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Comparison

open-r1 vs openpi

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 openpi if openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and hardware configurations.

Markdown twin · open-r1 alternatives · openpi alternatives

GraphCanon updated today

open-r1 logo

open-r1

huggingface/open-r1

★ 26kpushed Apr 2, 2026
vs
openpi logo

openpi

Physical-Intelligence/openpi

★ 13kpushed Jun 16, 2026

Trust & integrity

Signalopen-r1openpi
Maintenance
Slowing (100d since push)
As of today · github_public_v1
Active (25d 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 today · none
No lockfile
As of today · none
open-r1 trust reportopenpi trust reportTrust methodology

Tagline

open-r1
Fully open reproduction of DeepSeek-R1
openpi
Repository for running AI models with GPU requirements specified.

Stars

open-r1
26k
openpi
13k

Forks

open-r1
2.4k
openpi
2.2k

Open issues

open-r1
340
openpi
312

Language

open-r1
Python
openpi
Python

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.
openpi
openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and hardware configurations.

Persona

open-r1
-
openpi
-

Runtime

open-r1
-
openpi
-

License

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

Last pushed

open-r1
Apr 2, 2026
openpi
Jun 16, 2026

Categories

open-r1
Model Training, Inference & Serving
openpi
Model Training, Inference & Serving

Trust and health

Maintenance

open-r1
Slowing (36%)
openpi
Active (82%)

Days since push

open-r1
100d
openpi
25d

Open issues (now)

open-r1
340
openpi
312

Full report

open-r1
Trust report
openpi
Trust report

Choose open-r1 if…

  • 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: deepseek-r1, rl pipeline, vllm, cuda.
  • 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 openpi if…

  • Tags unique to openpi: ubuntu 22.04, fine-tuning, lora, model parallelism.
  • When you have an NVIDIA GPU with at least 8 GB of VRAM for inference or at least 22.5 GB to fine-tune models using LoRA (Low-Rank Adaptation) on a single GPU.
  • More recently updated (last pushed Jun 16, 2026).

When NOT to use openpi

  • When your project is not compatible with Ubuntu 22.04 or if you do not have access to a supported GPU configuration.
  • If you need to support multi-node training, as this capability has yet to be implemented in the current version of openpi.
GitHubDetails

Explore

open-r1 trust report →openpi trust report →Model Training category →Inference & Serving 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 · openpi 13k (synced Jul 12, 2026).

Common questions

What is the difference between open-r1 and openpi?
open-r1: Fully open reproduction of DeepSeek-R1. openpi: Repository for running AI models with GPU requirements specified.. See the comparison table for live GitHub stats and shared categories.
When should I choose open-r1 over openpi?
Choose open-r1 over openpi when 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: deepseek-r1, rl pipeline, vllm, cuda; 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 openpi over open-r1?
Choose openpi over open-r1 when Tags unique to openpi: ubuntu 22.04, fine-tuning, lora, model parallelism; When you have an NVIDIA GPU with at least 8 GB of VRAM for inference or at least 22.5 GB to fine-tune models using LoRA (Low-Rank Adaptation) on a single GPU; More recently updated (last pushed Jun 16, 2026).
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 openpi?
When your project is not compatible with Ubuntu 22.04 or if you do not have access to a supported GPU configuration. If you need to support multi-node training, as this capability has yet to be implemented in the current version of openpi.
Is open-r1 or openpi more popular on GitHub?
open-r1 has more GitHub stars (26,401 vs 12,742). Stars measure visibility, not whether either tool fits your constraints.
Are open-r1 and openpi open source?
Yes - both are open-source projects on GitHub (open-r1: Apache-2.0, openpi: Apache-2.0).
Where can I find alternatives to open-r1 or openpi?
GraphCanon lists graph-backed alternatives at open-r1 alternatives and openpi alternatives (open-r1 markdown twin, openpi 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 openpi?
open-r1: Slowing. openpi: 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 openpi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-r1 trust report; openpi trust report.