datamol

Generates interactive, publication-quality scientific visualizations and dashboards using Python's Plotly library for data exploration and presentation

Accelerates drug discovery and molecular design by providing advanced deep learning tools for molecular representation, property prediction, and generative modeling.

Performs advanced statistical modeling, regression analysis, and hypothesis testing with comprehensive econometric and statistical inference capabilities.

Performs single-cell RNA sequencing analysis, clustering, and visualization for genomic data processing and interpretation

Performs geospatial data analysis, visualization, and manipulation using advanced pandas-like operations on geographic and geometric datasets

Queries and retrieves biological pathway, gene, and molecular interaction data from the KEGG (Kyoto Encyclopedia of Genes and Genomes) database for research and analysis.

Generates publication-quality scientific plots, charts, and visualizations using advanced data rendering techniques across multiple libraries and domains.

Generates Python type definitions and conversion utilities for complex data structures, enhancing type safety and code readability.

Streamlines machine learning model development with modular, efficient PyTorch utilities for rapid prototyping and research workflows.

Implements reinforcement learning algorithms and training pipelines using Stable Baselines3 for OpenAI Gym environments and custom RL projects.