Integrations
Expand the capabilities of your Flyte workflows with a range of powerful integrations.
DataFrames
Crunch data however you want. Automatically transition data from one dataframe type to the other using Structured Dataset.
Data Validation
Validate data at every step of your Flyte workflow.
Databases & Data Warehouses
Manage and connect to databases and warehouses seamlessly.
Data Processing
Process and analyze your data with data-crunchers.
Databricks
Schedule, monitor and orchestrate Databricks jobs.
Feature Stores
Store, share and manage features for ML models.
Model Training
Simplify the model training process.
PyTorch Elastic v1
Pytorch-native multi-node distributed training.
Distributed Model Training
Perform distributed model training to speed up the model development process.
Ray
Connect to Ray cluster to perform distributed model training and hyperparameter tuning.
Kubeflow TensorFlow
Run distributed TensorFlow training jobs.
Kubeflow MPI
Run distributed training with an MPI operator.
Kubeflow PyTorch
Run distributed PyTorch training jobs.
Model Deployment
Streamline the model deployment process.
Monitoring
Monitor data and models from within Flyte.
Weights & Biases v1
Best in class ML/AI experiment- and inference-time tracking.
Kubernetes-Native
Exercise greater control over Kubernetes resources.
Miscellaneous
Build your own integration
Create your own integration and submit it to the Flyte repository.
