Tools to analyze and simulate neural time series, using digital signal processing.

Fast, efficient, and physiologically-informed tool to parameterize neural power spectra

This is an open-source tool which allows to load CURRY data into Python. It supports: raw float (.cdt), ascii (.cdt), legacy raw float (.dat) and legacy ascii (.dat).

A Python-native package for reading, writing, processing, and plotting physiologic signal and annotation data. The core I/O functionality is based on the Waveform Database (WFDB) specifications.

This is a Python package for performing representational similarity analysis (RSA) using MNE-Python data structures. The main use-case is to perform RSA using a “searchlight” approach through time and/or a volumetric or surface source space.

Fortran Package Manager (fpm) is a package manager and build system for Fortran. Its key goal is to improve the user experience of Fortran programmers. It does so by making it easier to build your Fortran program or library, run the executables, tests, and examples, and distribute it as a dependency to other Fortran projects. Fpm's user interface is modeled after Rust's Cargo, so if you're familiar with that tool, you will feel at home with fpm. Fpm's long term vision is to nurture and grow the ecosystem of modern Fortran applications and libraries.

deviceXlib is a library that wraps device-oriented routines and utilities, such as device data allocation, host-device data transfers. It supports CUDA language, together with OpenACC and OpenMP programming paradigms. It wraps a subset of functions from Nvidia cuBLAS, Intel oneMKL BLAS and AMD rocBLAS libraries.

deviceXlib is a library that wraps device-oriented routines and utilities, such as device data allocation, host-device data transfers. It supports CUDA language, together with OpenACC and OpenMP programming paradigms. It wraps a subset of functions from Nvidia cuBLAS, Intel oneMKL BLAS and AMD rocBLAS libraries.

Fypp is a Python powered preprocessor. It can be used for any programming languages but its primary aim is to offer a Fortran preprocessor, which helps to extend Fortran with condititional compiling and template metaprogramming capabilities. Instead of introducing its own expression syntax, it uses Python expressions in its preprocessor directives, offering the consistency and versatility of Python when formulating metaprogramming tasks.

This package provides powerful tools for geospatial data manipulation in Python, including working with coordinate reference systems, grid definitions, and spatial transformations.

pyKML is a Python package for creating, parsing, manipulating, and validating KML, a language for encoding and annotating geographic data.

PnetCDF is a high-performance parallel I/O library for accessing Unidata's NetCDF, files in classic formats, specifically the formats of CDF-1, 2, and 5.

This package provides a Python library for manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in *.geoh5 file format.

Choclo is a Python library that hosts optimized kernel functions for running geophysical forward and inverse models, intended to be used by other libraries as the underlying layer of their computation.

This package provides discretization tools for finite volume and inverse problems.

The vision is to create a package for finite volume simulation with a focus on large scale inverse problems. This package has the following features:

• modular with respect to the spacial discretization

• built with the inverse problem in mind

• supports 1D, 2D and 3D problems

• access to sparse matrix operators

• access to derivatives to mesh variables

Currently, discretize supports:

• Tensor Meshes (1D, 2D and 3D)

• Cylindrically Symmetric Meshes

• QuadTree and OcTree Meshes (2D and 3D)

• Logically Rectangular Meshes (2D and 3D)

• Triangular (2D) and Tetrahedral (3D) Meshes

This package estimates differential phase delay maps due to the stratified atmosphere for correcting radar interferograms.

This package provides programmatic access to the data store catalogue of the Copernicus CDS.

This package provides conversion functions between UTM and WGS84 coordinates.

xgcm is a Python package for working with the datasets produced by numerical General Circulation Models (GCMs) and similar gridded datasets that are amenable to finite volume analysis. In these datasets, different variables are located at different positions with respect to a volume or area element (e.g. cell center, cell face, etc.) xgcm solves the problem of how to interpolate and difference these variables from one position to another.

Pyresample is a python package for resampling geospatial image data. Resampling or reprojection is the process of mapping input geolocated data points to a new target geographic projection and area.

This package provides a geospatial extension for xarray powered by rasterio.

The Model for Prediction Across Scales - Atmosphere (MPAS-A) is a n-hydrostatic atmosphere model that is part of a family of Earth-system mponent models collectively known as MPAS. All MPAS models have in common eir use of centroidal Voronoi tessellations for their horizontal meshes, ich has motivated the development of a common software framework that ovides a high-level driver program and infrastructure for providing rallel execution, input and output, and other software infrastructure.

Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent sources, and more. There are forward modeling functions for basic geometric shapes, like point sources, prisms and tesseroids.

This packge provides utilities to retrieve tile maps from the internet. It can add those tiles as basemap to matplotlib figures or write tile maps to disk into geospatial raster files. Bounding boxes can be passed in both WGS84 (EPSG:4326) and Spheric Mercator (EPSG:3857).