3. Data, Science & AI

Programmatically accesses NIH Metabolomics Workbench database for metabolite queries, MS/NMR data, and study metadata to support biomarker discovery research.

Fast CLI/Python tool for interactive queries across 20+ bioinformatics databases including gene info, BLAST, and AlphaFold structures.

Automates exploratory data analysis for scientific datasets, detecting file types and generating markdown reports with quality metrics and recommendations.

Provides specialized machine learning tools for time series analysis including forecasting, anomaly detection, and clustering with scikit-learn compatible APIs.

Enables efficient storage and parallel access of large scientific datasets using chunked arrays with cloud storage integration and scientific library compatibility.

High-performance reinforcement learning framework for fast parallel training, vectorized environments, and multi-agent systems with game environment integrations.

Provides SHAP-based model interpretability and explainability for machine learning, including feature importance and plot generation (waterfall, beeswarm, etc.).

Simplified Python interface for RDKit, enabling efficient drug discovery tasks including SMILES parsing and molecular standardization.

Comprehensive toolkit for developing, testing, and deploying machine learning models with clinical data and healthcare datasets.

Framework for developing and running quantum circuits on IBM Quantum hardware, featuring error mitigation and enterprise deployment tools.

Processes and analyzes massive tabular datasets (billions of rows) using out-of-core operations, lazy evaluation, and efficient visualization without exceeding memory limits.

Accesses and analyzes comprehensive drug data from DrugBank, including properties, interactions, targets, and pharmacology for research and discovery.

Predicts protein-ligand binding poses using diffusion models from PDB/SMILES data, providing confidence scores for virtual screening in drug design.

Queries Reactome REST API for pathway analysis, gene mapping, and systems biology research in biological data studies.

Multiagent AI system automating scientific research workflows from data analysis to publication-ready LaTeX papers.

Provides spectral similarity scoring and compound identification for metabolomics data using mass spectrometry libraries.

Accesses RCSB Protein Data Bank for searching, downloading, and retrieving 3D protein and nucleic acid structural data for research and drug discovery.

Accesses Human Metabolome Database for metabolite search, chemical properties, NMR/MS spectra, and pathway analysis in metabolomics research.

Provides a unified Python interface for querying over 40 bioinformatics databases, enabling cross-database analysis and ID mapping in a single workflow.

Provides direct REST API access to UniProt for protein sequence searches, FASTA retrieval, and ID mapping in scientific workflows.

Lightweight tool for extracting and preprocessing whole slide images (WSI) in histopathology, including stain normalization for H&E images.

Python library for reading, writing, and processing DICOM medical imaging files, including metadata and pixel data.

Framework for Python-based computational fluid dynamics simulations, supporting Navier-Stokes, turbulence analysis, and HPC with pseudospectral methods and FFT.

Assists with MATLAB and GNU Octave for numerical computing, data analysis, visualization, and scientific tasks including linear algebra and signal processing.