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RubixML/Server

Standalone inference server for Rubix ML estimators.

GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026

27views this month

63 stars13 forksLast push Mar 3, 2026 PHP MIT

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/Server

Similar tools

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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.

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