GitFounders3 Open Source Alternatives to AWS SageMaker
A list of 3 carefully selected open-source alternatives to AWS SageMaker.
The open-source alternatives are ranked based on our custom ranking system and score. This system takes into account various factors to determine the best alternatives.
If you’re looking for alternative features or workflows, here is a prepared detailed list of AWS SageMaker open-source alternatives — each with its own distinctive strengths and key features.
Cortex is a cloud infrastructure solution designed to deploy, manage, and scale machine learning models in production. It supports diverse serverless workloads and automates cluster management for robust, scalable ML applications.
Key Features
- Supports serverless workloads: Realtime, Async, and Batch processing
- Automated cluster management with autoscaling and spot instance support
- CI/CD integration with provisioning, metrics, and logging capabilities
- Seamless integration with AWS services including EKS, VPC, and IAM
- Facilitates scalable ML applications including model serving and MLOps
Cortex enables the deployment of machine learning models with real-time, asynchronous, and batch processing capabilities, scaling automatically based on demand. It offers automated cluster management with features like autoscaling, spot instance support, and multi-environment configurations. Additionally, CI/CD integration and observability tools such as pre-built Grafana dashboards and log streaming enhance operational monitoring and ease of deployment on AWS infrastructures like EKS, VPC, and IAM.
Ploomber is a dynamic tool for building data pipelines quickly and efficiently. It empowers developers to iterate rapidly and deploy data applications anywhere with enterprise-grade security and scalability.
Key Features
- Rapid, iterative development of data pipelines
- Easy deployment from Git, command line, or drag & drop
- Enterprise-grade authentication and security options
- Built-in analytics and real-time performance monitoring
- Auto-scaling with flexible resource management
- Custom domains and integration with popular frameworks
Ploomber accelerates data pipeline development by integrating seamlessly with popular frameworks like Streamlit, Dash, and FastAPI. It provides a streamlined platform for iterative development, enabling drag & drop deployment, Git integration, and a suite of enterprise features such as authentication, auto-scaling, and granular access control, all designed to enhance productivity and simplify the deployment process.
Towhee is a framework that simplifies and accelerates neural data processing pipelines. It enables users to convert unstructured data into embeddings using a pythonic API, making it ideal for both prototype development and production environments.
Key Features
- Python API for rapid prototyping and production optimization
- Supports nearly 20 different unstructured data modalities
- Pipeline execution accelerated by complete end-to-end optimizations
- Access to 700+ pre-trained embedding models spanning multiple domains
- Fully integrated with popular libraries and frameworks
- Pythonic method-chaining API with schema support
Towhee is an open-source machine learning pipeline framework that encodes various unstructured data modalities—from images and text to 3D molecular structures—into embeddings. It offers end-to-end pipeline optimizations that enhance speed by up to 10x, and provides access to over 700 pre-trained models across fields such as CV, NLP, multimodal, audio, and medical. With its intuitive method-chaining API and seamless integration with popular libraries, Towhee streamlines the development of production-ready neural data processing pipelines.
Price comparison of AWS SageMaker open-source alternatives
| Tool | Tier 1 | Tier 2 | Tier 3 | Details |
|---|---|---|---|---|
 | - Community | $20 Professional | $200 Teams | Learn more |
* Pricing shown is based on publicly available information and may not reflect current rates. Visit each tool's website for detailed pricing information and additional tiers.