3. Data, Science & AI

Provides the anndata data structure for handling annotated single-cell omics data in .h5ad format, foundational for scverse tools.

Python framework for discrete-event simulation, modeling processes, queues, and time-based events in systems such as manufacturing and logistics.

Interactive visualization library for creating web-based charts with hover, zoom, and pan features, ideal for data dashboards and exploratory analysis.

Cheminformatics toolkit for molecular data processing including SMILES/SDF parsing, descriptors, and substructure search.

Organizes PyTorch code into LightningModules for scalable neural network training with distributed strategies and integrated logging.

Python library for geospatial vector data analysis, spatial operations, and map visualization with support for common formats and tools.

Provides PyTorch-native graph neural network tools for developing custom models in drug discovery, protein modeling, and knowledge graph reasoning.

Enables supervised and unsupervised machine learning, model evaluation, hyperparameter tuning, and pipeline building in Python.

Provides access to ZINC database for drug discovery, enabling compound searches by ID, SMILES, and similarity with 3D structures for docking and virtual screening.

Enables programmatic access, management, and backup of electronic lab notebooks (ELNs) with integrations for scientific workflows including Jupyter and REDCap.

Builds and deploys bioinformatics pipelines using Latch SDK with Nextflow/Snakemake integration for scientific data processing.

Provides machine learning tools for genomic interval data (BED files), including region embeddings and scATAC-seq analysis.

Toolkit for processing, analyzing, and visualizing spreadsheet data with formula support and formatting capabilities.

Applies drug-likeness rules (Lipinski, Veber), PAINS filters, and structural alerts to prioritize compounds and filter chemical libraries.

Provides a hardware-agnostic framework for training quantum machine learning models, supporting variational algorithms and integration with PyTorch, JAX, and TensorFlow.

Queries NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, p-values, and summary statistics for genetic epidemiology and polygenic risk score analysis.

High-performance toolkit for genomic interval analysis, supporting BED files, coverage tracks, and ML tokenization in computational genomics.

Enables Bayesian inference, hierarchical modeling, and MCMC (NUTS) with PyMC for probabilistic programming and model comparison.

Generates evidence-based clinical decision support documents with statistical analysis, biomarker stratification, and regulatory compliance for pharmaceutical research.

Accesses AlphaFold's 200M+ AI-predicted protein structures via UniProt ID, with PDB/mmCIF downloads and confidence metric analysis for drug discovery research.

Performs UMAP dimensionality reduction for visualizing high-dimensional data in 2D/3D, enabling clustering and ML preprocessing.

Provides a framework for deploying pre-trained transformer models in NLP, computer vision, audio, and multimodal applications for tasks like generation and classification.

Queries NCBI Gene database via E-utilities API to retrieve gene information including RefSeqs, GO terms, locations, and phenotypes for annotation and functional analysis.

Provides simulation tools for open quantum systems, including master equations, Lindblad dynamics, and quantum optics, for physics research and educational purposes.