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Comparison

open-r1 vs aikit

Verdict

Pick open-r1 if open-R1 is an open-source effort to replicate DeepSeek-R1's models and training pipelines involving model distillation, RL pipeline replication, and multi-stage training; 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-r1 alternatives · aikit alternatives

GraphCanon updated today

open-r1 logo

open-r1

huggingface/open-r1

★ 26kpushed Apr 2, 2026
vs
aikit logo

aikit

kaito-project/aikit

★ 533pushed Jul 11, 2026

Trust & integrity

Signalopen-r1aikit
Maintenance
Slowing (100d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of today · none
open-r1 trust reportaikit trust reportTrust methodology

Tagline

open-r1
Fully open reproduction of DeepSeek-R1
aikit
Fine-tune, build, and deploy open-source LLMs easily!

Stars

open-r1
26k
aikit
533

Forks

open-r1
2.4k
aikit
57

Open issues

open-r1
340
aikit
41

Language

open-r1
Python
aikit
Go

Adopt for

open-r1
Open-R1 is an open-source effort to replicate DeepSeek-R1's models and training pipelines involving model distillation, RL pipeline replication, and multi-stage training.
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-r1
-
aikit
-

Runtime

open-r1
-
aikit
-

License

open-r1
The project is licensed under Apache-2.0, providing a permissive license that allows for free use, modification, and distribution.
aikit
MIT

Last pushed

open-r1
Apr 2, 2026
aikit
Jul 11, 2026

Categories

open-r1
Inference & Serving, Model Training
aikit
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

open-r1
Slowing (36%)
aikit
Very active (96%)

Days since push

open-r1
100d
aikit
0d

Open issues (now)

open-r1
340
aikit
41

Full report

open-r1
Trust report
aikit
Trust report

Choose open-r1 if…

  • open-r1 is primarily Python; aikit is Go.
  • License: open-r1 is Apache-2.0, aikit is MIT.
  • Requirements: Min 8 GB RAM; Installation requires CUDA version 12.4 and PyTorch v2.6.0, with specific dependencies like vLLM and FlashAttention that are critical..
  • Tags unique to open-r1: cuda, deepseek-r1, flashattention, model distillation.
  • Use Open-R1 when you need a detailed understanding of how DeepSeek-R1 operates, considering the project closely mirrors its architecture and processes.

When NOT to use open-r1

  • Avoid Open-R1 if your hardware does not support CUDA 12.4 or cannot run PyTorch `v2.6.0`, as this may lead to errors.
  • Do not use it if the need for rapid experimentation outweighs the value of detailed replication, since the multi-stage training and datasets curation process can be time-consuming.
GitHubDetails

Choose aikit if…

  • aikit is primarily Go; open-r1 is Python.
  • License: aikit is MIT, open-r1 is Apache-2.0.
  • Tags unique to aikit: ai, buildkit, chatgpt, docker.
  • Also covers LLM Frameworks.
  • 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-r1 trust report →aikit trust report →Inference & Serving category →Model Training category →LLM Frameworks 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-r1 26k · aikit 533 (synced Jul 12, 2026).

Common questions

What is the difference between open-r1 and aikit?
open-r1: Fully open reproduction of DeepSeek-R1. 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-r1 over aikit?
Choose open-r1 over aikit when open-r1 is primarily Python; aikit is Go; License: open-r1 is Apache-2.0, aikit is MIT; Requirements: Min 8 GB RAM; Installation requires CUDA version 12.4 and PyTorch v2.6.0, with specific dependencies like vLLM and FlashAttention that are critical.; Tags unique to open-r1: cuda, deepseek-r1, flashattention, model distillation; Use Open-R1 when you need a detailed understanding of how DeepSeek-R1 operates, considering the project closely mirrors its architecture and processes.
When should I choose aikit over open-r1?
Choose aikit over open-r1 when aikit is primarily Go; open-r1 is Python; License: aikit is MIT, open-r1 is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers LLM Frameworks; 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-r1?
Avoid Open-R1 if your hardware does not support CUDA 12.4 or cannot run PyTorch v2.6.0, as this may lead to errors. Do not use it if the need for rapid experimentation outweighs the value of detailed replication, since the multi-stage training and datasets curation process can be time-consuming.
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-r1 or aikit more popular on GitHub?
open-r1 has more GitHub stars (26,401 vs 533). Stars measure visibility, not whether either tool fits your constraints.
Are open-r1 and aikit open source?
Yes - both are open-source projects on GitHub (open-r1: Apache-2.0, aikit: MIT).
Where can I find alternatives to open-r1 or aikit?
GraphCanon lists graph-backed alternatives at open-r1 alternatives and aikit alternatives (open-r1 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-r1 or aikit?
open-r1: Slowing. 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-r1 and aikit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-r1 trust report; aikit trust report.