Rigging
Lightweight framework for interacting with language models in Rust.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Rigging?
Rigging is a lightweight interaction framework written in Rust that simplifies the process of working with large language models. It provides a robust and efficient way to integrate LLMs into applications, making it easier for developers to build AI-driven features without complex setup.
Key differentiator
“Rigging stands out as a lightweight, efficient Rust framework for LLM interaction, offering simplicity and minimal overhead compared to more complex alternatives.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Primary development and documentation focus on Rust, with limited official support for other languages.
GitHub repository shows low activity levels with infrequent updates to issues and pull requests.
Documentation is strong for basic usage but lacks depth on complex configurations and optimizations.
Fit analysis
Who is it for?
✓ Best for
Rust developers looking to integrate large language models efficiently.
Projects needing a lightweight framework for LLM interaction without complex dependencies.
✕ Not a fit for
Developers requiring extensive pre-built integrations with various frameworks and platforms.
Teams preferring managed services or cloud-based solutions over self-hosted options.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Rigging
Step-by-step setup guide with code examples and common gotchas.