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> ML_LIBRARY // ALIBI_v1.0

Alibi

Seldon Technologies — Seldon's model inspection library specializing in counterfactual recourse and anchor explanations.

privacy-security-optimizationv0.9.6Apache-2.0qualified
Official DocumentationSource Repository

Model Training

Not Supported

This library is a dedicated runtime engine for inference serving and does not train models.

Model Inference

Supported
Inference Accelerators:
CPUCUDA
Deployment Targets:server

What It Does

  • +Counterfactual explanations: find the minimum input change required to flip a model prediction ("What should the applicant change to get approved?")
  • +Anchor explanations: high-precision, human-readable if-then decision rules that guarantee the prediction
  • +Integrated Gradients and TreeSHAP wrappers for attribution
  • +Companion library Alibi Detect for drift, outlier, and adversarial input detection

What It Does Not Do

  • -Train base machine learning models from scratch
  • -Serve high-throughput real-time APIs natively without Seldon Core or BentoML
  • -Run client-side in pure WebAssembly browser engines

>Suitable Work Types

  • Generating actionable recourse for denied loan applicants ("Increase income by $500/month or reduce credit card balance by $2,000")
  • Anchor explanations generating verified rules for medical diagnostic systems
  • Auditing model robustness against adversarial perturbations

>Unsuitable Work Types

  • Real-time streaming scoring with sub-10ms latency (counterfactual search is optimization-driven and takes seconds)
  • Large language model pretraining
Data Residency Implications

Runs strictly locally in memory. Zero external network telemetry.

Security Considerations

Apache-2.0 license with permissive commercial rights.

Operational Profile & Known Limitations

Maturity:mature
Learning Curve:moderate
Ops Complexity:moderate
Cost Tier:free-oss
> Known Limitations:
  • Counterfactual search uses gradient descent optimization over the input space, which can take several seconds per individual instance.

Associated Incident Patterns (Incidentpedia)

Enforce safeguards and monitoring to guard against these documented real-world failure modes:

thread-pool-exhaustion

> Primary Evidence & Benchmark Citations

Alibi Documentationofficial-docs • >=0.9.0, <=0.9.x
2026-09-25HIGH