Lab Automation

Benchling MCP (longevity-genie) is a Python MCP server that connects AI clients to Benchling notebook entries, biological sequences, projects, and entity search using API credentials.

Lab Automation · Scientific Data

Phoenics combines Bayesian optimization with Bayesian kernel density estimation to recommend experimental or computational parameters, supporting sequential, batch and multi-objective workflows.

Lab Automation · Process Optimization

Gryffin is a Python Bayesian optimization framework for categorical and mixed experimental design spaces, with batch recommendations and physicochemical descriptor support.

Lab Automation · Process Optimization

Olympus is a Python framework for benchmarking noisy optimization and experiment planning, with mixed parameter domains, experimental benchmarks, analytical test functions and a shared planner interface.

Lab Automation · Process Optimization

BoFire is a Python framework for experimental design and Bayesian optimization, supporting mixed variables, constraints, molecular representations and iterative candidate selection.

Lab Automation · Process Optimization

Summit is a Python toolkit for chemical reaction optimisation, combining optimisation strategies, simulated reaction benchmarks and closed-loop workflows for evaluating experimental conditions.

Lab Automation · Process Optimization

BayBE is a Python toolbox for Bayesian experimental design that recommends parameter configurations from defined search spaces, objectives and measurements, including chemistry-aware and multi-target workflows.

Lab Automation · Process Optimization

Coscientist provides a simple implementation and supporting research data for large-language-model chemical research, covering synthesis planning, library selections, repeated runs and optimization.

Literature & Research · Lab Automation