# Apache SystemDS

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

Apache SystemDS is an open-source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering to model training, debugging, and deployment. It provides a declarative machine learning language (DML), automatic optimization for different execution backends (local, distributed Spark), and a Python API (SystemDS Python). SystemDS is an Apache Software Foundation top-level project designed for scalable ML workflows.

## Kin Score — 18.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 18.1).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 23.7 |
| Developer Ergonomics | 19.0 |
| 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 SystemDS Python API** — The SystemDS Python API (systemds) provides a Python interface for building end-to-end ML pipelines. It includes Matrix and Frame types for distributed data manipulation, built-...

## Security (2)

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

## Plans (1)

- **Apache Systemds Plans Pricing**

## Use cases (3)

- **Distributed ML Training** — Train large-scale ML models distributed across Apache Spark clusters.
- **Federated Machine Learning** — Cross-silo federated learning for privacy-sensitive healthcare and finance data.
- **End-to-End ML Pipelines** — Integrated data preparation, feature engineering, training, and serving pipelines.

## Tags

AutoML, Data Science, Distributed Computing, Machine-Learning, Open-Source

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