# gluon-api/gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

Repository: https://github.com/gluon-api/gluon-api
Canonical: https://ross.abutalabs.com/products/gluon-api
Language: Jupyter Notebook
License Family: other
Topics: deep-learning, deep-learning-framework, deep-learning-tutorial, neural-network, neural-networks, imperative-programming, gluon
Archived: true
Last push: 2026-01-14T23:33:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 62, release rhythm 35, longevity 100
- inputs: {"age_days": 3253, "days_push": 231, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2294, forks 218 (observed 2026-08-28T04:06:35.063531+00:00)

## What it is
Gluon API is a clear, concise, and efficient interface for building deep learning models with an imperative programming style, originally developed for Apache MXNet. The repository has been archived and is read-only, with no further development or maintenance.

## Use cases
- define and train neural networks with imperative-style code
- learn deep learning through Gluon tutorials and notebooks
- prototype model architectures quickly
- build hybridized models that compile to symbolic graphs
- study a historical deep learning API design

## When to choose
- you maintain legacy MXNet/Gluon code
- you want to study the Gluon API design or its tutorial notebooks
- you need a simple imperative interface for an existing MXNet setup

## When to avoid
- you are starting a new deep learning project (the project is archived)
- you need active community support, bug fixes, or security updates
- you want GPU acceleration with modern hardware support
- you need a framework with a large ecosystem like PyTorch or TensorFlow

## Facets
- artifact type: library
- maturity: abandoned
- function: deep-learning, machine-learning
- domain: deep-learning, machine-learning, artificial-intelligence
- platform: python, cross-platform
- tags: neural-networks, imperative-programming, mxnet, archived, tutorials

## Member repositories
- gluon-api/gluon-api (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:35.063531+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 2026-08-30T02:40:26.278791+00:00, confidence not recorded.
  - readme: https://github.com/gluon-api/gluon-api (fetched 2026-08-28T04:06:35.063531+00:00, sha 91ec167d459d)
- Data as of 2026-08-30T08:39:29.467469+00:00.