--- title: "chatllm.cpp vs wllama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/foldl-chatllm-cpp-vs-ngxson-wllama" tools: ["foldl-chatllm-cpp", "ngxson-wllama"] --- # chatllm.cpp vs wllama *GraphCanon updated Aug 25, 2026* ## Verdict Pick chatllm.cpp if this C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU; pick wllama if webAssembly bindings for browser-based inference of llama.cpp. [chatllm.cpp](https://github.com/foldl/chatllm.cpp) reports 917 GitHub stars, 72 forks, and 11 open issues, last pushed Aug 22, 2026. [wllama](https://huggingface.co/spaces/ngxson/wllama) has 1.2k stars, 117 forks, and 53 open issues, last pushed Jun 17, 2026. Figures are from public GitHub metadata via [chatllm.cpp's repository](https://github.com/foldl/chatllm.cpp) and [wllama's repository](https://github.com/ngxson/wllama). | | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | [wllama](/tools/ngxson-wllama.md) | | --- | --- | --- | | Tagline | C++ real-time chat models for CPU and GPU | WebAssembly binding for llama.cpp - Enabling on-browser LLM inference | | Stars | 917 | 1,159 | | Forks | 72 | 117 | | Open issues | 11 | 53 | | Language | C++ | TypeScript | | Adopt for | This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. | WebAssembly bindings for browser-based inference of llama.cpp. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | [wllama](/tools/ngxson-wllama.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 2d | 51d | | Open issues (now) | 11 | 53 | | Stars delta | +5 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/foldl-chatllm-cpp/trust.md) | [trust report](/tools/ngxson-wllama/trust.md) | ## Decision facts: chatllm.cpp - **Adopt for:** This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. ## Decision facts: wllama - **Adopt for:** WebAssembly bindings for browser-based inference of llama.cpp. ## Choose when ### Choose chatllm.cpp if… - chatllm.cpp is primarily C++; wllama is TypeScript. - Tags unique to chatllm.cpp: cpu-support, gpu-support, llm-inference, real-time-chatting. - Also covers LLM Frameworks. - When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses. ### Choose wllama if… - wllama is primarily TypeScript; chatllm.cpp is C++. - Tags unique to wllama: llama, llamacpp, wasm, webassembly. - Need browser-based LLM inference directly through WebAssembly. ## When NOT to use chatllm.cpp - Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. - Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities. ## 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. ## Common questions ### What is the difference between chatllm.cpp and wllama? chatllm.cpp: C++ real-time chat models for CPU and GPU. 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 chatllm.cpp over wllama? Choose chatllm.cpp over wllama when chatllm.cpp is primarily C++; wllama is TypeScript; Tags unique to chatllm.cpp: cpu-support, gpu-support, llm-inference, real-time-chatting; Also covers LLM Frameworks; When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses. ### When should I choose wllama over chatllm.cpp? Choose wllama over chatllm.cpp when wllama is primarily TypeScript; chatllm.cpp is C++; Tags unique to wllama: llama, llamacpp, wasm, webassembly; Need browser-based LLM inference directly through WebAssembly. ### When should I avoid chatllm.cpp? Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities. ### 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 chatllm.cpp or wllama more popular on GitHub? wllama has more GitHub stars (1,159 vs 917). Stars measure visibility, not whether either tool fits your constraints. ### Are chatllm.cpp and wllama open source? Yes - both are open-source projects on GitHub (chatllm.cpp: MIT, wllama: MIT). ### Where can I find alternatives to chatllm.cpp or wllama? GraphCanon lists graph-backed alternatives at [chatllm.cpp alternatives](/tools/foldl-chatllm-cpp/alternatives) and [wllama alternatives](/tools/ngxson-wllama/alternatives) ([chatllm.cpp markdown twin](/tools/foldl-chatllm-cpp/alternatives.md), [wllama markdown twin](/tools/ngxson-wllama/alternatives.md)), 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](/compare/foldl-chatllm-cpp-vs-ngxson-wllama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chatllm.cpp or wllama? chatllm.cpp: Very active. wllama: Steady. 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 chatllm.cpp and wllama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatllm.cpp trust report](/tools/foldl-chatllm-cpp/trust); [wllama trust report](/tools/ngxson-wllama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=foldl-chatllm-cpp`](/api/graphcanon/graph?tool=foldl-chatllm-cpp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_