Confidence Python Packages

jevper

Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients

orange3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

janus-decide

Measure when to use Jev and other models on your data, then route accordingly.

bluewhale3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

mcp-confidence

A drop-in confidence gate for LLM agents: turn token logprobs into an accept / verify / ask-a-human routing decision, with honest per-model calibration. Local & open-model first, plus an MCP server.

pitci

Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/

pyfeldmancousins

General-purpose code to compute Feldman-Cousins confidence intervals

iaa-kit

Measure inter-annotator agreement with modern metrics, uncertainty, ordinal support, and missing-data handling.

orange3-associate-zh

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

hlucb

Implementation of Hamming-LUCB algorithm for approximate sorting

blauwal3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!