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.
HuggingFace
Use HuggingFace dataset as a native Flyte type.
Data Validation
Validate data at every step of your Flyte workflow.
Great Expectations
Validate your data with expectations.
Databases & Data Warehouses
Manage and connect to databases and warehouses seamlessly.
DoltHub
Apply git-like versioning to your SQL databases.
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.
AWS Sagemaker
Train ML models on Sagemaker from within Flyte.
Distributed Model Training
Perform distributed model training to speed up the model development process.
Kubeflow MPI
Run distributed training with an MPI operator.
Ray
Connect to Ray cluster to perform distributed model training and hyperparameter tuning.
Kubeflow TensorFlow
Run distributed TensorFlow training jobs.
Kubeflow PyTorch
Run distributed PyTorch training jobs.
Model Deployment
Streamline the model deployment process.
ONNX TensorFlow
Generate ONNX models from TensorFlow models.
ONNX Scikit Learn
Generate ONNX models from Scikit Learn models.
Monitoring
Monitor data and models from within Flyte.
Whylogs
Log any kind of data and generate summaries of datasets.
Kubernetes-Native
Exercise greater control over Kubernetes resources.
Kubernetes Pods
Configure pods for arbitrary workloads.
Miscellaneous
Build your own integration
Create your own integration and submit it to the Flyte repository.