GraphCanon updated 2w · GitHub synced 2w
Decision brief
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.
Good fit when
- 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.
- Prefer this solution if your infrastructure is hosted across various cloud providers or on-premises, due to its flexibility and adaptability regardless of where your computing resources are located.
Avoid when
- 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.
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1252d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 113 low (113 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/onepanelio/onepanel pkg.go.devSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides functionalities for labeling, building, training, tuning, deploying, and automating computer vision tasks running on any cloud or on-premises infrastructure.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 31, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 31, 2026
- Languages
- go
Source: github.language · Jul 31, 2026
Categories
Tags
README
For agents
This page has a .md twin and JSON over the API.