tools
TabularLab
What it does
TabularLab brings regression, classification, clustering, and visualization into an accessible desktop and browser workspace. It connects model building with prediction and result export, making tabular machine learning easier to use in everyday research.
Approach & capabilities
Supports regression, classification, clustering, and visualization for tabular datasets.
Connects preprocessing, model selection, tuning, and evaluation in a graphical workflow.
Makes prediction and result export accessible through desktop and browser interfaces.
Read more
TabularLab is an open-source, programming-free machine learning toolkit for tabular datasets. It provides an end-to-end workflow covering data import, preprocessing, automated model selection, hyperparameter optimization, model evaluation, result visualization, inverse design, and prediction. With an intuitive graphical interface and fully local execution, TabularLab lowers the barrier to applying machine learning in scientific research and engineering, making it particularly suitable for materials science, chemistry, biology, environmental science, and other data-driven disciplines.