OPEN SOURCE
genular is a community behind SIMON an open source automated machine learning software, built by a vibrant community of people like you!
VISUALIZE & ANALYZE
Exploratory analysis of machine learning results with help of many different visualization algorithms will give you instant insights into your questions
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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 freenode.net Find us on Twitter under @genular or join us on forums
community forumsHelp with SIMON development!
Contribute code, make translations,
fix & report bugs, participate in development
Gather. Train. Predict.
SIMON runs on almost every linux server. Your own instance is only a few mouse clicks away!
get startedWHATS ALL THIS ABOUT
SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. Currently SIMON implements automated 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
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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, system architecture. Backend and frontend design.
Adriana
atomic
Project founder, fixes & improvements all over the place, community
Latest news from us
Please find latest announcements in our blog below
Mother machine image analysis with MM3
The mother machine is a microfluidic device for high-throughput time-lapse imaging of microbes. Here, we present MM3, a complete and modular image analysis pipeline. MM3 turns raw mother machine images,[…]
Read moreWeakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning
Cell migration is pivotal for their development, physiology and disease treatment. A single cell on a 2D surface can utilize continuous or discontinuous migration modes. To comprehend the cell migration,[…]
Read moreAccurate cell tracking and lineage construction in live-cell imaging experiments with deep learning
Live-cell imaging experiments have opened an exciting window into the behavior of living systems. While these experiments can produce rich data, the computational analysis of these datasets is challenging. Single-cell[…]
Read more
