Comparison
aikit vs onepanel
Verdict
Pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies; 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.
Markdown twin · aikit alternatives · onepanel alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | aikit | onepanel |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Dormant (1252d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- aikit
- Fine-tune, build, and deploy open-source LLMs easily!
- onepanel
- The open source, end-to-end computer vision platform.
Stars
- aikit
- 537
- onepanel
- 730
Forks
- aikit
- 57
- onepanel
- 73
Open issues
- aikit
- 40
- onepanel
- 102
Language
- aikit
- Go
- onepanel
- Go
Adopt for
- aikit
- Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
- onepanel
- 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.
Persona
- aikit
- -
- onepanel
- -
Runtime
- aikit
- -
- onepanel
- -
License
- aikit
- MIT
- onepanel
- Apache-2.0
Last pushed
- aikit
- Aug 24, 2026
- onepanel
- Feb 25, 2023
Categories
- aikit
- Inference & Serving, LLM Frameworks, Model Training
- onepanel
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- aikit
- Very active (96%)
- onepanel
- Dormant (18%)
Days since push
- aikit
- 0d
- onepanel
- 1252d
Open issues (now)
- aikit
- 40
- onepanel
- 102
Stars delta
- aikit
- +3 (30d)
- onepanel
- Unknown
Open issues delta
- aikit
- -3 (30d)
- onepanel
- Unknown
OSV dependency advisories
- aikit
- No lockfile (source not queried)
- onepanel
- Published findings
Full report
- aikit
- Trust report
- onepanel
- Trust report
Choose aikit if…
- License: aikit is MIT, onepanel is Apache-2.0.
- Tags unique to aikit: ai, buildkit, chatgpt, docker.
- Also covers LLM Frameworks.
- - You need a flexible solution specifically built using Go and prefer its concurrency model.
When NOT to use aikit
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
- - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
Choose onepanel if…
- License: onepanel is Apache-2.0, aikit is MIT.
- Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning.
- Also covers Computer Vision.
- 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kaito-project/aikit) · observed Aug 24, 2026
- GitHub forks (kaito-project/aikit) · observed Aug 24, 2026
- Last push (kaito-project/aikit) · observed Aug 24, 2026
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (onepanelio/onepanel) · observed Jul 31, 2026
- GitHub forks (onepanelio/onepanel) · observed Jul 31, 2026
- Last push (onepanelio/onepanel) · observed Feb 25, 2023
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aikit 537 · onepanel 730 (synced Aug 24, 2026).
Common questions
- What is the difference between aikit and onepanel?
- aikit: Fine-tune, build, and deploy open-source LLMs easily!. onepanel: The open source, end-to-end computer vision platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose aikit over onepanel?
- Choose aikit over onepanel when License: aikit is MIT, onepanel is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers LLM Frameworks; - You need a flexible solution specifically built using Go and prefer its concurrency model.
- When should I choose onepanel over aikit?
- Choose onepanel over aikit when License: onepanel is Apache-2.0, aikit is MIT; Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning; Also covers Computer Vision; 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 avoid aikit?
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
- 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.
- Is aikit or onepanel more popular on GitHub?
- onepanel has more GitHub stars (730 vs 537). Stars measure visibility, not whether either tool fits your constraints.
- Are aikit and onepanel open source?
- Yes - both are open-source projects on GitHub (aikit: MIT, onepanel: Apache-2.0).
- Where can I find alternatives to aikit or onepanel?
- GraphCanon lists graph-backed alternatives at aikit alternatives and onepanel alternatives (aikit markdown twin, onepanel markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, aikit or onepanel?
- aikit: Very active. onepanel: Dormant. 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 aikit and onepanel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aikit trust report; onepanel trust report.