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1

JDF.jl

Julia DataFrames serialization format

JDF is a DataFrames serialization format with the following goals, fast save and load times, compressed storage on disk, enabled disk-based data manipulation (not yet achieved), and support for machine learning workloads, e.g. mini-batch, sampling (not yet achieved). JDF stores a DataFrame in a folder with each column stored as a separate file. There is also a metadata.jls file that stores metadata about the original DataFrame. Collectively, the column files, the metadata file, and the...

Downloads: 0 This Week

Last Update: 2024-11-10
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2

InMemoryDatasets.jl

Multithreaded package for working with tabular data in Julia

InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables.

Downloads: 0 This Week

Last Update: 2025-11-10
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3

PythonCall & JuliaCall

Python and Julia in harmony

Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays...

Downloads: 0 This Week

Last Update: 2025-12-17
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4

Cxx.jl

The Julia C++ Interface

The Julia C++ Foreign Function Interface (FFI) and REPL. Now, this package provides an out-of-box installation experience on 64-bit Linux, macOS and Windows.

Downloads: 0 This Week

Last Update: 2023-11-04
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