Flyte vs Luigi

Flyte 2 is a durable runtime for AI workloads involving training, serving and agents. Users write workflows as plain Python async functions and use a TaskEnvironment to declare images, resources, secrets and retry policies. Flyte resumes from failed tasks and can recover from out-of-memory kills, preempted nodes and disappearing GPUs. Branches, loops and runtime decisions support dynamic workflows and agents. Native serving integrations include Streamlit, FastAPI, vLLM, SGLang and Ollama, with replicas able to scale to zero when idle. Listed integrations also cover Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask and Databricks. It runs locally with a devbox or on a customer cluster. Union.ai says customer-cloud data planes keep workflow inputs, outputs, logs, code and reports outside its control plane. Flyte is available as free Apache 2.0 open-source software.

Luigi is a free Python package for defining and coordinating batch-job pipelines, dependencies, workflow execution, and failures. Workflows and dependency graphs are specified in Python, and tasks can also trigger work outside Python. Its documentation describes task support for Hadoop, Hive, Pig, and Spark, plus HDFS and local file abstractions. Those abstractions make file operations atomic, helping avoid pipelines being left with partial data. The Luigi server includes a web interface for searching and filtering tasks and viewing dependency graphs. It also supports command-line integration and use from Python code. The documentation describes pipelines with thousands of tasks that may run for days or weeks, including Hadoop jobs, database transfers, and machine-learning algorithms. The package is self-hosted, with no registration wall. Install the latest stable version with `pip install luigi`; adding `[toml]` enables TOML-based configuration. Documentation lists Python 3.10, 3.11, 3.12, and 3.13 as tested versions. A mailing list is available for discussion and questions.