--- title: "whichllm vs Atomic-Chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andyyyy64-whichllm-vs-atomicbot-ai-atomic-chat" tools: ["andyyyy64-whichllm", "atomicbot-ai-atomic-chat"] --- # whichllm vs Atomic-Chat *GraphCanon updated Sep 20, 2026* ## Verdict Pick whichllm if whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks; pick Atomic-Chat if atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. [whichllm](https://github.com/Andyyyy64/whichllm) reports 6.7k GitHub stars, 368 forks, and 13 open issues, last pushed Sep 19, 2026. [Atomic-Chat](https://atomic.chat) has 1.5k stars, 178 forks, and 55 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [whichllm's repository](https://github.com/Andyyyy64/whichllm) and [Atomic-Chat's repository](https://github.com/AtomicBot-ai/Atomic-Chat). | | [whichllm](/tools/andyyyy64-whichllm.md) | [Atomic-Chat](/tools/atomicbot-ai-atomic-chat.md) | | --- | --- | --- | | Tagline | Command-line tool to find and benchmark local LLM performance | Local AI app and inference engine for agents | | Stars | 6,666 | 1,526 | | Forks | 368 | 178 | | Open issues | 13 | 55 | | Language | Python | TypeScript | | Adopt for | whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks. | Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Evaluation & Observability, Inference & Serving | Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whichllm](/tools/andyyyy64-whichllm.md) | [Atomic-Chat](/tools/atomicbot-ai-atomic-chat.md) | | --- | --- | --- | | Open issues (now) | 13 | 55 | | Stars delta | +441 (30d) | +368 (30d) | | Open issues delta | -9 (30d) | +11 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/andyyyy64-whichllm/trust.md) | [trust report](/tools/atomicbot-ai-atomic-chat/trust.md) | ## Decision facts: whichllm - **Adopt for:** whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks. ## Decision facts: Atomic-Chat - **Hosting:** self hosted - **Requirements:** Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally. - **Adopt for:** Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. ## Choose when ### Choose whichllm if… - whichllm is primarily Python; Atomic-Chat is TypeScript. - License: whichllm is MIT, Atomic-Chat is Other. - Tags unique to whichllm: ai, apple-silicon, benchmarks, cli. - Also covers Evaluation & Observability. - When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts ### Choose Atomic-Chat if… - Atomic-Chat is primarily TypeScript; whichllm is Python. - License: Atomic-Chat is Other, whichllm is MIT. - Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.. - Tags unique to Atomic-Chat: ai-agent, local-first, open-source. - Also covers Developer Tools. - When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required. ## When NOT to use whichllm - In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required - When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow ## When NOT to use Atomic-Chat - Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. - Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen. ## Common questions ### What is the difference between whichllm and Atomic-Chat? whichllm: Command-line tool to find and benchmark local LLM performance. Atomic-Chat: Local AI app and inference engine for agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose whichllm over Atomic-Chat? Choose whichllm over Atomic-Chat when whichllm is primarily Python; Atomic-Chat is TypeScript; License: whichllm is MIT, Atomic-Chat is Other; Tags unique to whichllm: ai, apple-silicon, benchmarks, cli; Also covers Evaluation & Observability; When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts. ### When should I choose Atomic-Chat over whichllm? Choose Atomic-Chat over whichllm when Atomic-Chat is primarily TypeScript; whichllm is Python; License: Atomic-Chat is Other, whichllm is MIT; Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.; Tags unique to Atomic-Chat: ai-agent, local-first, open-source; Also covers Developer Tools; When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required. ### When should I avoid whichllm? In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow ### When should I avoid Atomic-Chat? Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen. ### Is whichllm or Atomic-Chat more popular on GitHub? whichllm has more GitHub stars (6,666 vs 1,526). Stars measure visibility, not whether either tool fits your constraints. ### Are whichllm and Atomic-Chat open source? Yes - both are open-source projects on GitHub (whichllm: MIT, Atomic-Chat: Other). ### Where can I find alternatives to whichllm or Atomic-Chat? GraphCanon lists graph-backed alternatives at [whichllm alternatives](/tools/andyyyy64-whichllm/alternatives) and [Atomic-Chat alternatives](/tools/atomicbot-ai-atomic-chat/alternatives) ([whichllm markdown twin](/tools/andyyyy64-whichllm/alternatives.md), [Atomic-Chat markdown twin](/tools/atomicbot-ai-atomic-chat/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/andyyyy64-whichllm-vs-atomicbot-ai-atomic-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whichllm or Atomic-Chat? whichllm: Very active. Atomic-Chat: 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 whichllm and Atomic-Chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whichllm trust report](/tools/andyyyy64-whichllm/trust); [Atomic-Chat trust report](/tools/atomicbot-ai-atomic-chat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andyyyy64-whichllm`](/api/graphcanon/graph?tool=andyyyy64-whichllm) - 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/_