Search Packages

raiutils

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

erroranalysis

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

responsibleai

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

nestcheck

Error analysis, diagnostic tests and plots for nested sampling calculations.

xdem

Analysis of digital elevation models and elevation point clouds

raiwidgets

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

rai-test-utils

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

responsibleai-vision

SDK API to assess image Machine Learning models.

olliepy

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

responsibleai-text

SDK API to assess text Machine Learning models.

agentfailurediscovery

Agent Failure Discovery - Analyze agent transcripts to discover error patterns and build failures taxonomies

nlp-feature-extractors

NLP Feature Extractors

erroranalysis-py

Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).

pyirstdmetrics

[NeurIPS 2025 (D&B)] Rethinking Evaluation of Infrared Small Target Detection

pymortem

Post-mortem debugging tool for Python that provides direct access to variables and frames after exceptions occur. Rich tracebacks, frame inspection, and context execution without separate interactive shells.

nobunaga

Nobunaga: Object Detection Analyzer