# keras-team/keras-io

Keras documentation, hosted live at keras.io

Repository: https://github.com/keras-team/keras-io
Canonical: https://ross.abutalabs.com/products/keras-io
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T16:52:30+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2310, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3005, forks 2121 (observed 2026-08-28T04:07:37.578828+00:00)

## What it is
The repository that generates the keras.io documentation website, including guides and code examples for the Keras deep learning framework. Examples are maintained as 'tutobooks' available simultaneously as Python scripts, notebooks, and rendered web pages.

## Use cases
- learn how to build neural networks with Keras
- find Keras code examples for computer vision and NLP
- read official Keras API guides online
- contribute a new Keras tutorial example
- build a local copy of the keras.io documentation site
- convert Jupyter notebooks into rendered tutorial pages

## When to choose
- you want official, maintained Keras tutorials and guides
- you want to contribute examples to keras.io
- you need to generate or preview the keras.io site locally

## When to avoid
- you need the Keras library itself rather than its documentation
- you need documentation for other deep learning frameworks like PyTorch
- you want a general-purpose static site generator

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, machine-learning, deep-learning
- domain: machine-learning, deep-learning, documentation, tutorials
- platform: python
- tags: keras, documentation-site, code-examples, tutobooks, jupyter-notebooks, static-site, web-server, docker

## Member repositories
- keras-team/keras-io (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:37.578828+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 2026-08-30T07:30:23.466769+00:00, confidence not recorded.
  - readme: https://github.com/keras-team/keras-io (fetched 2026-08-28T04:07:37.578828+00:00, sha 5ebe1e1d405a)
- Data as of 2026-08-30T08:39:29.467469+00:00.