--- title: "parlor vs py-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fikrikarim-parlor-vs-szczyglis-dev-py-gpt" tools: ["fikrikarim-parlor", "szczyglis-dev-py-gpt"] --- # parlor vs py-gpt *GraphCanon updated Aug 14, 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 py-gpt if pyGPT is a versatile desktop AI assistant that integrates multiple large language models and offers extensive capabilities ranging from chat support to speech synthesis and image generation. [parlor](https://github.com/fikrikarim/parlor) reports 1.9k GitHub stars, 245 forks, and 9 open issues, last pushed Jul 29, 2026. [py-gpt](https://pygpt.net) has 1.9k stars, 334 forks, and 54 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [parlor's repository](https://github.com/fikrikarim/parlor) and [py-gpt's repository](https://github.com/szczyglis-dev/py-gpt). | | [parlor](/tools/fikrikarim-parlor.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Tagline | On-device real-time multimodal AI for voice and vision | Desktop AI Assistant powered by multiple LLMs and various functionalities | | Stars | 1,914 | 1,880 | | Forks | 245 | 334 | | Open issues | 9 | 54 | | 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. | PyGPT is a versatile desktop AI assistant that integrates multiple large language models and offers extensive capabilities ranging from chat support to speech synthesis and image generation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Computer Vision, Inference & Serving, Speech & Audio | AI Agents, Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [parlor](/tools/fikrikarim-parlor.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Open issues (now) | 9 | 54 | | Full report | [trust report](/tools/fikrikarim-parlor/trust.md) | [trust report](/tools/szczyglis-dev-py-gpt/trust.md) | ## Shared compatibility - **Python**: [parlor](/tools/fikrikarim-parlor.md) - Python runtime; [py-gpt](/tools/szczyglis-dev-py-gpt.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: py-gpt - **Requirements:** PyGPT can operate with a local model (Llama3) without an internet connection or OpenAI API key.; Operating PyGPT may be computationally intensive based on the specific plugins and integrations used. - **Adopt for:** PyGPT is a versatile desktop AI assistant that integrates multiple large language models and offers extensive capabilities ranging from chat support to speech synthesis and image generation. ## Choose when ### Choose parlor if… - parlor is primarily HTML; py-gpt is Python. - License: parlor is Apache-2.0, py-gpt is Other. - Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm. - Need to run complex, interactive AI locally without relying on cloud services. ### Choose py-gpt if… - py-gpt is primarily Python; parlor is HTML. - License: py-gpt is Other, parlor is Apache-2.0. - Requirements: PyGPT can operate with a local model (Llama3) without an internet connection or OpenAI API key.; Operating PyGPT may be computationally intensive based on the specific plugins and integrations used.. - Tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, custom-plugins. - Also covers AI Agents, Data & Retrieval, Evaluation & Observability, Model Training. - You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ## 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 py-gpt - Your environment lacks consistent internet connectivity since PyGPT relies on it for API connections with some of its models like GPT-5, GPT-4. - The project requires a proprietary model that is not supported or easily integrated without significant development efforts into PyGPT's framework. - You cannot obtain an OpenAI API key, which is needed to utilize certain language models like Claude and Gemini included in the tool. ## Common questions ### What is the difference between parlor and py-gpt? parlor: On-device real-time multimodal AI for voice and vision. py-gpt: Desktop AI Assistant powered by multiple LLMs and various functionalities. See the comparison table for live GitHub stats and shared categories. ### When should I choose parlor over py-gpt? Choose parlor over py-gpt when parlor is primarily HTML; py-gpt is Python; License: parlor is Apache-2.0, py-gpt is Other; Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm; Need to run complex, interactive AI locally without relying on cloud services. ### When should I choose py-gpt over parlor? Choose py-gpt over parlor when py-gpt is primarily Python; parlor is HTML; License: py-gpt is Other, parlor is Apache-2.0; Requirements: PyGPT can operate with a local model (Llama3) without an internet connection or OpenAI API key.; Operating PyGPT may be computationally intensive based on the specific plugins and integrations used.; Tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, custom-plugins; Also covers AI Agents, Data & Retrieval, Evaluation & Observability, Model Training; You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ### 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 py-gpt? Your environment lacks consistent internet connectivity since PyGPT relies on it for API connections with some of its models like GPT-5, GPT-4. The project requires a proprietary model that is not supported or easily integrated without significant development efforts into PyGPT's framework. You cannot obtain an OpenAI API key, which is needed to utilize certain language models like Claude and Gemini included in the tool. ### Is parlor or py-gpt more popular on GitHub? parlor has more GitHub stars (1,914 vs 1,880). Stars measure visibility, not whether either tool fits your constraints. ### Are parlor and py-gpt open source? Yes - both are open-source projects on GitHub (parlor: Apache-2.0, py-gpt: Other). ### Where can I find alternatives to parlor or py-gpt? GraphCanon lists graph-backed alternatives at [parlor alternatives](/tools/fikrikarim-parlor/alternatives) and [py-gpt alternatives](/tools/szczyglis-dev-py-gpt/alternatives) ([parlor markdown twin](/tools/fikrikarim-parlor/alternatives.md), [py-gpt markdown twin](/tools/szczyglis-dev-py-gpt/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-szczyglis-dev-py-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, parlor or py-gpt? parlor: Very active. py-gpt: 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 parlor and py-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [parlor trust report](/tools/fikrikarim-parlor/trust); [py-gpt trust report](/tools/szczyglis-dev-py-gpt/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/_