--- title: "onepanel vs inference" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/onepanelio-onepanel-vs-roboflow-inference" tools: ["onepanelio-onepanel", "roboflow-inference"] --- # onepanel vs inference *GraphCanon updated Sep 20, 2026* ## Verdict Pick onepanel if onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license; pick inference if inference by Roboflow specializes in deploying computer vision models on edge devices and industrial hardware like Flowbox based on NVIDIA Jetson. [onepanel](https://docs.onepanel.ai/) reports 731 GitHub stars, 73 forks, and 102 open issues, last pushed Feb 25, 2023. [inference](https://inference.roboflow.com) has 2.5k stars, 319 forks, and 172 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [onepanel's repository](https://github.com/onepanelio/onepanel) and [inference's repository](https://github.com/roboflow/inference). | | [onepanel](/tools/onepanelio-onepanel.md) | [inference](/tools/roboflow-inference.md) | | --- | --- | --- | | Tagline | The open source, end-to-end computer vision platform. | Turn any computer or edge device into a command center for your computer vision projects. | | Stars | 731 | 2,456 | | Forks | 73 | 319 | | Open issues | 102 | 172 | | Language | Go | Python | | Adopt for | Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. | Inference by Roboflow specializes in deploying computer vision models on edge devices and industrial hardware like Flowbox based on NVIDIA Jetson. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Computer Vision, Inference & Serving, Model Training | Computer Vision, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [onepanel](/tools/onepanelio-onepanel.md) | [inference](/tools/roboflow-inference.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1283d | 0d | | Open issues (now) | 102 | 172 | | Stars delta | +1 (30d) | +41 (30d) | | Open issues delta | 0 (30d) | +26 (30d) | | Full report | [trust report](/tools/onepanelio-onepanel/trust.md) | [trust report](/tools/roboflow-inference/trust.md) | ## Decision facts: onepanel - **Adopt for:** Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. ## Decision facts: inference - **Adopt for:** Inference by Roboflow specializes in deploying computer vision models on edge devices and industrial hardware like Flowbox based on NVIDIA Jetson. ## Choose when ### Choose onepanel if… - onepanel is primarily Go; inference is Python. - License: onepanel is Apache-2.0, inference is Other. - Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning. - Also covers Model Training. - onepanel ships Docker support for self-hosted deployment. - When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows. ### Choose inference if… - inference is primarily Python; onepanel is Go. - License: inference is Other, onepanel is Apache-2.0. - Tags unique to inference: agents, classification, deployment, docker. - When you need ruggedized CV solutions for manufacturing or logistics that support secure network protocols such as OPC or MQTT, ## When NOT to use onepanel - Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. - Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages. ## When NOT to use inference - If your project does not require support for industrial hardware like Flowbox based on NVIDIA Jetson, - When secure network deployment is unnecessary or when standard deployment options suffice without needing integration with machine vision cameras over GigE, ## Common questions ### What is the difference between onepanel and inference? onepanel: The open source, end-to-end computer vision platform.. inference: Turn any computer or edge device into a command center for your computer vision projects.. See the comparison table for live GitHub stats and shared categories. ### When should I choose onepanel over inference? Choose onepanel over inference when onepanel is primarily Go; inference is Python; License: onepanel is Apache-2.0, inference is Other; Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning; Also covers Model Training; onepanel ships Docker support for self-hosted deployment; When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows. ### When should I choose inference over onepanel? Choose inference over onepanel when inference is primarily Python; onepanel is Go; License: inference is Other, onepanel is Apache-2.0; Tags unique to inference: agents, classification, deployment, docker; When you need ruggedized CV solutions for manufacturing or logistics that support secure network protocols such as OPC or MQTT,. ### When should I avoid onepanel? Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages. ### When should I avoid inference? If your project does not require support for industrial hardware like Flowbox based on NVIDIA Jetson, When secure network deployment is unnecessary or when standard deployment options suffice without needing integration with machine vision cameras over GigE, ### Is onepanel or inference more popular on GitHub? inference has more GitHub stars (2,456 vs 731). Stars measure visibility, not whether either tool fits your constraints. ### Are onepanel and inference open source? Yes - both are open-source projects on GitHub (onepanel: Apache-2.0, inference: Other). ### Where can I find alternatives to onepanel or inference? GraphCanon lists graph-backed alternatives at [onepanel alternatives](/tools/onepanelio-onepanel/alternatives) and [inference alternatives](/tools/roboflow-inference/alternatives) ([onepanel markdown twin](/tools/onepanelio-onepanel/alternatives.md), [inference markdown twin](/tools/roboflow-inference/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/onepanelio-onepanel-vs-roboflow-inference.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, onepanel or inference? onepanel: Dormant. inference: 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 onepanel and inference? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [onepanel trust report](/tools/onepanelio-onepanel/trust); [inference trust report](/tools/roboflow-inference/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=onepanelio-onepanel`](/api/graphcanon/graph?tool=onepanelio-onepanel) - 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/_