Outstanding Data Science Tools
We help people understand and utilize their data by building outstanding Data Science tools and learning materials.
BENEFITS
What you get with MLJAR
MLJAR with it's all tools is the right place if you're looking for:
Solid open-source machine
Discover frameworks developed by and for the community, and take the first step towards contributing to open-source projects.
Sharing your notebooks
Without rewriting the Python notebook... make your analysis accessible to even non-technical.
Automate your work
Save your time by using our tools, e.g., automate the process of building a machine learning pipeline or schedule your notebook.
Looking for experts
Utilize our expertise – facing an issue? We can offer you our time.
Machine Learning explained and deployed
Next-generation AutoML with fairness metrics and extensive explanation in the form of automatically generated documentation.
Seeking for innovations
We developed some custom projects using LLM for data analysis.
Data Science Tools
Automated Machine Learning
The most advanced AutoML with the simplest User Interface
Automatic report with documentation
Each model built using mljar AutoML is described in detailed documentation with charts.
The only AutoML with Fairness
Use the fairness metric if you want to avoid discrimination by the machine learning models you create.
The easiest & fastest way to build ML models
Creating models with AutoML in such a brief timeframe and with such precision beyond human reach.
Features preprocessing
Features selection
Algorithm selection
Golden features
Models ensembling
ML explainability
A few steps to achieve your goals!
Define your goals
Clearly outline your analytics goals while specifying how machine learning algorithms can contribute to achieving those objectives.
Provide a good data set & implement MLJAR
Prepare your data for machine learning. Valuable data set is the key to achieve profitable results. Then install mljar-supervised, and let the magic begin!
Deploy models and visualize
Deploy your results or use Mercury. Use the wide visualize libraries to make your work attractive for non-technical users.
Work is done! Coffee time :)
Downloads
Stars
Forks
Users
Data Science Tools
Mercury
Turn your Python Notebook into a Web App with the open-source Mercury framework. Share your results with non-technical users.
Share multiple notebooks
You can share as many notebooks as you want and set the authentication.
Don't worry about layout
Widgets are in the sidebar and outputs will appear in the same order as in the notebook.
No callbacks!
Mercury automatically re-executes cells below updated widget. You don't need to write callbacks to handle widget update.
Mercury- the easiest way to turn your notebook into web app, dashboard or report!
Start with Python Notebook
Python Notebook is a great tool to connect Markdown, Python code and outputs into meaningful documents.
Make it interactive
Add widgets to you Python Notebook and make it interactive.
Run as Web App
Start Mercury Server and serve your notebook as Web App.
Deploy with Mercury Cloud
Deployment as easy as file upload. Set custom domain and use secure connection.
Testimonials
Data scientists and researchers worldwide extensively utilize our products, and below, you'll find several testimonials showcasing their experiences.
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."
Knut Jägersberg
Data Scientist"MLJAR AutoML, because of its user-centric design."
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. "
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."
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."
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"
Start revolutionize your data journey!
Take the next step towards innovation – try our tools or explore collaboration opportunities now.
Subscribe
Want to be well informed about our updates and news in our products?