SIMON machine learning software

SIMON is powerful, flexible, open-source AI platform

OPEN SOURCE

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!

VISUALIZE & ANALYZE

Exploratory analysis of machine learning results with help of many different visualization techniques will give you instant insights into models and data

FEATURE LEARNING

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! Just go to our GitHub page and follow installation instructions.

Join the genular Community

Join us on #genular on freenode.net 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

Install and use SIMON

SIMON runs on every linux and windows server.

get started
more details

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.

CHECK OUT DEMO (limited functionality)

Have question? 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!

Ivan

LogIN

Project founder, github maintainer

Adriana

atomic

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

featured in

SIMON is featured in multiple news articles around the globe. Here are some of them:

Latest news from us & cool publications

Prediction and characterization of transcription factors involved in drought stress response

Transcription factors (TFs) play a central role in regulating molecular level responses of plants to external stresses such as water limiting conditions, but identification of such TFs in the genome[…]

Read more

Identification of Stem Cells from Large Cell Populations with Topological Scoring

Machine learning and topological analysis methods are becoming increasingly used on various large-scale omics datasets. Modern high dimensional flow cytometry data sets share many features with other omics datasets like[…]

Read more

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[…]

Read more

Our Happy Sponsors

As a non-profit open source project we depend on generous support of our sponsors. If you wish to support us please contact us!

Contact us