Provides a high-level interface to the ECWMF ECCODES C library for reading GRIB files. There are limited capabilities for writing GRIB files (you can modify the contents of an existing file, but you can't create one from scratch).

This package provides a collection of (mostly) analytic functions in geophysics. We take an object oriented approach with the aim of having users be able to readily interact with the functions using Jupyter.

This package provides methods for simulation and gradient-based parameter estimation in the context of geophysical applications.

The vision is to create a package for finite volume simulation with applications to geophysical imaging and subsurface flow. To enable the understanding of the many different components, this package has the following features:

• modular with respect to the spacial discretization, optimization routine, and geophysical problem

• built with the inverse problem in mind

• provides a framework for geophysical and hydrogeologic problems

• supports 1D, 2D and 3D problems

• designed for large-scale inversions

Boule is Python library for representing reference ellipsoids geometrically, calculating their gravity fields, and performing some global coordinate conversions.

LoopStructural is an opensource Python library for 3D geological modelling. It can:

• Model fault networks integrating fault kinematics and overprinting relationships;

• Model folds using structural elements (fold axis, fold axial surface) for multiple fold events;

• Use different implicit interpolation algorithms (Finite Difference, Piecewiese Linear, RBF);

• Export models to vtk, geoh5, omf, gocad, csv, obj formats;

• Visualise models in an interactive python environment.

The electromagnetic modeller empymod can model electric or magnetic responses due to a three-dimensional electric or magnetic source in a layered-earth model with vertical transverse isotropic (VTI) resistivity, VTI electric permittivity, and VTI magnetic permeability, from very low frequencies (DC) to very high frequencies (GPR). The computation is carried out in the wavenumber-frequency domain, and various Hankel- and Fourier-transform methods are included to transform the responses into the space-frequency and space-time domains.

PyGMT is a library for processing geospatial and geophysical data and making publication-quality maps and figures. It provides a Pythonic interface for the Generic Mapping Tools (GMT), a command-line program widely used across the Earth, Ocean, and Planetary sciences and beyond.

This package provides DLF as used in Geophysics for electromagnetic modelling.

Miami INsar Time-series software in PYthon.

This package provides a three-dimensional modeller for electromagnetic (EM) diffusion as used for instance in geophysical controlled-source EM (CSEM) surveys. This includes use cases in the search for resources such as groundwater, geothermal energy, hydrocarbons, and minerals, or civil engineering and environmental applications.

NetCDF is an interface for scientific data access and a software library that provides an implementation of the interface. The netCDF library defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data.

This package provides a set of sparse matrix solvers used in geoscience.

All solvers work with scipy.sparse matricies, and a single or multiple right hand sides using numpy:

• L/U Triangular Solves

• Wrapping of SciPy matrix solvers (direct and indirect)

• Pardiso solvers now that MKL comes with conda!

• Mumps solver with nice error messages

This package provides programmatic access to the CDS, ADS and EWDS data catalogues from the ECMWF.

This package provides a Python wrapper for solid to compute solid Earth tides.

The Son of Grid Engine is a community project to continue Sun's old gridengine project after Oracle shut down the site and stopped contributing code.

This package an alternative qsub command that will directory run the script.

This package an alternative qsub command that will submit jobs to SLURM.

IOR is a parallel IO benchmark that can be used to test the performance of parallel storage systems using various interfaces and access patterns. The IOR repository also includes the mdtest benchmark which specifically tests the peak metadata rates of storage systems under different directory structures. Both benchmarks use a common parallel I/O abstraction backend and rely on MPI for synchronization.

ADIOS2 transports data as groups of self-describing variables and attributes across different media types (such as files, wide-area-networks, and remote direct memory access) using a common application programming interface for all transport modes. ADIOS2 can be used on supercomputers, cloud systems, and personal computers.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures. Applications are expressed as a Direct Acyclic Graph of tasks with labeled edges designating data dependencies. PaRSEC assigns computation threads to the cores, overlaps communications and computations between nodes as well as between host and accelerators (like GPUs). It achieves these features by using a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and GPU awareness, as well as algorithmic features such as data reuse.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.