--- title: "awesome-chatgpt vs openpi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanloop-awesome-chatgpt-vs-physical-intelligence-openpi" tools: ["humanloop-awesome-chatgpt", "physical-intelligence-openpi"] --- # awesome-chatgpt vs openpi *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-chatgpt if awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions; pick openpi if openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and. [awesome-chatgpt](https://github.com/humanloop/awesome-chatgpt) reports 8.2k GitHub stars, 551 forks, and 141 open issues, last pushed Oct 15, 2025. [openpi](https://github.com/Physical-Intelligence/openpi) has 13k stars, 2.2k forks, and 312 open issues, last pushed Jun 16, 2026. Figures are from public GitHub metadata via [awesome-chatgpt's repository](https://github.com/humanloop/awesome-chatgpt) and [openpi's repository](https://github.com/Physical-Intelligence/openpi). | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [openpi](/tools/physical-intelligence-openpi.md) | | --- | --- | --- | | Tagline | Curated list of resources for ChatGPT and GPT-3 from OpenAI | Repository for running AI models with GPU requirements specified. | | Stars | 8,209 | 12,742 | | Forks | 551 | 2,187 | | Open issues | 141 | 312 | | Language | - | Python | | Adopt for | Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions | openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and hardware configurations. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Model Training, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [openpi](/tools/physical-intelligence-openpi.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 268d | 25d | | Open issues (now) | 141 | 312 | | Full report | [trust report](/tools/humanloop-awesome-chatgpt/trust.md) | [trust report](/tools/physical-intelligence-openpi/trust.md) | ## Decision facts: awesome-chatgpt - **Adopt for:** Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions ## Decision facts: openpi - **Adopt for:** openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and hardware configurations. ## Choose when ### Choose awesome-chatgpt if… - Tags unique to awesome-chatgpt: gpt-3, unofficial-api, cross-platform-access, chrome-extension. - Also covers Developer Tools. - You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### Choose openpi if… - Tags unique to openpi: ubuntu 22.04, fine-tuning, lora, python. - Also covers Model Training. - When you have an NVIDIA GPU with at least 8 GB of VRAM for inference or at least 22.5 GB to fine-tune models using LoRA (Low-Rank Adaptation) on a single GPU. ## When NOT to use awesome-chatgpt - If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. - You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ## When NOT to use openpi - When your project is not compatible with Ubuntu 22.04 or if you do not have access to a supported GPU configuration. - If you need to support multi-node training, as this capability has yet to be implemented in the current version of openpi. ## Common questions ### What is the difference between awesome-chatgpt and openpi? awesome-chatgpt: Curated list of resources for ChatGPT and GPT-3 from OpenAI. openpi: Repository for running AI models with GPU requirements specified.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-chatgpt over openpi? Choose awesome-chatgpt over openpi when Tags unique to awesome-chatgpt: gpt-3, unofficial-api, cross-platform-access, chrome-extension; Also covers Developer Tools; You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### When should I choose openpi over awesome-chatgpt? Choose openpi over awesome-chatgpt when Tags unique to openpi: ubuntu 22.04, fine-tuning, lora, python; Also covers Model Training; When you have an NVIDIA GPU with at least 8 GB of VRAM for inference or at least 22.5 GB to fine-tune models using LoRA (Low-Rank Adaptation) on a single GPU. ### When should I avoid awesome-chatgpt? If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ### When should I avoid openpi? When your project is not compatible with Ubuntu 22.04 or if you do not have access to a supported GPU configuration. If you need to support multi-node training, as this capability has yet to be implemented in the current version of openpi. ### Is awesome-chatgpt or openpi more popular on GitHub? openpi has more GitHub stars (12,742 vs 8,209). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-chatgpt and openpi open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-chatgpt or openpi? GraphCanon lists graph-backed alternatives at [awesome-chatgpt alternatives](/tools/humanloop-awesome-chatgpt/alternatives) and [openpi alternatives](/tools/physical-intelligence-openpi/alternatives) ([awesome-chatgpt markdown twin](/tools/humanloop-awesome-chatgpt/alternatives.md), [openpi markdown twin](/tools/physical-intelligence-openpi/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/humanloop-awesome-chatgpt-vs-physical-intelligence-openpi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-chatgpt or openpi? awesome-chatgpt: Slowing. openpi: 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 awesome-chatgpt and openpi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-chatgpt trust report](/tools/humanloop-awesome-chatgpt/trust); [openpi trust report](/tools/physical-intelligence-openpi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=humanloop-awesome-chatgpt`](/api/graphcanon/graph?tool=humanloop-awesome-chatgpt) - 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/_