BudgetML

Overview

BudgetML is a Python library for deploying machine learning inference services quickly and cheaply. It can be set up with fewer than ten lines of code, using a simple API. The project is open source and community maintained.

Best for

Best for
Developers who need a lightweight, low-cost way to serve ML models without complex infrastructure

Use cases

• Rapidly prototyping ML API endpoints
• Serving models with minimal infrastructure cost
• Adding inference to web applications with low overhead

Notes

BudgetML is a Python library for deploying machine learning inference services quickly and cheaply. It can be set up with fewer than ten lines of code, using a simple API. The project is open source and community maintained.

1,345 stars on GitHub. Last updated 2024-02-12. Licensed Apache-2.0.

Use cases

• Rapidly prototyping ML API endpoints
• Serving models with minimal infrastructure cost
• Adding inference to web applications with low overhead

Pros

• Extremely simple to set up with little code
• Low resource usage and cost effective
• Open source with active community

Cons

• May lack advanced routing or scaling features
• Limited to Python ecosystem
• Documentation and support may be less comprehensive than commercial alternatives

Indexed from awesome-llmops and enriched against its public facts.