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.

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.

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.

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

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 submit jobs to SLURM.

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.

Statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS.

EventEmitter3 focuses on performance while maintaining a Node.js AND browser compatible interface.

Safer Node.js Buffer API

Check if a certain debug flag is enabled.

Streams3, a user-land copy of the stream library from Node.js

Get v8 stack traces as an array of CallSite objects.

Simply swizzle your arguments

A list of color names and its values

HTTP and HTTPS modules that follow redirects.

Deterministic and safely JSON.stringify to quickly serialize JavaScript objects

Date formatting and parsing

javascript implementation of Dunning's T-Digest for streaming quantile approximation

Plain color conversion functions

Generate HEX colors for a given namespace.

An mutable object-based log format designed for chaining & objectMode streams.