https://github.com/junyuan-chen/readstattablesbenchmarks

Benchmarks for ReadStatTables.jl and related packages
https://github.com/junyuan-chen/readstattablesbenchmarks

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Benchmarks for ReadStatTables.jl and related packages

• Host: GitHub
• URL: https://github.com/junyuan-chen/readstattablesbenchmarks
• Owner: junyuan-chen
• License: mit
• Created: 2022-12-02T05:35:41.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-01T17:48:37.000Z (7 months ago)
• Last Synced: 2024-04-02T08:53:08.098Z (7 months ago)
• Language: Julia
• Homepage:
• Size: 136 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# ReadStatTablesBenchmarks

*Benchmarks for ReadStatTables.jl and related packages*

This repository is for benchmarking

[ReadStatTables.jl](https://github.com/junyuan-chen/ReadStatTables.jl)

against related packages.

Scripts for generating the sample data

and running the benchmarks are located at the [`benchmark`](benchmark) directory.

Sample data are stored in the [`data`](data) directory.

Results are saved in the [`results`](results) directory

for each version of ReadStatTables.jl since v0.2.0.

## Latest Benchmarks

Results are based on reading Stata .dta files with a single thread.

Parameters (keyword arguments) for reading the files are default values.

### Packages

- [ReadStatTables.jl](https://github.com/junyuan-chen/ReadStatTables.jl) v0.3.0

- [ReadStat.jl](https://github.com/queryverse/ReadStat.jl) v1.1.1

- [pyreadstat](https://github.com/Roche/pyreadstat) v1.2.7

- [haven](https://github.com/tidyverse/haven) v2.5.4

- [pandas](https://github.com/pandas-dev/pandas) v2.2.1

- [CSV.jl](https://github.com/JuliaData/CSV.jl) v0.10.13

Python and R packages are installed with

[CondaPkg.jl](https://github.com/cjdoris/CondaPkg.jl).

Python functions are called via [PythonCall.jl](https://github.com/cjdoris/PythonCall.jl).

R functions are called via [RCall.jl](https://github.com/JuliaInterop/RCall.jl).

Benchmark results are produced with

[BenchmarkTools.jl](https://github.com/JuliaCI/BenchmarkTools.jl).

### Environment

- Julia v1.10.2

- Python v3.12.2

- R v4.3.3

```

Platform Info:

  OS: macOS (arm64-apple-darwin22.4.0)

  CPU: 10 × Apple M1 Pro

  WORD_SIZE: 64

  LIBM: libopenlibm

  LLVM: libLLVM-15.0.7 (ORCJIT, apple-m1)

Threads: 8 default, 0 interactive, 4 GC (on 8 virtual cores)

```

### Results