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Comparison

open-llms vs aikit

Verdict

Pick open-llms if critical Facts for 'open-llms' Tool Usage; 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 3d

open-llms logo

open-llms

eugeneyan/open-llms

★ 13kpushed Feb 13, 2025
vs
aikit logo

aikit

kaito-project/aikit

★ 534pushed Jul 20, 2026

Trust & integrity

Signalopen-llmsaikit
Maintenance
Dormant (549d since push)
As of 3d · github_public_v1
Very active (4d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 3d · 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
No lockfile (source not queried)
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
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
534

Forks

open-llms
985
aikit
57

Open issues

open-llms
11
aikit
43

Language

open-llms
-
aikit
Go

Adopt for

open-llms
Critical Facts for 'open-llms' Tool Usage
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 the permissive Apache-2.0 license; however, it aggregates data about various LLMs that may have differing licensing conditions including but not limited to the
aikit
MIT

Last pushed

open-llms
Feb 13, 2025
aikit
Jul 20, 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
549d
aikit
4d

Open issues (now)

open-llms
11
aikit
43

Stars delta

open-llms
+18 (30d)
aikit
Unknown

Open issues delta

open-llms
-2 (30d)
aikit
Unknown

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: Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements..
  • Tags unique to open-llms: commercial, large language models, llm, llms.
  • When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.

When NOT to use open-llms

  • If you require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0.
  • For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4
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 534 (synced Aug 17, 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: Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements.; Tags unique to open-llms: commercial, large language models, llm, llms; When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.
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 require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0. For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4
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 (12,849 vs 534). 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.

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