Comparison
ormb vs openpi
Verdict
Pick ormb if oRMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management; pick openpi if openpi is a repository for running AI models with specific GPU requirements for inference and fine-tuning, including LoRA and full fine-tuning modes.
Markdown twin · ormb alternatives · openpi alternatives
GraphCanon updated Sep 30, 2026
8views this month
vs
Trust & integrity
| Signal | ormb | openpi |
|---|---|---|
| Maintenance | Dormant (978d since push) As of Sep 30, 2026 · github_public_v1 | Active (24d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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 |
Tagline
- ormb
- Docker for ML/DL Models Based on OCI Artifacts
- openpi
- Repository for running AI models with GPU requirements specified for inference and fine-tuning.
Stars
- ormb
- 474
- openpi
- 14k
Forks
- ormb
- 61
- openpi
- 2.5k
Open issues
- ormb
- 32
- openpi
- 345
Language
- ormb
- Go
- openpi
- Python
Adopt for
- ormb
- ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management.
- openpi
- openpi is a repository for running AI models with specific GPU requirements for inference and fine-tuning, including LoRA and full fine-tuning modes.
Persona
- ormb
- -
- openpi
- -
Runtime
- ormb
- -
- openpi
- -
License
- ormb
- Apache-2.0
- openpi
- Apache-2.0
Last pushed
- ormb
- Jan 26, 2024
- openpi
- Aug 24, 2026
Categories
- ormb
- Inference & Serving, Model Training
- openpi
- Inference & Serving, Model Training
Trust and health
Maintenance
- ormb
- Dormant (18%)
- openpi
- Active (82%)
Days since push
- ormb
- 978d
- openpi
- 24d
Open issues (now)
- ormb
- 32
- openpi
- 345
Stars delta
- ormb
- +1 (30d)
- openpi
- +776 (30d)
Open issues delta
- ormb
- 0 (30d)
- openpi
- +29 (30d)
OSV dependency advisories
- ormb
- Published findings
- openpi
- No lockfile (source not queried)
Full report
- ormb
- Trust report
- openpi
- Trust report
Choose ormb if…
- ormb is primarily Go; openpi is Python.
- Tags unique to ormb: docker, machine-learning, model-management, model-versioning.
- If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality.
When NOT to use ormb
- Should you seek simple models deployment without extensive version management features, ORMB may introduce unnecessary complexity.
- If your project strictly avoids using Docker and OCI artifacts for model handling, then this tool would not be suitable.
Choose openpi if…
- openpi is primarily Python; ormb is Go.
- Requirements: The repository requires an NVIDIA GPU with at least 8 GB of memory for inference, 22.5 GB for fine-tuning with LoRA, and 70 GB for full fine-tuning..
- Tags unique to openpi: fine-tuning, gpu, inference, lora.
- Use openpi when you need to run AI models with precise GPU memory requirements for inference and fine-tuning, particularly with LoRA and full fine-tuning modes.
When NOT to use openpi
- Avoid using openpi if your project requires multi-node training, as the current training script does not support this feature.
- Do not use openpi if you are working on an operating system other than Ubuntu 22.04, as the repository has not been tested with other systems.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kleveross/ormb) · observed Sep 30, 2026
- GitHub forks (kleveross/ormb) · observed Sep 30, 2026
- Last push (kleveross/ormb) · observed Jan 26, 2024
- License file (Apache-2.0) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Physical-Intelligence/openpi) · observed Sep 20, 2026
- GitHub forks (Physical-Intelligence/openpi) · observed Sep 20, 2026
- Last push (Physical-Intelligence/openpi) · observed Aug 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: ormb 474 · openpi 14k (synced Sep 30, 2026).
Common questions
- What is the difference between ormb and openpi?
- ormb: Docker for ML/DL Models Based on OCI Artifacts. openpi: Repository for running AI models with GPU requirements specified for inference and fine-tuning.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ormb over openpi?
- Choose ormb over openpi when ormb is primarily Go; openpi is Python; Tags unique to ormb: docker, machine-learning, model-management, model-versioning; If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality.
- When should I choose openpi over ormb?
- Choose openpi over ormb when openpi is primarily Python; ormb is Go; Requirements: The repository requires an NVIDIA GPU with at least 8 GB of memory for inference, 22.5 GB for fine-tuning with LoRA, and 70 GB for full fine-tuning.; Tags unique to openpi: fine-tuning, gpu, inference, lora; Use openpi when you need to run AI models with precise GPU memory requirements for inference and fine-tuning, particularly with LoRA and full fine-tuning modes.
- When should I avoid ormb?
- Should you seek simple models deployment without extensive version management features, ORMB may introduce unnecessary complexity. If your project strictly avoids using Docker and OCI artifacts for model handling, then this tool would not be suitable.
- When should I avoid openpi?
- Avoid using openpi if your project requires multi-node training, as the current training script does not support this feature. Do not use openpi if you are working on an operating system other than Ubuntu 22.04, as the repository has not been tested with other systems.
- Is ormb or openpi more popular on GitHub?
- openpi has more GitHub stars (13,874 vs 474). Stars measure visibility, not whether either tool fits your constraints.
- Are ormb and openpi open source?
- Yes - both are open-source projects on GitHub (ormb: Apache-2.0, openpi: Apache-2.0).
- Where can I find alternatives to ormb or openpi?
- GraphCanon lists graph-backed alternatives at ormb alternatives and openpi alternatives (ormb 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, ormb or openpi?
- ormb: Dormant. 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 ormb and openpi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ormb trust report; openpi trust report.