How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
coverage](https://github.com/julianschmocker/shinyChatR/actions/workflows/test-coverage.yaml/badge.svg)](https://github.com/julianschmocker/shinyChatR/actions/workflows/test-coverage.yaml)
maturing](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) status](https://www.r-pkg.org/badges/version/gptstudio)](https://CRAN.R-project.org/package=gptstudio)…
R Shiny Interface for Chatting with LLMs Offline via Ollama
coverage](https://codecov.io/gh/mlverse/chattr/branch/main/graph/badge.svg)](https://app.codecov.io/gh/mlverse/chattr?branch=main)
QueryChat facilitates safe and reliable natural language exploration of tabular data, powered by SQL and large language models (LLMs).
The main features of posit-dev/querychat are: AI and Chat, Chat Interfaces.
Open-source alternatives to posit-dev/querychat include: michelnivard/gptstudio — maturing](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.… posit-dev/shinychat — Chat UI component for Shiny. ineelhere/shiny.ollama — R Shiny Interface for Chatting with LLMs Offline via Ollama. julianschmocker/shinychatr — coverage](https://github.com/julianschmocker/shinyChatR/actions/workflows/test-coverage.yaml/badge.svg)](https://github… mlverse/chattr — coverage](https://codecov.io/gh/mlverse/chattr/branch/main/graph/badge.svg)](https://app.codecov.io/gh/mlverse/chattr?b… deep-diver/llm-as-chatbot — LLM as a Chatbot Service.