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SPECIFICTION
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ado

ibm.github.io

APISelf-hosted
Visit ibm.github.io
Spec score 6.9 #20 of 23 in Experimentation Platforms

Spec sheet

Purpose
ado is a Python platform for designing computational experiment campaigns and executing them at scale.Read 4 Oct 2026 · ibm.github.io
Intended users
The user guide is aimed at researchers and benchmarkers who want to run experiments, explore parameter spaces, and analyse results.Read 4 Oct 2026 · ibm.github.io
Integrations
The documentation describes remote execution on Ray clusters and backend deployment with Kubernetes or OpenShift.Read 4 Oct 2026 · ibm.github.io
Agent workflows
Bundled agent skills can help AI coding assistants formulate research campaigns, run experiments, query data, and analyse results.Read 4 Oct 2026 · ibm.github.io
Data backend
The backend guide covers a distributed MySQL setup and onboarding projects to it.Read 4 Oct 2026 · ibm.github.io
Examples
Listed use cases include fine-tuning and inference performance benchmarking and predictive performance model creation.Read 4 Oct 2026 · github.com
Extensibility
Experiments and operators can be extended through a plugin model using Python functions.Read 4 Oct 2026 · ibm.github.io
Research workflow
Its documented workflow covers choosing experiments, defining a parameter space, configuring a strategy, executing experiments, and analysing results.Read 4 Oct 2026 · ibm.github.io
Result storage
The sample store saves measurement results and can reuse existing results through memoization.Read 4 Oct 2026 · ibm.github.io
Support and contributions
The project welcomes contributions and directs users to its GitHub issue tracker for feature proposals and bug tracking.Read 4 Oct 2026 · ibm.github.io
Team collaboration
ado enables distributed teams of researchers and engineers to collaborate, run experiments, and share data.Read 4 Oct 2026 · ibm.github.io
Validation and provenance
The documentation says ado supports validated schemas, dry runs, structured results, and provenance that records resource relationships and plugin versions.Read 4 Oct 2026 · ibm.github.io

Where Specifiction places it

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