mrx-link

A simple AI/ML modeling tool, Link™ ensures a smoother flow and a better experience throughout the model development cycle.

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Project description

Link

A simple AI/ML modeling tool developed as an extension of JupyterLab, Link ensures a smoother flow and a better experience throughout the model development cycle.

Usage Environment

Supported Platform	Linux (AMD64, ARM64) / macOS (Intel, Apple Silicon) / Windows
Python Version	`3.7`, `3.8`, `3.9`, `3.10`
Requirements	Git

Getting Started

We recommend installing our program in a new virtual environment.

Step 1. Install Link with the following command.

python3 -m pip install --upgrade mrx-link

Step 2. After installation, run JupyterLab.

python3 -m jupyterlab

If you wish to install it as a Desktop Application, please download from here.

Main Features

Pipeline Creation

Create a pipeline with notebook cells to improve code readability and reproducibility.

pipeline_creation

Version Control

Link provides a version control feature, where you can easily view changes to your pipeline and merge conflicts.

version_control

Caching Management

Store execution results for respective cells to minimize redundant cell executions.

caching_management

Other Features

Convert your pipelines to Kubeflow (.yaml) pipelines.
Convert your components to executable Python code.

Help and Support

Product Page : https://link.makinarocks.ai
Official Documentation : https://makinarocks.gitbook.io/link/
Release Notes : https://makinarocks.gitbook.io/link/version-history/release-notes
Technical Support : Contact Technical Support for any questions or issues

Team

Eunyoo Byeon (@EunyooByeon)
Woojin Cha (@Xena123kiki)
Hwiyeon Cho (@hwyncho)
Jungmin Park (@jungminpark1234)
Daesung Kim (@JakeisDaeSung)
Hongji Kim (@HongJi-Kim)
Hoonchel Shin (@hunhoon21)
Sangwoo Shim (@borishim)
Yongjin Shin (@YongjinShin306)
Hyeonseok Shin (@hyeonseok)
Ryeong Yi (@ryeongYi)

Contributors

Byoungwan Kim (@bwkim71)
Hwan Chang (@aiworld-git)

Project details

These details have not been verified by PyPI

Project links

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

1.2.0

Dec 11, 2023

1.1.2

Jun 26, 2023

1.1.0

May 3, 2023

1.0.0

Apr 5, 2023

0.12.0.dev0 pre-release

Mar 27, 2023

0.11.0

Feb 28, 2023

0.10.5

Feb 14, 2023

0.10.5.dev1 pre-release

Feb 13, 2023

0.10.5.dev0 pre-release

Feb 13, 2023

0.10.4

Feb 1, 2023

0.10.3

Jan 2, 2023

0.10.2

Dec 20, 2022

0.10.1

Dec 14, 2022

This version

0.10.0

Nov 14, 2022

0.9.2.dev0 pre-release

Oct 14, 2022

0.9.1

Sep 27, 2022

0.8.2

Aug 31, 2022

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