SIMON: machine learning under your control

SIMON is powerful, flexible, open-source and easy to use machine learning software. Home for all your knowledge discovery questions!


genular is a community behind SIMON an open source Machine Learning KnowledgeDiscovery software, built by a vibrant community of people just like you! Join us and make SIMON even more cool!


Exploratory analysis of machine learning results with help of many different visualization algorithms will give you instant insights into your questions


You can discover relevant trends and patterns with ease, that would usually take years of manual handcrafting.

How to get started?

Getting started is easy! Join our community and help us make science more open and better!

Join the genular Community

Join us on #genular on Find us on Twitter under @genular or join us on forums

community forums

Help with SIMON development!

Contribute code, make translations,
fix & report bugs, participate in development

get started

Gather. Train. Predict.

SIMON runs on every linux server. Your own instance is only a few mouse clicks away!

get started

SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. Currently SIMON implements machine learning and statistical data discovery features that will help you to easily illustrate dynamic relationships and provide you with a structural sense of your data.


Join us on forums!

Project Maintainers

genular is created and supported by a open source community of users, developers and enthusiasts from around the globe.

We are always welcoming you to join us and make scientific software more accessible to scientists and users across the globe!



Project founder, system architecture. Backend and frontend design.



Project founder, fixes & improvements all over the place, community

Latest news from us

Please find latest announcements in our blog below

Machine Learning and Optimal Control of Enzyme Activities to Preserve Solvent Capacity in the Cell

Experimental measurements or computational model predictions of the post-translational regulation of enzymes needed in a metabolic pathway is a difficult problem. Consequently, regulation is mostly known only for well-studied reactions[…]

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Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning

The fast and untraceable virus mutations take lives of thousands of people before the immune system can produce the inhibitory antibody. Recent outbreak of novel coronavirus infected and killed thousands[…]

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Denoising large-scale biological data using network filters

Large-scale biological data sets, e.g., transcriptomic, proteomic, or ecological, are often contaminated by noise, which can impede accurate inferences about underlying processes. Such measurement noise can arise from endogenous biological[…]

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