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vedo is a fast and lightweight python module for scientific analysis and visualization. The package provides a wide range of functionalities for working with three-dimensional meshes and point clouds. It can also be used to generate high quality two-dimensional renderings such as scatter plots and histograms. vedo is based on vtk and numpy.
This package provides a simple and easy-to-use PID controller.
This package provides miscellaneous tools for data analysis and scientific computing.
This is a rewrite of Dask DataFrame that includes query optimization and generally improved organization.
This package provides a domain-specific language for modeling convex optimization problems in Python.
Numpoly is a generic library for creating, manipulating and evaluating arrays of polynomials based on numpy.ndarray objects.
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. It is not usually a runtime dependency, but only a type checking, testing, and/or docs dependency in support of other libraries.
Deepdish is a Python library to load and save HDF5 files. The primary feature of deepdish is its ability to save and load all kinds of data as HDF5. It can save any Python data structure, offering the same ease of use as pickling or numpy.save, but with the language interoperability offered by HDF5.
xarray-dataclasses is a Python package that makes it easy to create xarray's DataArray and Datase objects that are "typed" (i.e. fixed dimensions, data type, coordinates, attributes, and name) using the Python's dataclass.
This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.
This package provides tools to easily search and download French data from INSEE and IGN APIs. This data includes more than 150 000 macroeconomic series, a dozen datasets of local french data, numerous sources available on insee.fr, geographical limits of administrative areas taken from IGN as well as key metadata and SIRENE database containing data on all French compagnies.
This package provides a Python interface to the QDLDL LDL factorization routine for quasi-definite linear system.
The goal of this package is to provide a reference implementation of trait types for common data structures used in the scipy stack such as numpy arrays or pandas and xarray data structures. These are out of the scope of the main traitlets project but are a common requirement to build applications with traitlets in combination with the scipy stack.
pykdtree is a kd-tree implementation for fast nearest neighbour search in Python.
scikit-fem is a library for performing finite element assembly. Its main purpose is the transformation of bilinear forms into sparse matrices and linear forms into vectors.
This package provides fast computations for principal component analysis (PCA), SVD, and eigendecompositions via randomized methods
This package provides a Python interface for the SCS (Splitting conic solver) library.
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.
A Snakemake executor plugin for running srun jobs inside of SLURM jobs (meant for internal use by python-snakemake-executor-plugin-slurm).
PyAMG is a Python library of Algebraic Multigrid (AMG) solvers. It features implementations of:
Ruge-Stuben (RS) or Classical AMG
AMG based on Smoothed Aggregation (SA)
Adaptive Smoothed Aggregation (αSA)
Compatible Relaxation (CR)
Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.
Histoprint uses a mix of terminal color codes and Unicode trickery (i.e. combining characters) to plot overlaying histograms.
This package provides a Python library for manipulating indices of ndarrays.
This package provides a Python package for calculating tissue-specificity metrics for gene expression.
Scikit-image is a collection of algorithms for image processing.