GraphCanon
Home/Compare/open-llms vs aikit

Comparison

open-llms vs aikit

Verdict

Pick open-llms if open-llms is a curated list of open-source large language models (LLMs) that are licensed for commercial use, providing details such as release date, parameters, context length, and licensing terms; 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.

Markdown twin · open-llms alternatives · aikit alternatives

GraphCanon updated Sep 20, 2026

11views this month

open-llms logo

open-llms

eugeneyan/open-llms

★ 13kpushed Feb 13, 2025
vs
aikit logo

aikit

kaito-project/aikit

★ 539pushed Sep 18, 2026

Trust & integrity

Signalopen-llmsaikit
Maintenance
Dormant (582d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 19, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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
open-llms trust reportaikit trust reportTrust methodology

Tagline

open-llms
A list of open LLMs available for commercial use
aikit
Fine-tune, build, and deploy open-source LLMs easily!

Stars

open-llms
13k
aikit
539

Forks

open-llms
988
aikit
57

Open issues

open-llms
10
aikit
37

Language

open-llms
-
aikit
Go

Adopt for

open-llms
open-llms is a curated list of open-source large language models (LLMs) that are licensed for commercial use, providing details such as release date, parameters, context length, and licensing terms.
aikit
Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.

Persona

open-llms
-
aikit
-

Runtime

open-llms
-
aikit
-

License

open-llms
The repository itself is licensed under Apache-2.0, but the models listed have various licenses, including Apache 2.0, MIT, and OpenRAIL-M.
aikit
MIT

Last pushed

open-llms
Feb 13, 2025
aikit
Sep 18, 2026

Categories

open-llms
LLM Frameworks
aikit
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

open-llms
Dormant (18%)
aikit
Very active (96%)

Days since push

open-llms
582d
aikit
0d

Open issues (now)

open-llms
10
aikit
37

Stars delta

open-llms
+27 (30d)
aikit
+5 (30d)

Open issues delta

open-llms
-1 (30d)
aikit
-6 (30d)

Owner type

open-llms
User
aikit
Organization

Full report

open-llms
Trust report
aikit
Trust report

Choose open-llms if…

  • License: open-llms is Apache-2.0, aikit is MIT.
  • Pricing: The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms..
  • Requirements: Min 8 GB RAM; The specific requirements for running the models listed in the repository vary and should be checked individually..
  • Tags unique to open-llms: commercial, large-language-models, llm, llms.
  • When you need a comprehensive list of open-source LLMs that are licensed for commercial use, including details like release date, parameters, and context length.

When NOT to use open-llms

  • If you need models that are not open-source or are not licensed for commercial use, as open-llms exclusively lists models that are both open-source and commercially usable.
  • When you require real-time updates or the latest models not yet included in the repository, as the list may not be updated as frequently as other sources.
  • If you are looking for models with specific features not covered in the repository, such as fine-tuned models for particular tasks, as the repository focuses on general model information.
GitHubDetails

Choose aikit if…

  • License: aikit is MIT, open-llms is Apache-2.0.
  • Tags unique to aikit: ai, buildkit, chatgpt, docker.
  • Also covers Inference & Serving, Model Training.
  • aikit ships Docker support for self-hosted deployment.
  • - 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.
GitHubDetails

Explore

open-llms trust report →aikit trust report →LLM Frameworks category →Inference & Serving category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: open-llms 13k · aikit 539 (synced Sep 20, 2026).

Common questions

What is the difference between open-llms and aikit?
open-llms: A list of open LLMs available for commercial use. aikit: Fine-tune, build, and deploy open-source LLMs easily!. See the comparison table for live GitHub stats and shared categories.
When should I choose open-llms over aikit?
Choose open-llms over aikit when License: open-llms is Apache-2.0, aikit is MIT; Pricing: The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms.; Requirements: Min 8 GB RAM; The specific requirements for running the models listed in the repository vary and should be checked individually.; Tags unique to open-llms: commercial, large-language-models, llm, llms; When you need a comprehensive list of open-source LLMs that are licensed for commercial use, including details like release date, parameters, and context length.
When should I choose aikit over open-llms?
Choose aikit over open-llms when License: aikit is MIT, open-llms is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers Inference & Serving, Model Training; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model.
When should I avoid open-llms?
If you need models that are not open-source or are not licensed for commercial use, as open-llms exclusively lists models that are both open-source and commercially usable. When you require real-time updates or the latest models not yet included in the repository, as the list may not be updated as frequently as other sources. If you are looking for models with specific features not covered in the repository, such as fine-tuned models for particular tasks, as the repository focuses on general model information.
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.
Is open-llms or aikit more popular on GitHub?
open-llms has more GitHub stars (12,876 vs 539). Stars measure visibility, not whether either tool fits your constraints.
Are open-llms and aikit open source?
Yes - both are open-source projects on GitHub (open-llms: Apache-2.0, aikit: MIT).
Where can I find alternatives to open-llms or aikit?
GraphCanon lists graph-backed alternatives at open-llms alternatives and aikit alternatives (open-llms markdown twin, aikit 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, open-llms or aikit?
open-llms: Dormant. aikit: 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 open-llms and aikit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-llms trust report; aikit trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.