--- title: "gpt-home vs py-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/judahpaul16-gpt-home-vs-szczyglis-dev-py-gpt" tools: ["judahpaul16-gpt-home", "szczyglis-dev-py-gpt"] --- # gpt-home vs py-gpt *GraphCanon updated Sep 20, 2026* ## Verdict Pick gpt-home if gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings; 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. [gpt-home](https://hub.docker.com/r/judahpaul/gpt-home) reports 649 GitHub stars, 68 forks, and 0 open issues, last pushed Sep 13, 2026. [py-gpt](https://pygpt.net) has 1.9k stars, 344 forks, and 63 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [gpt-home's repository](https://github.com/judahpaul16/gpt-home) and [py-gpt's repository](https://github.com/szczyglis-dev/py-gpt). | | [gpt-home](/tools/judahpaul16-gpt-home.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Tagline | Create personalized smart home assistants with ChatGPT on Raspberry Pi | Desktop AI Assistant powered by multiple LLMs and various functionalities | | Stars | 649 | 1,929 | | Forks | 68 | 344 | | Open issues | 0 | 63 | | Language | Python | Python | | Adopt for | gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings. | 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 | GPL-3.0 | Other | | Categories | AI Agents, Model Training | 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._ | | [gpt-home](/tools/judahpaul16-gpt-home.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 0 | 63 | | Stars delta | +5 (30d) | +49 (30d) | | Open issues delta | 0 (30d) | +9 (30d) | | Full report | [trust report](/tools/judahpaul16-gpt-home/trust.md) | [trust report](/tools/szczyglis-dev-py-gpt/trust.md) | ## Decision facts: gpt-home - **Adopt for:** gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings. ## 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 gpt-home if… - License: gpt-home is GPL-3.0, py-gpt is Other. - Tags unique to gpt-home: ai, automation, docker, fastapi. - gpt-home ships Docker support for self-hosted deployment. - If you need high customization in your smart home assistant capabilities, such as integrating unique voice commands or automations that fit your specific home environment. ### Choose py-gpt if… - License: py-gpt is Other, gpt-home is GPL-3.0. - 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 Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Speech & Audio. - You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ## When NOT to use gpt-home - If rapid deployment and immediate functionality are prioritized over customization. The DIY nature requires technical skills and time investment. - In scenarios preferring commercial-grade reliability and support, where maintaining the setup can be more demanding with self-made systems. ## 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 gpt-home and py-gpt? gpt-home: Create personalized smart home assistants with ChatGPT on Raspberry Pi. 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 gpt-home over py-gpt? Choose gpt-home over py-gpt when License: gpt-home is GPL-3.0, py-gpt is Other; Tags unique to gpt-home: ai, automation, docker, fastapi; gpt-home ships Docker support for self-hosted deployment; If you need high customization in your smart home assistant capabilities, such as integrating unique voice commands or automations that fit your specific home environment. ### When should I choose py-gpt over gpt-home? Choose py-gpt over gpt-home when License: py-gpt is Other, gpt-home is GPL-3.0; 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 Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Speech & Audio; You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ### When should I avoid gpt-home? If rapid deployment and immediate functionality are prioritized over customization. The DIY nature requires technical skills and time investment. In scenarios preferring commercial-grade reliability and support, where maintaining the setup can be more demanding with self-made systems. ### 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 gpt-home or py-gpt more popular on GitHub? py-gpt has more GitHub stars (1,929 vs 649). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt-home and py-gpt open source? Yes - both are open-source projects on GitHub (gpt-home: GPL-3.0, py-gpt: Other). ### Where can I find alternatives to gpt-home or py-gpt? GraphCanon lists graph-backed alternatives at [gpt-home alternatives](/tools/judahpaul16-gpt-home/alternatives) and [py-gpt alternatives](/tools/szczyglis-dev-py-gpt/alternatives) ([gpt-home markdown twin](/tools/judahpaul16-gpt-home/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/judahpaul16-gpt-home-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, gpt-home or py-gpt? gpt-home: 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 gpt-home and py-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt-home trust report](/tools/judahpaul16-gpt-home/trust); [py-gpt trust report](/tools/szczyglis-dev-py-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=judahpaul16-gpt-home`](/api/graphcanon/graph?tool=judahpaul16-gpt-home) - 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/_