# Chainlit/cookbook

Chainlit's cookbook repo

Repository: https://github.com/Chainlit/cookbook
Canonical: https://ross.abutalabs.com/products/chainlit-cookbook
Homepage: https://github.com/Chainlit/chainlit
Language: Python
License Family: other
Last push: 2025-08-25T22:07:37+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 38, release rhythm 35, longevity 86
- inputs: {"age_days": 1211, "days_push": 373, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1424, forks 433 (observed 2026-08-28T04:04:41.276608+00:00)

## What it is
A collection of example demo projects showing how to build chatbot UIs with Chainlit, a Python framework for conversational AI applications. Each folder is a standalone demo with its own requirements and configuration.

## Use cases
- learn how to build chatbot UIs with Chainlit
- find example code for a RAG chatbot in Python
- get started quickly with conversational AI apps
- see working demos of LLM chat interfaces
- copy a starter template for a chatbot app

## When to choose
- you want runnable example code for Chainlit
- you're learning to build conversational AI UIs in Python
- you need a starting template for a chatbot project

## When to avoid
- you need the Chainlit framework itself rather than examples
- you want a production-ready application out of the box
- you use a different chat UI framework

## Facets
- artifact type: learning-resource
- maturity: active
- function: chatbot, rag, llm-inference, agent-framework
- domain: large-language-models, chatbots, developer-tools, tutorials
- platform: python, cross-platform
- tags: chainlit, examples, cookbook, conversational-ai, demo-apps

## Member repositories
- Chainlit/cookbook (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.276608+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:37:33.231982+00:00, confidence not recorded.
  - readme: https://github.com/Chainlit/cookbook (fetched 2026-08-28T04:04:41.276608+00:00, sha 6930c84e54e7)
  - homepage: https://github.com/Chainlit/chainlit (fetched 2026-08-29T11:49:33.880747+00:00, sha 5ff0b7d95ff4)
- Data as of 2026-08-30T08:39:29.467469+00:00.