1
Also covers ai infrastructure, docker, and open source · same kind of open-source project
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Alternatives
The Best Harbor Alternatives in 2026
24 alternatives0 free · 21 open source
Looking for something like Harbor? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 21 are open source.
Harbor sets up a preconfigured LLM stack with one command and includes hundreds of services to explore.
Top picks at a glance
First suggestionormbORMB packages machine learning models as OCI artifacts, in…Another optionCogCog packages machine learning models into containers to…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | ormb | — | Yes | — |
| 2 | Cog | — | Yes | — |
| 3 | deepjavalibrary/djl | — | Yes | Android |
| 4 | Kitaru | — | Yes | — |
| 5 | Starwhale | — | Yes | — |
| 6 | ONNX-MLIR | — | Yes | — |
| 7 | Hydrosphere | — | Yes | — |
| 8 | Modelz-LLM | — | Yes | — |
| 9 | Manifest | — | Yes | — |
| 10 | QuivrHQ/MegaParse | — | Yes | — |
All Harbor alternatives
2
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Cog packages machine learning models into containers to support deployment across environments.
3
Also covers ai infrastructure, docker, and open source · same kind of open-source project
DJL is a Java framework for running deep learning models across different engines.
4
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Kitaru provides agent traces that teams can run and inspect during application workflows.
5
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Machine learning operations and large language model operations are the focus of Starwhale’s platform.
6
Also covers ai infrastructure, docker, and open source · same kind of open-source project
ONNX-MLIR compiles ONNX models using MLIR compiler infrastructure for model deployment workflows.
7
Also covers ai infrastructure, docker, and open source · same kind of open-source project
The Hydrosphere repository describes an MLOps platform for machine learning operations.
8
Also covers ai infrastructure, docker, and open source · same kind of open-source project
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
9
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Manifest connects AI agents and tools to multiple model providers through an LLM gateway.
10
Also covers ai infrastructure, docker, and open source · same kind of open-source project
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
11
Also covers ai infrastructure, docker, and open source · same kind of open-source project
ModelDB tracks machine learning model versions, metadata, and experiments.
12
Also covers ai infrastructure, docker, and open source · same kind of open-source project
dstack coordinates AI compute and supports training and inference across GPU clouds, Kubernetes, VMs, and bare metal.
13
Also covers ai infrastructure, docker, and open source · same kind of open-source project
FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.
14
Also covers ai infrastructure, docker, and open source · same kind of open-source project
MiroShark describes a swarm intelligence engine for simulating scenarios with stated time and cost targets.
15
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Flexible, high-performance serving system for machine learning models.
16
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Model deployment for AI applications is supported by nndeploy, a framework described as easy to use and high performance.
17
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Latitude provides observability for AI agents and helps teams trace failures and verify fixes.
18
Also covers ai infrastructure, docker, and open source · same kind of open-source project
MMDeploy provides a model deployment framework from the OpenMMLab project.
19
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Marquez collects, aggregates, and visualizes metadata about a data ecosystem.
20
Also covers ai infrastructure, docker, and open source · same kind of open-source project
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.
21
DeepDetect
github.com/jolibrain/deepdetectAlso covers ai infrastructure and docker · same kind of open-source project
DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT.
22
opensource
github.com/agenta-ai/agentaAlso covers ai infrastructure and self hosted · same kind of open-source project
Agenta provides a workspace for teams to build AI agents and automations.
23
Also covers ai infrastructure and self hosted · same kind of open-source project
Laminar provides open-source observability tools designed for applications built with AI agents.
24
Singa
singa.apache.org/en/index.htmlAlso covers ai infrastructure and docker · same kind of open-source project
Apache SINGA supports distributed deep learning through a system and library for model training.
No alternatives match this filter.
Alternatives to similar tools
ONNX-MLIR24 alternativesKitaru24 alternativesStarwhale24 alternativesManifest24 alternativesQuivrHQ/MegaParse24 alternativesnndeploy24 alternatives
What is the best alternative to Harbor?
Based on features, tags and platforms, the closest alternatives to Harbor are ormb, Cog, and deepjavalibrary/djl.
Are there open-source alternatives to Harbor?
Yes: ormb, Cog, deepjavalibrary/djl, and Kitaru.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative