MLArtisan
Deploy Machine Learning Models via API (Cloud & Self-Hosted)
Details
- Follow on
- @MLArtisan
- Categories
- AIDeveloper ToolsAnalytics & Monitoring
- Target Audience
- Data ScientistsDevelopersDevOps Engineers
About MLArtisan
MLArtisan is a lightweight platform for building, training, versioning, and deploying machine learning models through a simple workflow and clean APIs — available both as a cloud service and a self-hosted Docker solution.
Product Insights
MLArtisan provides a specialized environment for machine learning versioning and deployment through a unified API-driven workflow. The platform supports hybrid infrastructure requirements by offering both cloud-based and self-hosted Docker deployments for developers and data scientists.
- Supports both cloud-hosted and self-hosted Docker deployment options.
- Integrated workflow for building, training, and versioning machine learning models.
- Clean API-first architecture designed for machine learning hosting and deployment.
- Categorized as a lightweight solution for API development and workflow automation.
Ideal for: Data scientists, developers, and DevOps engineers needing a flexible way to manage and deploy machine learning models through APIs across cloud or local infrastructure.
Screenshots
Reviews (0)
No reviews yet. Be the first to rate this product!
Comments (3)
The project is still in active development, but the beta version is ready for early users. Do you have an idea of where ML could enhance your product or user experience? Share it — I’m happy to discuss how MLArtisan can help.
Looks promising, well done!
MLArtisan was born from real-world pain: in a small engineering team, integrating ML meant months of dealing with datasets, experiments, pipelines, deployments, scaling, and infrastructure