--- title: "octoml-profile vs openpi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/octoml-octoml-profile-vs-physical-intelligence-openpi" tools: ["octoml-octoml-profile", "physical-intelligence-openpi"] --- # octoml-profile vs openpi *GraphCanon updated Sep 30, 2026* ## Verdict Pick octoml-profile if octoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities; pick openpi if openpi is a repository for running AI models with specific GPU requirements for inference and fine-tuning, including LoRA and full fine-tuning modes. [octoml-profile](https://github.com/octoml/octoml-profile) reports 113 GitHub stars, 10 forks, and 0 open issues, last pushed Apr 24, 2023. [openpi](https://github.com/Physical-Intelligence/openpi) has 14k stars, 2.5k forks, and 345 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [octoml-profile's repository](https://github.com/octoml/octoml-profile) and [openpi's repository](https://github.com/Physical-Intelligence/openpi). | | [octoml-profile](/tools/octoml-octoml-profile.md) | [openpi](/tools/physical-intelligence-openpi.md) | | --- | --- | --- | | Tagline | Home for OctoML PyTorch Profiler | Repository for running AI models with GPU requirements specified for inference and fine-tuning. | | Stars | 113 | 13,874 | | Forks | 10 | 2,467 | | Open issues | 0 | 345 | | Language | - | Python | | Adopt for | OctoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities. | openpi is a repository for running AI models with specific GPU requirements for inference and fine-tuning, including LoRA and full fine-tuning modes. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [octoml-profile](/tools/octoml-octoml-profile.md) | [openpi](/tools/physical-intelligence-openpi.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1254d | 24d | | Open issues (now) | 0 | 345 | | Stars delta | 0 (30d) | +776 (30d) | | Open issues delta | 0 (30d) | +29 (30d) | | Full report | [trust report](/tools/octoml-octoml-profile/trust.md) | [trust report](/tools/physical-intelligence-openpi/trust.md) | ## Decision facts: octoml-profile - **Adopt for:** OctoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities. ## Decision facts: openpi - **Requirements:** The repository requires an NVIDIA GPU with at least 8 GB of memory for inference, 22.5 GB for fine-tuning with LoRA, and 70 GB for full fine-tuning. - **Adopt for:** openpi is a repository for running AI models with specific GPU requirements for inference and fine-tuning, including LoRA and full fine-tuning modes. ## Choose when ### Choose octoml-profile if… - Tags unique to octoml-profile: acceleration, performance optimization, profiling, pytorch. - Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments - Leaner open-issue backlog (0). ### Choose openpi if… - Requirements: The repository requires an NVIDIA GPU with at least 8 GB of memory for inference, 22.5 GB for fine-tuning with LoRA, and 70 GB for full fine-tuning.. - Tags unique to openpi: fine-tuning, gpu, inference, lora. - Use openpi when you need to run AI models with precise GPU memory requirements for inference and fine-tuning, particularly with LoRA and full fine-tuning modes. ## When NOT to use octoml-profile - Development for local, offline usage only without remote profiling needs - Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide ## When NOT to use openpi - Avoid using openpi if your project requires multi-node training, as the current training script does not support this feature. - Do not use openpi if you are working on an operating system other than Ubuntu 22.04, as the repository has not been tested with other systems. ## Common questions ### What is the difference between octoml-profile and openpi? octoml-profile: Home for OctoML PyTorch Profiler. openpi: Repository for running AI models with GPU requirements specified for inference and fine-tuning.. See the comparison table for live GitHub stats and shared categories. ### When should I choose octoml-profile over openpi? Choose octoml-profile over openpi when Tags unique to octoml-profile: acceleration, performance optimization, profiling, pytorch; Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments; Leaner open-issue backlog (0). ### When should I choose openpi over octoml-profile? Choose openpi over octoml-profile when Requirements: The repository requires an NVIDIA GPU with at least 8 GB of memory for inference, 22.5 GB for fine-tuning with LoRA, and 70 GB for full fine-tuning.; Tags unique to openpi: fine-tuning, gpu, inference, lora; Use openpi when you need to run AI models with precise GPU memory requirements for inference and fine-tuning, particularly with LoRA and full fine-tuning modes. ### When should I avoid octoml-profile? Development for local, offline usage only without remote profiling needs Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide ### When should I avoid openpi? Avoid using openpi if your project requires multi-node training, as the current training script does not support this feature. Do not use openpi if you are working on an operating system other than Ubuntu 22.04, as the repository has not been tested with other systems. ### Is octoml-profile or openpi more popular on GitHub? openpi has more GitHub stars (13,874 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are octoml-profile and openpi open source? Yes - both are open-source projects on GitHub (octoml-profile: Apache-2.0, openpi: Apache-2.0). ### Where can I find alternatives to octoml-profile or openpi? GraphCanon lists graph-backed alternatives at [octoml-profile alternatives](/tools/octoml-octoml-profile/alternatives) and [openpi alternatives](/tools/physical-intelligence-openpi/alternatives) ([octoml-profile markdown twin](/tools/octoml-octoml-profile/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/octoml-octoml-profile-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, octoml-profile or openpi? octoml-profile: Dormant. 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 octoml-profile and openpi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [octoml-profile trust report](/tools/octoml-octoml-profile/trust); [openpi trust report](/tools/physical-intelligence-openpi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=octoml-octoml-profile`](/api/graphcanon/graph?tool=octoml-octoml-profile) - 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/_