Plugin Wishlist

Google Cloud Storage API client library

PyMongo - the Official MongoDB Python driver

dlt is an open-source python-first scalable data loading library that does not require any backend to run.

Workflow orchestration and management.

MinIO Python SDK for Amazon S3 Compatible Cloud Storage

Distributed Dataframes for Multimodal Data

Package for validating your machine learning model and data

Find out if your data is what you think it is.

This plugin uses the Kubeflow PyTorch Operator and provides an extremely simplified interface for executing distributed training using various PyTorch backends.

whylogs is an open source library for logging any kind of data. With whylogs,

This plugin allows you to generate ONNX models from your ScikitLearn models.

This plugin allows you to generate ONNX models from your PyTorch models.

GCP Identity Aware Proxy (IAP) is a managed Google Cloud Platform (GCP) service that makes it easy to protect applications deployed on GCP by verifying user identity and using context to determine whether a user should be granted access. Because requests to applications protected with IAP first have to pass IAP before they can reach the protected backends, IAP provides a convenient way to implement a zero-trust access model.

This documentation provides a guide to a fully parallelized Flyte plugin for Optuna. This wrapper leverages Flyte's scalable and distributed workflow orchestration capabilities to parallelize Optuna's hyperparameter optimization across multiple trials efficiently.

The DoltTable plugin is a wrapper that uses Dolt to move data between pandas.DataFrame’s at execution time and database tables at rest.

Vaex is a high-performance Python library for lazy out-of-core DataFrames

Serve models natively in Flyte tasks using inference providers like NIM, Ollama, and others.

Neptune is the MLOps stack component for experiment tracking. It offers a single place to log, compare, store, and collaborate on experiments and models. This plugin integrates Flyte with Neptune by configuring links between the two platforms.

Flyte Connector plugin for executing Flyte tasks on Perian Job Platform (perian.io).

Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Python library for easily interacting with trained machine learning models

Python plotting package

Python client for Redis database and key-value store

Statistical data visualization