Comparison
openpi vs chipper
Verdict
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; pick chipper if chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation.
Markdown twin · openpi alternatives · chipper alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | openpi | chipper |
|---|---|---|
| Maintenance | Steady (46d since push) As of 2w · github_public_v1 | Steady (66d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal 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 |
Tagline
- openpi
- Repository for running AI models with GPU requirements specified.
- chipper
- AI interface for tinkerers using Ollama and Haystack RAG
Stars
- openpi
- 13k
- chipper
- 484
Forks
- openpi
- 2.3k
- chipper
- 46
Open issues
- openpi
- 316
- chipper
- 6
Language
- openpi
- Python
- chipper
- Python
Adopt for
- 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.
- chipper
- Chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation.
Persona
- openpi
- -
- chipper
- -
Runtime
- openpi
- -
- chipper
- -
License
- openpi
- Apache-2.0
- chipper
- MIT
Last pushed
- openpi
- Jun 16, 2026
- chipper
- May 19, 2026
Categories
- openpi
- Inference & Serving, Model Training
- chipper
- AI Agents, Evaluation & Observability, Inference & Serving
Trust and health
Days since push
- openpi
- 46d
- chipper
- 66d
Open issues (now)
- openpi
- 316
- chipper
- 6
Owner type
- openpi
- Organization
- chipper
- User
Full report
- openpi
- Trust report
- chipper
- Trust report
Choose openpi if…
- License: openpi is Apache-2.0, chipper is MIT.
- Tags unique to openpi: fine-tuning, lora, model parallelism, nvidia gpu.
- Also covers Model Training.
- 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.
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.
Choose chipper if…
- License: chipper is MIT, openpi is Apache-2.0.
- Tags unique to chipper: agent, deepseek-chat, embedding, llm-inference.
- Also covers AI Agents, Evaluation & Observability.
- When you require an environment that integrates with Ollama API.
When NOT to use chipper
- When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities.
- If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited.
- For teams preferring frameworks or tools that do not support agentic-AI features found in Chipper.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Physical-Intelligence/openpi) · observed Aug 2, 2026
- GitHub forks (Physical-Intelligence/openpi) · observed Aug 2, 2026
- Last push (Physical-Intelligence/openpi) · observed Jun 16, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (TilmanGriesel/chipper) · observed Jul 25, 2026
- GitHub forks (TilmanGriesel/chipper) · observed Jul 25, 2026
- Last push (TilmanGriesel/chipper) · observed May 19, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: openpi 13k · chipper 484 (synced Aug 2, 2026).
Common questions
- What is the difference between openpi and chipper?
- openpi: Repository for running AI models with GPU requirements specified.. chipper: AI interface for tinkerers using Ollama and Haystack RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose openpi over chipper?
- Choose openpi over chipper when License: openpi is Apache-2.0, chipper is MIT; Tags unique to openpi: fine-tuning, lora, model parallelism, nvidia gpu; Also covers Model Training; 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.
- When should I choose chipper over openpi?
- Choose chipper over openpi when License: chipper is MIT, openpi is Apache-2.0; Tags unique to chipper: agent, deepseek-chat, embedding, llm-inference; Also covers AI Agents, Evaluation & Observability; When you require an environment that integrates with Ollama API.
- 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.
- When should I avoid chipper?
- When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities. If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited. For teams preferring frameworks or tools that do not support agentic-AI features found in Chipper.
- Is openpi or chipper more popular on GitHub?
- openpi has more GitHub stars (13,098 vs 484). Stars measure visibility, not whether either tool fits your constraints.
- Are openpi and chipper open source?
- Yes - both are open-source projects on GitHub (openpi: Apache-2.0, chipper: MIT).
- Where can I find alternatives to openpi or chipper?
- GraphCanon lists graph-backed alternatives at openpi alternatives and chipper alternatives (openpi markdown twin, chipper 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, openpi or chipper?
- openpi: Steady. chipper: Steady. 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 openpi and chipper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openpi trust report; chipper trust report.