seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
GraphCanon updated 2w · GitHub synced 2w
Decision brief
seldon-core is an MLOps framework designed for managing machine learning models in Kubernetes environments.
Good fit when
- If you are deploying and serving ML models on Kubernetes clusters, seldon-core provides specialized capabilities within its MLOps framework to facilitate this.
- When model monitoring and management scale up, specifically when dealing with thousands of production models, seldon-core can assist in maintaining operational efficiency.
Avoid when
- Consider alternatives if you are not running your infrastructure on Kubernetes, since seldon-core is optimized for Kubernetes environments.
- If compatibility or licensing concerns arise due to the Business Source License under which Seldon is distributed, explore other frameworks with more permissive licenses.
- Requirements:
- Requires Docker; Requires Docker for deployment environments
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (133d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/SeldonIO/seldon-coreHow it fits your stack(1)
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Overview
SeldonIO/seldon-core is an MLOps system facilitating easy management of machine learning models in production environments with support for Kubernetes. It focuses on deployment and serving aspects of machine learning operations.
Capability facts
- Languages
- go
Source: github.language · Aug 3, 2026
Categories
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README
📜 License
Seldon is distributed under the terms of the The Business Source License. A complete version of the license is available in the LICENSE file in this repository. Any contribution made to this project will be licensed under the Business Source License.
For agents
This page has a .md twin and JSON over the API.