AI Data & Analytics

Teams can use Dot as an AI data analyst to ask questions, generate SQL and charts, and produce reports through Slack or Teams.

Forvio analyzes marketing mix performance to help teams compare the efficiency of their marketing channels.

Giskard provides open source evaluation and testing tools for LLM agents.

19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.

Earn your Master of Information and Data Science online from UC Berkeley in 2026. Master complex data and become a tech industry leader.

FluidAI Medical uses sensing and AI insights to support real-time monitoring of surgical recovery.

Compare and rank text-to-image models on the Text-to-Image Arena leaderboard.

An open-source visual programming environment for battle-testing prompts to LLMs.

Enables data-driven, interactive data analytics and collaborative documents.

agent-learning-kit provides an evaluation and simulation environment for AI-related workflows.

Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.

skill-optimizer benchmarks, evaluates, and optimizes skills to check their performance across large language models.

Sola Security provides a shared security context layer that helps teams and agents answer questions about their environment.

This image captioning tool generates a concise description of the visual elements and context in an image.

PyTorch Frame provides a library for applying deep learning models to tabular data.

A Python package to assess and improve fairness of machine learning models.

VeritasGraph combines knowledge graphs and GraphRAG for multi hop reasoning and attributed retrieval over user data.

This repository catalogs AI models across providers with pricing, context, modality, and capability data.

NuExtract extracts structured JSON and Markdown from documents using multimodal language models.

Use Quadratic as an AI spreadsheet that connects to data and helps create explainable, shareable insights.

NALP covers Natural Adversarial Language Processing through a dedicated library.

Jsonify builds extraction pipelines that fetch, process, and verify public data from websites and apps, then keep them running.