Integrations#
Flyte is designed to be highly extensible and can be customized in multiple ways.
Note
Want to contribute an example? Check out the Example Contribution Guide.
Flytekit Plugins#
Flytekit plugins are simple plugins that can be implemented purely in python, unit tested locally and allow extending Flytekit functionality. These plugins can be anything and for comparison can be thought of like Airflow Operators.
Execute SQL queries as tasks. |
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Validate data with |
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Execute Jupyter Notebooks with |
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Validate pandas dataframes with |
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Scale pandas workflows with |
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Version your SQL database with |
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Run and test your |
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Convert ML models to ONNX models seamlessly. |
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Run analytical queries using DuckDB. |
Native Backend Plugins#
Native Backend Plugins are the plugins that can be executed without any external service dependencies because the compute is orchestrated by Flyte itself, within its provisioned Kubernetes clusters.
Execute K8s pods for arbitrary workloads. |
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Run Dask jobs on a K8s Cluster. |
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Run Spark jobs on a K8s Cluster. |
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Run distributed PyTorch training jobs using |
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Run distributed TensorFlow training jobs using |
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Run distributed deep learning training jobs using Horovod and MPI. |
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Run Ray jobs on a K8s Cluster. |
External Service Backend Plugins#
As the term suggests, external service backend plugins relies on external services like AWS Sagemaker, Hive or Snowflake for handling the workload defined in the Flyte task that use the respective plugin.
Train models with built-in or define your own custom algorithms. |
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Train Pytorch models using Sagemaker, with support for distributed training. |
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Execute queries using AWS Athena |
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Running tasks and workflows on AWS batch service |
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Run Hive jobs in your workflows. |
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Execute tasks using MemVerge Memory Machine Cloud |
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Run Snowflake jobs in your workflows. |
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Run Databricks jobs in your workflows. |
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Run BigQuery jobs in your workflows. |
Custom Container Tasks#
Because Flyte uses executable docker containers as the smallest unit of compute, you can write custom tasks with the
flytekit.ContainerTask
via the flytekit SDK.
Execute arbitrary containers: You can write C++ code, bash scripts and any containerized program. |
SDKs for Writing Tasks and Workflows#
The community would love to help you with your own ideas of building a new SDK. Currently the available SDKs are:
The Python SDK for Flyte. |
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The Java/Scala SDK for Flyte. |
Flyte Operators#
Flyte can be integrated with other orchestrators to help you leverage Flyte’s constructs natively within other orchestration tools.
Trigger Flyte executions from Airflow. |