Comparison
shimmy vs wllama
Verdict
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 command-line interface; pick wllama if webAssembly bindings for browser-based inference of llama.cpp.
Markdown twin · shimmy alternatives · wllama alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | shimmy | wllama |
|---|---|---|
| Maintenance | Active (18d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 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 |
Tagline
- shimmy
- Pure-Rust WebGPU inference engine, OpenAI-API compatible, GGUF native
- wllama
- WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
Stars
- shimmy
- 5.9k
- wllama
- 1.2k
Forks
- shimmy
- 576
- wllama
- 121
Open issues
- shimmy
- 10
- wllama
- 47
Language
- shimmy
- Rust
- wllama
- TypeScript
Adopt for
- 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.
- wllama
- WebAssembly bindings for browser-based inference of llama.cpp.
Persona
- shimmy
- -
- wllama
- -
Runtime
- shimmy
- -
- wllama
- -
License
- shimmy
- Apache-2.0
- wllama
- MIT
Last pushed
- shimmy
- Aug 30, 2026
- wllama
- Sep 6, 2026
Categories
- shimmy
- Developer Tools, Inference & Serving
- wllama
- Inference & Serving
Trust and health
Maintenance
- shimmy
- Active (82%)
- wllama
- Very active (96%)
Days since push
- shimmy
- 18d
- wllama
- 0d
Open issues (now)
- shimmy
- 10
- wllama
- 47
Stars delta
- shimmy
- +193 (30d)
- wllama
- +37 (30d)
Open issues delta
- shimmy
- -1 (30d)
- wllama
- -6 (30d)
OSV dependency advisories
- shimmy
- No lockfile (source not queried)
- wllama
- Published findings
Full report
- shimmy
- Trust report
- wllama
- Trust report
Choose shimmy if…
- shimmy is primarily Rust; wllama is TypeScript.
- License: shimmy is Apache-2.0, wllama 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.
- 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.
Choose wllama if…
- wllama is primarily TypeScript; shimmy is Rust.
- License: wllama is MIT, shimmy is Apache-2.0.
- Tags unique to wllama: llama, llamacpp, llm, wasm.
- Need browser-based LLM inference directly through WebAssembly.
When NOT to use wllama
- Require direct native execution speed benefits unavailable in a WebAssembly context.
- Developing server-side applications without the need for client-side inference capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Michael-A-Kuykendall/shimmy) · observed Sep 20, 2026
- GitHub forks (Michael-A-Kuykendall/shimmy) · observed Sep 20, 2026
- Last push (Michael-A-Kuykendall/shimmy) · observed Aug 30, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (ngxson/wllama) · observed Sep 20, 2026
- GitHub forks (ngxson/wllama) · observed Sep 20, 2026
- Last push (ngxson/wllama) · observed Sep 6, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: shimmy 5.9k · wllama 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between shimmy and wllama?
- shimmy: Pure-Rust WebGPU inference engine, OpenAI-API compatible, GGUF native. wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. See the comparison table for live GitHub stats and shared categories.
- When should I choose shimmy over wllama?
- Choose shimmy over wllama when shimmy is primarily Rust; wllama is TypeScript; License: shimmy is Apache-2.0, wllama 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; 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 choose wllama over shimmy?
- Choose wllama over shimmy when wllama is primarily TypeScript; shimmy is Rust; License: wllama is MIT, shimmy is Apache-2.0; Tags unique to wllama: llama, llamacpp, llm, wasm; Need browser-based LLM inference directly through WebAssembly.
- 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.
- When should I avoid wllama?
- Require direct native execution speed benefits unavailable in a WebAssembly context. Developing server-side applications without the need for client-side inference capabilities.
- Is shimmy or wllama more popular on GitHub?
- shimmy has more GitHub stars (5,890 vs 1,196). Stars measure visibility, not whether either tool fits your constraints.
- Are shimmy and wllama open source?
- Yes - both are open-source projects on GitHub (shimmy: Apache-2.0, wllama: MIT).
- Where can I find alternatives to shimmy or wllama?
- GraphCanon lists graph-backed alternatives at shimmy alternatives and wllama alternatives (shimmy markdown twin, wllama 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, shimmy or wllama?
- shimmy: Active. wllama: Very 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 shimmy and wllama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: shimmy trust report; wllama trust report.