PyRank
  • Search
  • PyPI
  • GitHub
  • Insights
  • Compare
  • Advisories
  • Ecosystem
  • About

Self Driving Lab Python Packages

Python packages with the GitHub topic self-driving-lab. Sorted by monthly downloads, with stars and forks.
AD-SDL
madsci-common

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-client

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-node-module

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-workcell-manager

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-data-manager

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-resource-manager

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-experiment-manager

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-event-manager

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

2K 89 12
AD-SDL
madsci-experiment-application

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

1K 89 12
AD-SDL
madsci-location-manager

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

741 89 12
AD-SDL
madsci-squid

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

714 89 12
sparks-baird
self-driving-lab-demo

Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.

573 89 18
kadubon
audit-closed-ai-scientist

Benchmark for statistically valid AI scientist systems, using audit-closed protocols, transparency logs, and sequential inference to prevent false discoveries in autonomous research agents.

133 1 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology