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Comparison

rig vs shimmy

Verdict

Pick rig if rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities; pick shimmy if shimmy is a Rust-based inference engine that supports WebGPU for local machine learning model inference, compatible with the OpenAI API and GGUF models, offering a.

Markdown twin · rig alternatives · shimmy alternatives

GraphCanon updated Sep 30, 2026

rig logo

rig

0xPlaygrounds/rig

★ 8.7kpushed Sep 19, 2026
vs
shimmy logo

shimmy

Michael-A-Kuykendall/shimmy

★ 5.9kpushed Aug 30, 2026

Trust & integrity

Signalrigshimmy
Maintenance
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Active (18d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
rig trust reportshimmy trust reportTrust methodology

Tagline

rig
Build modular and scalable LLM Applications in Rust
shimmy
Pure-Rust WebGPU inference engine, OpenAI-API compatible, GGUF native

Stars

rig
8.7k
shimmy
5.9k

Forks

rig
974
shimmy
576

Open issues

rig
102
shimmy
10

Language

rig
Rust
shimmy
Rust

Adopt for

rig
Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities.
shimmy
Shimmy is a Rust-based inference engine that supports WebGPU for local machine learning model inference, compatible with the OpenAI API and GGUF models, offering a command-line interface.

Persona

rig
-
shimmy
-

Runtime

rig
-
shimmy
-

License

rig
MIT
shimmy
Apache-2.0

Last pushed

rig
Sep 19, 2026
shimmy
Aug 30, 2026

Categories

rig
AI Agents, LLM Frameworks
shimmy
Developer Tools, Inference & Serving

Trust and health

Maintenance

rig
Very active (96%)
shimmy
Active (82%)

Days since push

rig
0d
shimmy
18d

Open issues (now)

rig
102
shimmy
10

Stars delta

rig
+351 (30d)
shimmy
+193 (30d)

Open issues delta

rig
-11 (30d)
shimmy
-1 (30d)

Owner type

rig
Organization
shimmy
User

Full report

rig
Trust report
shimmy
Trust report

Choose rig if…

  • License: rig is MIT, shimmy is Apache-2.0.
  • Self-hosted as a Rust library.
  • Pricing: Free to use under MIT license with potential premium support options..
  • Tags unique to rig: agent, ai, artificial-intelligence, automation.
  • Also covers AI Agents, LLM Frameworks.
  • You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.

When NOT to use rig

  • Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment.
  • Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.
GitHubDetails

Choose shimmy if…

  • License: shimmy is Apache-2.0, rig is MIT.
  • Requirements: Shimmy requires a GPU for optimal performance.; The tool is designed to be used with GGUF models and is compatible with the OpenAI API..
  • Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface.
  • Also covers Developer Tools, Inference & Serving.
  • shimmy ships Docker support for self-hosted deployment.
  • When you need a Rust-based inference engine that supports WebGPU for running machine learning models locally.

When NOT to use shimmy

  • If you require a solution that supports languages other than Rust or frameworks that are not WebGPU-based.
  • When you need a tool that integrates with Python or llama.cpp, as Shimmy explicitly avoids these dependencies.
  • If you are looking for a multi-component system; Shimmy is designed as a single binary for simplicity.
  • When you need a paid product with additional features or support, as Shimmy is committed to being free forever.
GitHubDetails

Explore

rig trust report →shimmy trust report →AI Agents category →LLM Frameworks category →Developer Tools category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: rig 8.7k · shimmy 5.9k (synced Sep 20, 2026).

Common questions

What is the difference between rig and shimmy?
rig: Build modular and scalable LLM Applications in Rust. shimmy: Pure-Rust WebGPU inference engine, OpenAI-API compatible, GGUF native. See the comparison table for live GitHub stats and shared categories.
When should I choose rig over shimmy?
Choose rig over shimmy when License: rig is MIT, shimmy is Apache-2.0; Self-hosted as a Rust library; Pricing: Free to use under MIT license with potential premium support options.; Tags unique to rig: agent, ai, artificial-intelligence, automation; Also covers AI Agents, LLM Frameworks; You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.
When should I choose shimmy over rig?
Choose shimmy over rig when License: shimmy is Apache-2.0, rig is MIT; Requirements: Shimmy requires a GPU for optimal performance.; The tool is designed to be used with GGUF models and is compatible with the OpenAI API.; Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface; Also covers Developer Tools, Inference & Serving; shimmy ships Docker support for self-hosted deployment; When you need a Rust-based inference engine that supports WebGPU for running machine learning models locally.
When should I avoid rig?
Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.
When should I avoid shimmy?
If you require a solution that supports languages other than Rust or frameworks that are not WebGPU-based. When you need a tool that integrates with Python or llama.cpp, as Shimmy explicitly avoids these dependencies. If you are looking for a multi-component system; Shimmy is designed as a single binary for simplicity. When you need a paid product with additional features or support, as Shimmy is committed to being free forever.
Is rig or shimmy more popular on GitHub?
rig has more GitHub stars (8,679 vs 5,890). Stars measure visibility, not whether either tool fits your constraints.
Are rig and shimmy open source?
Yes - both are open-source projects on GitHub (rig: MIT, shimmy: Apache-2.0).
Where can I find alternatives to rig or shimmy?
GraphCanon lists graph-backed alternatives at rig alternatives and shimmy alternatives (rig markdown twin, shimmy markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, rig or shimmy?
rig: Very active. shimmy: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for rig and shimmy?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rig trust report; shimmy trust report.

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