External plugins

The external plugin index tracks optional extensions that remain outside the core package. Each entry must:

• Reuse the calibrated prediction bridge and respect ADR-024/025/026 guardrails.

• Highlight binary & multiclass classification plus probabilistic and interval regression coverage.

• Document optional telemetry or compliance hooks inside the Optional extras section of the hosting page.

Vetted plugins

Identifier	Summary	Install	Notes
core.explanation.fast / core.interval.fast	FAST explanations and interval calibrators packaged as an opt-in bundle.	pip install "calibrated-explanations[external-plugins]" then external_plugins.fast_explanations.register()	Treat as an optional speed-up; probabilistic regression parity remains the headline capability.

Community submissions

This table is reserved for community-maintained plugins. Open an issue with the plugin metadata, ADR alignment notes, and calibration guarantees to request listing.

Identifier	Contact	Status
TBD	community	Pending

Optional: aggregated install extra

pip install "calibrated-explanations[external-plugins]" installs every curated external plugin plus the pinned versions of numpy, pandas, and scikit-learn required by FAST mode. Import the relevant module and call its register() helper to populate the registry.

Optional: telemetry disclosure

External plugins should clearly mark telemetry emission as opt-in and link back to Optional telemetry scaffolding whenever instrumentation is enabled.