ado
ibm.github.io
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
- Experimentation Platforms#20 of 236.9