MLJAR Studio
We offer a desktop app for Data Science projects. It is a Python editor with interactive code recipes and AI assistant.
Become a Data Science Wizard, today!
Forget about Python problems, just do your work.
1-click install
No more installation problems
Install Python and new packages with 1-click. It just works!
Painless setup
Add Python to your machine. The setup is independed from previous Python installations.
Use what you need
Just click to install a new package. No more searching for the right command.
Coding is just a tool
Make coding a breeze
Get access to no-code GUI and talk to AI Assistant. Create outcomes in minutes.
Always correct syntax
Stop wasting time on copy-paste random code snippets from the internet. Use our interactive code recipes.
AI for instant help
Chat with AI Assistant, it helps with all data operations.
Testimonials
Data scientists love us ❤️❤️❤️
Kuanmy
Software Developer"After changing to use Mercury framework, I get to simplify my code a lot without having to deal with the widget listeners and layout"
Hugo Santos Silva
Lead Data Engineer"Mercury seems to be very interesting. Just had a try today and was able to fire up a GUI within 10 minutes that would have taken me at least 2h using Panel. Really nice thing."
Joshua Jäger
Data Scientist"I just, wanted to thank you for this amazing AutoML package and tool! I am currently putting together a package that builds on MLJAR and tweaks it specifically for use with data typically available in the field of clinical psychology."
Katarzyna-Anna Bensch
Data Analyst"Mercury provides useful widgets so my apps are interactive, but with desired limits set since users can not edit the code. The layout provided by Mercury framework makes anyone feel comfortable because of its clean and flawless look. Knowing this framework made my collaborations much more efficient. "
Vivek Sinha
Chief Operating Officer"I just looked at the mljar-supervised package. It's really thorough and much more in depth than other AutoML solutions I have used in the past. The compete param is also pretty awesome! Love it. Congratulations on the great work! Not surprised it is getting rapid adoption."
Isa Watanabe
Senior Software Engineer"Overall I have to say I'm really impressed. In my role, I have to churn out hundreds of 'good enough' models just to get the funding to pursue more in-depth modeling. This cuts my time down from 2 weeks to 10 minutes. And honestly, with the performance of MLJAR, good enough is an understatement. I'm getting better performance than what I experienced using AutoGluon, DataRobot, and H2o.ai on just about all of the datasets I use on Kaggle."
Desktop App for Data Science
MLJAR Studio offers the easiest way to start Data Science journey.
Running locally
All your code and data stays on your machine.
No vendor lock-in
You create Python notebooks in MLJAR Studio that can be used with other notebooks IDE.
Access open source world
Easily use open source packages for Data Science in your machine. Use our open source AutoML framework.
Deploy results
Share Python notebooks as web applications with our Mercury framework.
Start your data journey!
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