Kubeflow is an open-source machine learning platform based on Kubernetes for data scientists and ML engineers.
Best Seldon Alternatives ranked by AI · updated May 2025
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Seldon is an open-source platform that helps deploy machine learning models at scale.
Top 6 Seldon alternatives
MLflow is an open-source platform to manage the end-to-end machine learning lifecycle. It includes tracking, packaging, and deploying models.
Pros
- Comprehensive ML lifecycle management
- Integration with popular ML frameworks
Cons
- Less emphasis on reproducibility compared to Syberia
- Limited deployment options
DVC is an open-source version control system for machine learning projects. It helps manage data, code, and model files in a reproducible...
Pros
- Efficient version control for ML projects
- Works well with Git
Cons
- Focused on versioning, lacks some ML-specific features
- Steep learning curve
Databricks is a unified data analytics platform that provides a collaborative environment for big data and machine learning.
Contact for pricing
Apache Airflow is a platform to programmatically author, schedule and monitor workflows.
Open-source
Algorithmia is a platform that provides a marketplace for algorithms and functions. It allows developers and data scientists to deploy and scale...
Free trial available. Pricing based on usage.
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