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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

awkward-1.0

Manipulate JSON-like data with NumPy-like idioms.

caffe

Caffe: a fast open framework for deep learning.

casacore

Suite of C++ libraries for radio astronomy data processing

casacore-notes

casacore module design documents

codex-africanus

coiled-runtime

cookiecutter-pypackage

Cookiecutter template for a Python package.

cpython

The Python programming language

crystalball

Distributed prediction of visibilities from a sky model

cubical

A fast radio interferometric calibration suite.

cupy

NumPy-like API accelerated with CUDA

dask

Parallel computing with task scheduling

dask-ms

Implementation of a dask/xarray dataset backed by a CASA MS

datashader

Quickly and accurately render even the largest data.

distarray

Distributed NumPy-like arrays, ufuncs, and more. Think globally, act locally.

distributed

Distributed computation in Python

docker-squid

Dockerfile to create a Docker container image for Squid proxy server

docker-squid-alpine

Slim image (18MB) of Squid 3.5.4 running under Alpine Linux 3.2.

fundamentals_of_interferometry

Fundamentals of Radio Interferometry

futureplay

Play with rust futures

katdal

Data access library for the MeerKAT project

meqtrees-cattery

MeqTrees-based frameworks for simulation and calibration of radio interferometers

obit

Radio astronomy software

packratt

pycuda

CUDA integration for Python, plus shiny features

python-casacore

Python bindings for casacore, a library used in radio astronomy

seastar

High performance server-side application framework

shadems

Rapid Measurement Set plotting with dask-ms and datashader

stimela2

Stimela 2.0