ARCtrl

ARCtrl the easy way to read, manipulate and write ARCs in .NET, JavaScript and Python! ❤️

| Version | Downloads | | :--------|-----------:| |<a href="https://www.nuget.org/packages/ARCtrl/"><img alt="Nuget" src="https://img.shields.io/nuget/v/ARCtrl?logo=nuget&color=%234fb3d9"></a>|<a href="https://www.nuget.org/packages/ARCtrl/"><img alt="Nuget" src="https://img.shields.io/nuget/dt/ARCtrl?color=%234FB3D9"></a>| |<a href="https://www.npmjs.com/package/@nfdi4plants/arctrl"><img alt="NPM" src="https://img.shields.io/npm/v/%40nfdi4plants/arctrl?logo=npm&color=%234fb3d9"></a>|<a href="https://www.npmjs.com/package/@nfdi4plants/arctrl"><img alt="NPM" src="https://img.shields.io/npm/dt/%40nfdi4plants%2Farctrl?color=%234fb3d9"></a>| |<a href="https://pypi.org/project/ARCtrl/"><img alt="PyPI" src="https://img.shields.io/pypi/v/arctrl?logo=pypi&color=%234fb3d9"></a>|<a href="https://pypi.org/project/ARCtrl/"><img alt="PyPI" src="https://img.shields.io/pepy/dt/arctrl?color=%234fb3d9"></a>|

Install

.NET

#r "nuget: ARCtrl"

<PackageReference Include="ARCtrl" Version="1.1.0" />

JavaScript

npm i @nfdi4plants/arctrl

Python

pip install arctrl

Docs

Documentation can be found here

Development

Requirements

• nodejs and npm
  • verify with node --version (Tested with v18.16.1)
  • verify with npm --version (Tested with v9.2.0)
• .NET SDK
  • verify with dotnet --version (Tested with 7.0.306)
• Python
  • verify with py --version (Tested with 3.12.2, known to work only for >=3.11)

Local Setup

Windows

On windows you can use the setup.cmd to run the following steps automatically!

1. Setup dotnet tools

   dotnet tool restore

2. Install NPM dependencies

   npm install

3. Setup python environment

   py -m venv .venv

4. Install uv and dependencies

   1. .\.venv\Scripts\python.exe -m pip install -U pip setuptools
   2. .\.venv\Scripts\python.exe -m pip install uv
   3. .\.venv\Scripts\python.exe -m uv pip install -r pyproject.toml --group dev

Verify correct setup with ./build.cmd runtests ✨

Linux / macOS

On unix you can use the setup.sh to run the following steps automatically!

1. Setup dotnet tools

   dotnet tool restore

2. Install NPM dependencies

   npm install

3. Setup python environment

   python -m venv .venv

4. Install uv and dependencies

   1. .venv/bin/python -m pip install -U pip setuptools
   2. .venv/bin/python -m pip install uv
   3. .venv/bin/python -m uv pip install -r pyproject.toml --group dev

Verify correct setup with bash build.sh runtests ✨

Branding

Feel free to reference ARCtrl on slides or elsewhere using our logos:

|Square | Horizontal | Vertical | | - | - | - | | | | |

Performance

Measured on 13th Gen Intel(R) Core(TM) i7-13800H

| Name | Description | FSharp Time (ms) | JavaScript Time (ms) | Python Time (ms) | | --- | --- | --- | --- | --- | | Table_GetHashCode | From a table with 1 column and 10000 rows, retrieve the Hash Code | 0 ± 0 | 0 ± 1 | 91 ± 12 | | Table_AddDistinctRows | Add 10000 distinct rows to a table with 4 columns. | 13 ± 2 | 14 ± 4 | 119 ± 12 | | Table_AddIdenticalRows | Add 10000 identical rows to a table with 4 columns. | 6 ± 2 | 6 ± 1 | 104 ± 6 | | Table_AddColumnsWithDistinctValues | Add 4 columns with 10000 distinct values each. | 8 ± 3 | 10 ± 1 | 53 ± 1 | | Table_AddColumnsWithIdenticalValues | Add 4 columns with 10000 identical values each. | 5 ± 1 | 4 ± 0 | 47 ± 1 | | Table_fillMissingCells | For a table 6 columns and 20000 rows, where each row has one missing value, fill those values with default values. | 0 ± 0 | 2 ± 1 | 6 ± 4 | | Table_ToJson | Serialize a table with 5 columns and 10000 rows to json, with 3 fixed and 2 variable columns. | 227 ± 64 | 68 ± 18 | 7851 ± 1411 | | Table_ToCompressedJson | Serialize a table with 5 columns and 10000 rows to compressed json, with 3 fixed and 2 variable columns. | 147 ± 15 | 2878 ± 135 | 6303 ± 1798 | | Assay_toJson | Parse an assay with one table with 10000 rows and 6 columns to json, with 3 fixed and 3 variable columns. | 330 ± 36 | 88 ± 9 | 12644 ± 550 | | Assay_fromJson | Parse an assay with one table with 10000 rows and 6 columns from json, with 3 fixed and 3 variable columns. | 355 ± 66 | 61 ± 6 | 6499 ± 1068 | | Assay_toISAJson | Parse an assay with one table with 10000 rows and 6 columns to json, with 3 fixed and 3 variable columns | 487 ± 36 | 959 ± 36 | 15618 ± 482 | | Assay_fromISAJson | Parse an assay with one table with 10000 rows and 6 columns from json, with 3 fixed and 3 variable columns | 359 ± 29 | 706 ± 46 | 9587 ± 621 | | Study_FromWorkbook | Parse a workbook with one study with 10000 rows and 6 columns to an ArcStudy | 29 ± 14 | 62 ± 5 | 818 ± 36 | | Investigation_ToWorkbook_ManyStudies | Parse an investigation with 1500 studies to a workbook | 240 ± 31 | 284 ± 24 | 3657 ± 199 | | Investigation_FromWorkbook_ManyStudies | Parse a workbook with 1500 studies to an ArcInvestigation | 127 ± 20 | 498 ± 21 | 9469 ± 412 | | ARC_ToROCrate | Parse an ARC with one assay with 10000 rows and 6 columns to a RO-Crate metadata file. | 1431 ± 99 | 3526 ± 264 | 61224 ± 728 |