AI model development

made easier with Link

Try Link via pip command.
See more details
$ 
pip install mrx_link
Download Link desktop app
Also supports Link desktop app.
Pipelining with notebook cells
Caching execution results
Hyper-parameter Optimizer
Per-cell remote execution
Link Git
Maintain 100% usability of JupyterLab
Create visual pipelines in minutes
without any Kubernetes knowledge
Easy source code version
management with Git integration

Trusted by data teams

Visualize your code
in pipelines

Create pipelines with cell relationships to make code easier to read and reproduce.
Learn more

Version control
made easy
with Git integration

View and manage source code changes at a glance, and use the Pipeline Diff feature to work with the latest version.
Learn more

Expedite
model development
with cache storage

Reduce repetitive executions and ensure continuity with cached component results.
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Improved efficiency
with convenient
added-value features

Supports HPO, component comments, grouping, and Kubeflow compatibility to increase model performance and work efficiency.
Learn more
Explore how Link works
Try Link on Binder

User Stories

“With Link, you can easily create Kubeflow pipelines in Jupyter Notebook to visualize your code.”
Kyle
ML Engineer
“It is possible to efficiently manage and execute codes in pipelines when performing various experiments for high-scoring Kaggle projects.”
Chanran Kim
Kaggle Master
“Link's pipeline feature helped me handle various requests from PO/PMs without having to repeat the model each time.”
Matt
Data Engineer

Made in Link

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How global users are utilizing Link
See how
Seoul (HQ) : 12F, 343, Gangnam-daero, Seocho-gu, Seoul 06626, Korea
Silicon Valley : 2665 N 1st St, STE 110, San Jose, CA 95134, USA
Business Inquiries : contact@makinarocks.ai
Seoul (HQ) : 12F, 343, Gangnam-daero, Seocho-gu, Seoul 06626, Korea
Silicon Valley : 2665 N 1st St, STE 110, San Jose, CA 95134, USA
Business Inquiries : contact@makinarocks.ai
Copyright© MakinaRocks 2023. All Rights Reserved.​
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