GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026
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Decision brief
Server is a standalone HTTP-based inference server for deploying Rubix ML estimators using PHP.
Good fit when
- When you are working with machine learning models trained in the Rubix ML framework and need to deploy them via a PHP-based infrastructure.
- If your project requirements include serving model predictions through an HTTP API written in PHP.
Avoid when
- Avoid using if your primary technology stack is not based on PHP, as it would necessitate integration with a non-native language environment, increasing complexity.
- Do not use this tool for large-scale deployments requiring high throughput and low latency typical of more robust languages like Python or Rust.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (164d since push)
- As of Aug 14, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 14, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/RubixML/ServerSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides a standalone HTTP-based server to deploy and serve machine learning models trained with Rubix ML, using PHP language.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Aug 14, 2026
- Languages
- php, javascript, typescript
Source: github.language+package.json · Aug 14, 2026
Categories
Tags
README
Installation Install Rubix Server using Composer: Docker Image A Docker Image is available for a quick start or deployment. Requirements PHP 7.4 or above License The code is licensed MIT and the documentation is licensed CC BY NC 4.0.
For agents
This page has a .md twin and JSON over the API.