# Apache Mahout

**Canonical:** https://apis.io/providers/apache-mahout/  
**Website:** https://mahout.apache.org/  
**APIs profiled:** 2

Apache Mahout is an open-source framework for building scalable machine learning applications. The project has evolved to include Qumat, a unified Python API for building quantum circuits that runs across multiple quantum backends including Qiskit, Cirq, and Amazon Braket, along with QDP for GPU-accelerated classical-to-quantum data encoding.

## Kin Score — 17.0 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 17.0).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 26.3 |
| Developer Ergonomics | 11.9 |
| 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 (2)

- **Qumat** — Qumat is a unified Python API for building and executing quantum circuits across multiple quantum computing backends including Qiskit, Cirq, and Amazon Braket. It provides a har...
- **Apache Mahout Samsara** — Mahout Samsara is a distributed linear algebra DSL in Scala for building machine learning algorithms on Apache Spark. It provides matrix decompositions, collaborative filtering,...

## Security (2)

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

## Plans (1)

- **Apache Mahout Plans Pricing**

## Use cases (4)

- **Quantum Machine Learning** — Build variational quantum algorithms and quantum neural networks using parameterized circuits via the Qumat API.
- **Quantum Algorithm Research** — Prototype and test quantum algorithms across different hardware backends without rewriting circuit code.
- **Large-Scale Recommendation** — Build distributed recommendation systems processing billions of user-item interactions using Mahout on Spark.
- **Distributed Clustering** — Cluster large datasets using distributed K-Means and other algorithms running on Apache Spark.

## Tags

Distributed Computing, Machine-Learning, Python, Quantum Computing, Scala

---

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