An uncertain data having a definite value when measured.

Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload

Value-Suppressing Uncertainty Palettes. A technique for creating bivariate scales for depicting uncertainty, using D3.

CAVE domain model — claims, values, units, uncertainty, claim keys, UUIDv7 transactions.

Live multi-provider model evaluation with portable evidence and uncertainty.

Knowledge layer for claims, sources, evidence, uncertainty, contradictions, and known unknowns.

A programming language for uncertainty

Uncertainty-aware principal component analysis.

[](https://www.npmjs.com/package/@quri/squiggle-components) [](https://github.com/quantified-uncertainty/squiggle/b

[](https://www.npmjs.com/package/@quri/squiggle-lang) [](https://github.com/quantified-uncertainty/squiggle/blob/main/LIC

Self-learning demand forecasting and swarm-based inventory optimization with uncertainty quantification

A Redux middleware that adds uncertainty

A module for handling physics-style uncertainty-strings, like 1.873(34)

Thunk queue for uncertainty tasks evaluation.

Tetrameter — four measures of AI inference: energy, carbon, water and land, plus cost. Reference implementation of the Green Software Foundation SCI for AI specification. Every number carries an evidence tier, an uncertainty range and its sources.

Backstage frontend plugin for architectural hypotheses, uncertainty/impact tracking, and technical planning.

Real-time uncertainty index from 30,000+ prediction markets. One function, one number (0-100).

Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload

A bunch of tools to deal with uncertainty

MCP server for verification-as-a-service — check a claim against sources and get a confidence verdict (supported | refuted | mixed | insufficient) with citations. Deterministic, zero runtime dependencies, honest about uncertainty.