Developer Tools

flyteplugins-anthropic

This plugin provides integration between Flyte and Anthropic's Claude API, enabling you to use Flyte tasks as tools for Claude agents.

flytekitplugins-deck-standard

This plugin provides additional renderers to improve task visibility within Flytekit.

flytekitplugins-envd

envd is a command-line tool that helps you create the container-based development environment for AI/ML.

flytekitplugins-flyteinteractive

FlyteInteractive plugin provides users' favorite interface to develop and debug a flyte task interactively. We support vscode, jupyter (WIP), and neovim (WIP).

flyteplugins-gemini

This plugin provides integration between Flyte and Google's Gemini API, enabling you to use Flyte tasks as tools for Gemini agents.

flytekitplugins-identity_aware_proxy

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.

flyteplugins-hitl

Human-in-the-Loop (HITL) plugin for Flyte. This plugin provides an event-based API for pausing workflows and waiting for human input.

flyteplugins-jsonl

JSONL (JSON Lines) file and directory types for Flyte, backed by orjson for

flyteplugins-codegen

Generate code from natural language prompts and validate it by running tests in an isolated sandbox. Works with any model that supports structured outputs (GPT-4, Claude, Gemini, etc. via LiteLLM) or directly with the Agent SDK (Claude-only).

flytekitplugins-memray

Memray tracks and reports memory allocations, both in python code and in compiled extension modules.

flyteplugins-mlflow

MLflow tracking plugin for Flyte

flytekitplugins-omegaconf

Flytekit python natively supports serialization of many data types for exchanging information between tasks.

flytekitplugins-optuna

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.

flyteplugins-pandera

flyteplugins-pandera adds support for pandera.typing.pandas.DataFrame, pandera.typing.polars.DataFrame / LazyFrame, and pandera.typing.pyspark_sql.DataFrame in Flyte v2.