Eurybia tracks model drift and validates data during machine learning model deployment.
Merlin
Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.

About Merlin
Merlin is an open-source platform for managing, deploying, and serving machine learning models in Kubernetes environments. It organizes work around Project, Model, Version, and Endpoint concepts to hide infrastructure complexity from users. It is built on Knative and KFServing to provide autoscaling serverless model serving.
You can install it for local development, follow documentation in the docs folder, and use the Python SDK or API to manage models. Client libraries for Golang and Python are generated with Swagger Codegen, and API docs can be run locally. It suits teams and developers already running Kubernetes who need self-serve model deployment.
The repository includes examples, database migrations, and contribution guidelines, and notes the project is still under active development. It is listed under machine-learning and mlops topics and uses an Apache-2.0 license.
Key features
- Manage models using Project, Model, Version, Endpoint concepts
- Deploy and serve machine learning models on Kubernetes
- Autoscale model serving with Knative and KFServing
- Use Python SDK to interact with Merlin
- Generate Golang and Python clients with Swagger Codegen
- Open source with Apache-2.0 license
- Abstracts deployment complexity with standard concepts
- Includes Python SDK and generated API clients
- Supports autoscaling on Kubernetes
- Still under active development
- Requires Kubernetes, Knative, and KFServing setup
Merlin at a glance
- Website
- github.com/gojek/merlin
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Merlin alternatives
Tools and sites you could use instead, ranked by how closely they match.
MMDeploy provides a model deployment framework from the OpenMMLab project.
Cog packages machine learning models into containers to support deployment across environments.
ClearML combines experiment and data management, pipelines, scheduling, orchestration, and model serving for AI workloads.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
Flexible, high-performance serving system for machine learning models.
Popular in AI Infrastructure & MLOps
Well-known listings from the same topic.
Merlin FAQ
What is Merlin used for?
Is Merlin open source?
How does Merlin handle scaling?
Does Merlin offer a Python SDK?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.











