MLflow
MLflow 2.0 revolutionizes machine learning workflows by integrating user feedback to enhance data science processes. It introduces MLflow Recipes, enabling swift model development with AutoML capabilities. With improved APIs, a refreshed Tracking UI, and seamless compatibility across ML libraries, it empowers teams to efficiently deploy, manage, and evaluate ML models at scale.
Top MLflow Alternatives
Kubeflow
Kubeflow facilitates the deployment and management of machine learning workflows on Kubernetes.
Splunk Machine Learning Toolkit
The Splunk Machine Learning Toolkit (MLTK) enhances the Splunk platform with specialized tools for machine learning.
Azure Notebooks
Azure Notebooks offers an intuitive platform for developing and running code in Jupyter notebooks via any web browser.
Altair Knowledge Works
Altair Knowledge Works is a machine learning software designed to streamline data analytics for businesses.
HPE Ezmeral ML OPS
HPE Ezmeral ML Ops offers a suite of pre-packaged tools designed to streamline machine learning workflows throughout the entire lifecycle, from pilot to production.
H2O.ai
This end-to-end GenAI platform enables organizations to fully control their data and prompts, whether deployed on-premises, air-gapped, or within cloud VPCs.
Hugging Face
With features like virtual camera view generation, conversational speech synthesis, and seamless integration for multi-GPU...
neptune.ai
It enables teams to monitor per-layer performance, quickly identifying issues like vanishing gradients...
Gradio
With just a few lines of code, developers can create interactive demos, share public links...
Oracle Data Science
It leverages enterprise-trusted data for swift deployment, facilitating data-driven goals...
Moloco
It empowers businesses to leverage first-party data for user acquisition and monetization, while real-time model...
AWS Elastic Fabric Adapter (EFA)
With its custom OS bypass mechanism, EFA significantly boosts performance for HPC and machine learning...
Kubeflow
It features Kubeflow Pipelines for scalable workflows, centralized dashboards for easy management, and supports interactive...
Amazon SageMaker Model Training
It features advanced distributed training libraries, enabling efficient data handling across AWS instances...
Top MLflow Features
- MLflow Recipes integration
- AutoML capabilities
- Hyperparameter tuning support
- Classification model support
- Revamped MLflow Tracking UI
- Enhanced model scoring API
- Comprehensive model evaluation reports
- Unique run naming feature
- Simplified search filters
- Experiment run pinning
- Centralized artifact management
- Modular model code delivery
- Improved data profiling
- Cross-library compatibility
- Performance metrics generation
- Detailed explainability insights
- Streamlined MLOps workflows
- Unified logging for TensorFlow
- Enhanced model comparison tools
- Easy dataset and target specification
