--- title: "parlor vs Good-GYM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fikrikarim-parlor-vs-yo-wassup-good-gym" tools: ["fikrikarim-parlor", "yo-wassup-good-gym"] --- # parlor vs Good-GYM *GraphCanon updated Aug 1, 2026* ## Verdict Pick parlor if parlor is an all-in-one multimodal AI solution running entirely on device for real-time voice and vision interactions; pick Good-GYM if good-GYM offers real-time pose estimation and exercise counting with optional GPU acceleration but requires running from source for full benefits. [parlor](https://github.com/fikrikarim/parlor) reports 1.9k GitHub stars, 245 forks, and 9 open issues, last pushed Jul 29, 2026. [Good-GYM](https://github.com/yo-WASSUP/Good-GYM) has 388 stars, 67 forks, and 1 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [parlor's repository](https://github.com/fikrikarim/parlor) and [Good-GYM's repository](https://github.com/yo-WASSUP/Good-GYM). | | [parlor](/tools/fikrikarim-parlor.md) | [Good-GYM](/tools/yo-wassup-good-gym.md) | | --- | --- | --- | | Tagline | On-device real-time multimodal AI for voice and vision | AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback | | Stars | 1,914 | 388 | | Forks | 245 | 67 | | Open issues | 9 | 1 | | Language | HTML | Python | | Adopt for | Parlor is an all-in-one multimodal AI solution running entirely on device for real-time voice and vision interactions. | Good-GYM offers real-time pose estimation and exercise counting with optional GPU acceleration but requires running from source for full benefits. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Computer Vision, Inference & Serving, Speech & Audio | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [parlor](/tools/fikrikarim-parlor.md) | [Good-GYM](/tools/yo-wassup-good-gym.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 29d | | Open issues (now) | 9 | 1 | | Full report | [trust report](/tools/fikrikarim-parlor/trust.md) | [trust report](/tools/yo-wassup-good-gym/trust.md) | ## Shared compatibility - **Python**: [parlor](/tools/fikrikarim-parlor.md) - Python runtime; [Good-GYM](/tools/yo-wassup-good-gym.md) - Python runtime ## Decision facts: parlor - **Adopt for:** Parlor is an all-in-one multimodal AI solution running entirely on device for real-time voice and vision interactions. ## Decision facts: Good-GYM - **Adopt for:** Good-GYM offers real-time pose estimation and exercise counting with optional GPU acceleration but requires running from source for full benefits. ## Choose when ### Choose parlor if… - parlor is primarily HTML; Good-GYM is Python. - License: parlor is Apache-2.0, Good-GYM is MIT. - Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm. - Also covers Inference & Serving, Speech & Audio. - Need to run complex, interactive AI locally without relying on cloud services. ### Choose Good-GYM if… - Good-GYM is primarily Python; parlor is HTML. - License: Good-GYM is MIT, parlor is Apache-2.0. - Tags unique to Good-GYM: ai, computer-vision, exercise, fitness. - If you need real-time feedback on your workouts and can install dependencies directly, including Python and a webcam. ## When NOT to use parlor - Limited by Python 3.12 requirement and need for specialized hardware such as Apple Silicon. - Insufficient ~3 GB RAM makes it unsuitable for environments with tight memory constraints. ## When NOT to use Good-GYM - Avoid if relying solely on pre-packaged EXE files as they only support CPU mode without potential for GPU acceleration. - Do not use if your deployment requires strict adherence to closed-source distribution, since running from source is needed for full functionality. ## Common questions ### What is the difference between parlor and Good-GYM? parlor: On-device real-time multimodal AI for voice and vision. Good-GYM: AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback. See the comparison table for live GitHub stats and shared categories. ### When should I choose parlor over Good-GYM? Choose parlor over Good-GYM when parlor is primarily HTML; Good-GYM is Python; License: parlor is Apache-2.0, Good-GYM is MIT; Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm; Also covers Inference & Serving, Speech & Audio; Need to run complex, interactive AI locally without relying on cloud services. ### When should I choose Good-GYM over parlor? Choose Good-GYM over parlor when Good-GYM is primarily Python; parlor is HTML; License: Good-GYM is MIT, parlor is Apache-2.0; Tags unique to Good-GYM: ai, computer-vision, exercise, fitness; If you need real-time feedback on your workouts and can install dependencies directly, including Python and a webcam. ### When should I avoid parlor? Limited by Python 3.12 requirement and need for specialized hardware such as Apple Silicon. Insufficient ~3 GB RAM makes it unsuitable for environments with tight memory constraints. ### When should I avoid Good-GYM? Avoid if relying solely on pre-packaged EXE files as they only support CPU mode without potential for GPU acceleration. Do not use if your deployment requires strict adherence to closed-source distribution, since running from source is needed for full functionality. ### Is parlor or Good-GYM more popular on GitHub? parlor has more GitHub stars (1,914 vs 388). Stars measure visibility, not whether either tool fits your constraints. ### Are parlor and Good-GYM open source? Yes - both are open-source projects on GitHub (parlor: Apache-2.0, Good-GYM: MIT). ### Where can I find alternatives to parlor or Good-GYM? GraphCanon lists graph-backed alternatives at [parlor alternatives](/tools/fikrikarim-parlor/alternatives) and [Good-GYM alternatives](/tools/yo-wassup-good-gym/alternatives) ([parlor markdown twin](/tools/fikrikarim-parlor/alternatives.md), [Good-GYM markdown twin](/tools/yo-wassup-good-gym/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/fikrikarim-parlor-vs-yo-wassup-good-gym.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, parlor or Good-GYM? parlor: Very active. Good-GYM: 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 parlor and Good-GYM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [parlor trust report](/tools/fikrikarim-parlor/trust); [Good-GYM trust report](/tools/yo-wassup-good-gym/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fikrikarim-parlor`](/api/graphcanon/graph?tool=fikrikarim-parlor) - 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/_