# Apache MXNet

**Canonical:** https://apis.io/providers/apache-mxnet/  
**Website:** https://mxnet.apache.org/  
**APIs profiled:** 1

Apache MXNet is a retired deep learning framework (now in the Apache Attic) designed for both efficiency and flexibility. It provided a multi-language API for building and training deep neural networks with support for distributed training, the Gluon high-level API, and deployment on edge devices. MXNet supported Python, Scala, Java, C++, R, Julia, and Perl.

## Kin Score — 17.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 17.9).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 36.8 |
| Developer Ergonomics | 9.5 |
| Commercial Clarity | 26.3 |
| Access Clarity | 26.3 |

## Agent readiness — 3.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (1)

- **Apache MXNet** — MXNet provides APIs in Python, Scala, Java, C++, R, Julia, and Perl for deep learning model development, with the Gluon high-level API for imperative model building, Symbol/NDAr...

## Security (2)

- **Apache Mxnet Domain Security** — TLSv1.3 · HSTS · DMARC
- **Apache Mxnet Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Apache Mxnet Plans Pricing**

## Use cases (5)

- **Computer Vision** — Build and train image classification, object detection, and segmentation models using GluonCV toolkit.
- **Natural Language Processing** — Develop NLP models for text classification, sentiment analysis, and language modeling using GluonNLP.
- **Time Series Forecasting** — Build time series forecasting models using the GluonTS toolkit for probabilistic forecasting.
- **Distributed Deep Learning** — Train large neural networks across multiple GPUs and nodes using Parameter Server or Horovod.
- **Research Prototyping** — Rapid prototyping of novel deep learning architectures using the Gluon imperative API.

## Tags

Artificial Intelligence, Deep Learning, Machine-Learning, Neural Networks, Python, Retired

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/apache-mxnet/). Scores are computed from the provider's own public artifacts under a published rubric.