools for projects involving fuzzy logic, also known as grey logic.
Baycomp is a library for Bayesian comparison of classifiers. Functions in the library compare two classifiers on one or on multiple data sets. They compute three probabilities: the probability that the first classifier has higher scores than the second, the probability that differences are within the region of practical equivalence (rope), or that the second classifier has higher scores.
python-pydicom is a Python library for reading and writing DICOM medical imaging data. It can read, modify and write DICOM data.
SALib provides tools for global sensitivity analysis. It contains Sobol', Morris, FAST, DGSM, PAWN, HDMR, Moment Independent and fractional factorial methods.
Scikit-opt (or sko) is a Python module implementing swarm intelligence algorithms: genetic algorithm, particle swarm optimization, simulated annealing, ant colony algorithm, immune algorithm, artificial fish swarm algorithm.
Dask is a flexible parallel computing library for analytics. It consists of two components: dynamic task scheduling optimized for computation, and large data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.
This package provides accelerated simulations and potentials of solids.
climin is a Python package for optimization, heavily biased to machine learning scenarios. It works on top of numpy and (partially) gnumpy.
Dvc objects provides a filesystem and object-db level abstractions to use in dvc and dvc-data.
This package provides fast numerical derivatives for analytic functions with arbitrary round-off error and error propagation.
This package provides a set of tools and Python modules for setting up, manipulating, running, visualizing and analyzing atomistic simulations.
Xarray (formerly xray) makes working with labelled multi-dimensional arrays simple, efficient, and fun!
Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures.
Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort.
This package implements schema validation for Xarray objects.
hepunits collects the most commonly used units and constants in the HEP System of Units, as derived from the basic units originally defined by the CLHEP project.
meshzoo is a mesh generator for finite element or finite volume computations for simple domains like regular polygons, disks, spheres, cubes, etc.
This package provides a Python package for time series classification.
Anndata is a package for simple (functional) high-level APIs for data analysis pipelines. In this context, it provides an efficient, scalable way of keeping track of data together with learned annotations and reduces the code overhead typically encountered when using a mostly object-oriented library such as scikit-learn.
The fastcluster package implements seven common hierarchical clustering schemes efficiently. The package is made with two interfaces to standard software: R and Python.
nibabel is a library that provides read and write access to common neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2 and later), GIFTI, NIfTI1, NIfTI2, CIFTI-2, MINC1, MINC2, AFNI BRIK/HEAD, ECAT and Philips PAR/REC. In addition, NiBabel also supports FreeSurfer’s MGH, geometry, annotation and morphometry files, and provides some limited support for DICOM.
This package provides a framework for building scientific applications. It aims to bring state of the art software design practices to scientific computing, with the goal of providing a strong skeleton on which to build scientific codes by steering the implementation towards usability and maintainability.