--- title: "octo vs robocorp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/octo-models-octo-vs-robocorp-robocorp" tools: ["octo-models-octo", "robocorp-robocorp"] --- # octo vs robocorp *GraphCanon updated Sep 20, 2026* ## Verdict Pick octo if octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations; pick robocorp if a Python framework for creating and deploying AI-powered automations. [octo](https://octo-models.github.io/) reports 1.8k GitHub stars, 280 forks, and 96 open issues, last pushed Jul 31, 2024. [robocorp](https://robocorp.com/) has 651 stars, 107 forks, and 11 open issues, last pushed Sep 1, 2026. Figures are from public GitHub metadata via [octo's repository](https://github.com/octo-models/octo) and [robocorp's repository](https://github.com/robocorp/robocorp). | | [octo](/tools/octo-models-octo.md) | [robocorp](/tools/robocorp-robocorp.md) | | --- | --- | --- | | Tagline | Transformer-based robot policy trained on 800k robot trajectories | Create Python AI Actions and Automations, deploy & operate them anywhere | | Stars | 1,778 | 651 | | Forks | 280 | 107 | | Open issues | 96 | 11 | | Language | Python | Python | | Adopt for | Octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations. | A Python framework for creating and deploying AI-powered automations. | | Persona | - | - | | Runtime | - | - | | License | MIT | Open source under Apache-2.0 license. | | Categories | Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [octo](/tools/octo-models-octo.md) | [robocorp](/tools/robocorp-robocorp.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 779d | 5d | | Open issues (now) | 96 | 11 | | Stars delta | +56 (30d) | +8 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Full report | [trust report](/tools/octo-models-octo/trust.md) | [trust report](/tools/robocorp-robocorp/trust.md) | ## Shared compatibility - **Python**: [octo](/tools/octo-models-octo.md) - Python runtime; [robocorp](/tools/robocorp-robocorp.md) - Python runtime ## Decision facts: octo - **Requirements:** Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required. - **Adopt for:** Octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations. ## Decision facts: robocorp - **Pricing:** freemium - Free to use for open-source projects and small teams, with additional enterprise features available. - **Adopt for:** A Python framework for creating and deploying AI-powered automations. - **License detail:** Open source under Apache-2.0 license. ## Choose when ### Choose octo if… - License: octo is MIT, robocorp is Apache-2.0. - Requirements: Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required.. - Tags unique to octo: finetuning, gpu, jax, robotics. - Also covers Model Training. - Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories. ### Choose robocorp if… - License: robocorp is Apache-2.0, octo is MIT. - Pricing: Free to use for open-source projects and small teams, with additional enterprise features available.. - Tags unique to robocorp: ai actions, automation, python. - Also covers Developer Tools. - You are developing actions and automations that specifically need integration with the Robocorp Control Room, including features like Work Items, Vault, and Assets. ## When NOT to use octo - Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets. - Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support. - If your project has strict licensing requirements that do not allow for MIT-licensed software, Octo would not be a suitable choice. ## When NOT to use robocorp - You prefer to have full autonomy over your code's structure beyond what is provided by pre-defined meta-packages such as `robocorp.tasks`, and favor more customizable solutions. - Your automation needs do not benefit from the Control Room integration or specific Robocorp services offered through its extensive suite of libraries. - Your project does not require browser automation with Playwright, but rather another framework for this aspect of your work. ## Common questions ### What is the difference between octo and robocorp? octo: Transformer-based robot policy trained on 800k robot trajectories. robocorp: Create Python AI Actions and Automations, deploy & operate them anywhere. See the comparison table for live GitHub stats and shared categories. ### When should I choose octo over robocorp? Choose octo over robocorp when License: octo is MIT, robocorp is Apache-2.0; Requirements: Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required.; Tags unique to octo: finetuning, gpu, jax, robotics; Also covers Model Training; Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories. ### When should I choose robocorp over octo? Choose robocorp over octo when License: robocorp is Apache-2.0, octo is MIT; Pricing: Free to use for open-source projects and small teams, with additional enterprise features available.; Tags unique to robocorp: ai actions, automation, python; Also covers Developer Tools; You are developing actions and automations that specifically need integration with the Robocorp Control Room, including features like Work Items, Vault, and Assets. ### When should I avoid octo? Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets. Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support. If your project has strict licensing requirements that do not allow for MIT-licensed software, Octo would not be a suitable choice. ### When should I avoid robocorp? You prefer to have full autonomy over your code's structure beyond what is provided by pre-defined meta-packages such as `robocorp.tasks`, and favor more customizable solutions. Your automation needs do not benefit from the Control Room integration or specific Robocorp services offered through its extensive suite of libraries. Your project does not require browser automation with Playwright, but rather another framework for this aspect of your work. ### Is octo or robocorp more popular on GitHub? octo has more GitHub stars (1,778 vs 651). Stars measure visibility, not whether either tool fits your constraints. ### Are octo and robocorp open source? Yes - both are open-source projects on GitHub (octo: MIT, robocorp: Apache-2.0). ### Where can I find alternatives to octo or robocorp? GraphCanon lists graph-backed alternatives at [octo alternatives](/tools/octo-models-octo/alternatives) and [robocorp alternatives](/tools/robocorp-robocorp/alternatives) ([octo markdown twin](/tools/octo-models-octo/alternatives.md), [robocorp markdown twin](/tools/robocorp-robocorp/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/octo-models-octo-vs-robocorp-robocorp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, octo or robocorp? octo: Dormant. robocorp: 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 octo and robocorp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [octo trust report](/tools/octo-models-octo/trust); [robocorp trust report](/tools/robocorp-robocorp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=octo-models-octo`](/api/graphcanon/graph?tool=octo-models-octo) - 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/_