{"repo":"IBM/ado","free":true,"listed":false,"github":"https://github.com/IBM/ado","clone":"git clone https://github.com/IBM/ado.git","description":"A framework for designing, executing and analysing experiment campaigns","language":"Python","stars":62,"topics":["discovery","exploration","optimization","orchestration","ray","performance-optimization","foundation-models","experimentation"],"license":"MIT","category":"workflow-automation","readme_excerpt":"ado — accelerated discovery orchestrator ado is a Python platform for designing computational experiment campaigns and executing them at scale . It enables distributed teams of researchers and engineers to collaborate, execute experiments, and share data. You can extend ado across different domains through its plugin model — often as simple as decorating a Python function. By integrating your methodology, you gain cross-cutting capabilities — such as parallel execution , data provenance , and a unified CLI — alongside a structured foundation that allows AI coding agents to autonomously formulate and run your experiments . At its core Concept Role ------------------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Discovery Space Defines what to measure, how to measure it (via Experiments, which are pluggable python functions), and where to store results. Operation You explore or analyse a Discovery Space using operations. You can select from different operators to perform different types of operations. Operators are also pluggable python functions. Sample Store Stores the results of measurements, and enables operations to transparently reuse existing results (memoization). Try It Out The following example runs a small experiment campaign that samples combinations of mass and volume , computes density at each point, and stores the results.","default_branch":null,"files":null,"tree":[],"storefront":"/r/IBM","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/IBM/ado/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}