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ormb

kleveross/ormb

Docker for ML/DL Models Based on OCI Artifacts

GraphCanon updated 3w · GitHub synced 3w

473 stars61 forksLast push 2y Go Apache-2.0

Decision brief

ORMB encapsulates machine learning and deep-learning models via OCI artifacts within Docker containers for streamlined model management.

Good fit when

  • If you need sophisticated version control for your ML/DL models through an image registry, ORMB provides this functionality.
  • For operations where integration with Harbor or other OCI-compatible registries is preferred over traditional storage methods.

Avoid when

  • 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.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (920d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
201 low (201 low)
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/kleveross/ormb
pkg.go.dev

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A tool to manage machine learning and deep learning models using Docker and OCI artifacts for model and version management.

Capability facts

Languages
go

Source: github.language · Aug 4, 2026

Categories

Tags

README

Getting Started

You can watch our sample usage video or read the text version below.

First, open a model folder that meets the specification of ORMB. (See our documentation for more information about ormbfile.yaml)


---

### Install the image registry

`ORMB` uses the image registry to store model, you can choose to [install Harbor](https://github.com/goharbor/harbor-helm) or [use Docker Registry](https://docs.docker.com/registry/deploying/). We recommended Harbor here.

---

### Install `ORMB`

You can install the pre-compiled binary, or compile from source.

#### Install the pre-compiled binary

Download the pre-compiled binaries from [the releases](https://github.com/kleveross/ormb/releases) page and copy to the desired location.

#### Compile from source

Clone:

$ git clone https://github.com/kleveross/ormb $ cd ormb


Get the dependencies:

$ go mod tidy


Build:

$ make build-local


Verify it works:

$ ./bin/ormb --help

For agents

This page has a .md twin and JSON over the API.

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