Flyte
8.0#2 in workload automation softwareFree planFree planWebAPILinuxSelf-hosted
VisitFlyte vs Luigi
What both publish
| Fact | Flyte | Luigi |
|---|---|---|
| Integrations | The Flyte site lists integrations including Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask, and Databricks. | The documentation describes task support for Hadoop, Hive, Pig, and Spark, plus HDFS and local file abstractions. |
| Purpose | Flyte 2 is a durable AI runtime for workloads involving training, serving, and agents. | Luigi is a Python package for building complex pipelines of batch jobs and managing their dependencies, workflows, visualization, and failures. |
Flyte plans
- Flyte OSSFree
- Team$950 a month
- Union.ai Team (enterprise Flyte platform)$950 a month
- EnterprisePriced on request
Luigi plans
- LuigiFree
Pick Flyte if…
Flyte suits teams building AI workflows for training, serving, or agents, particularly those needing dynamic execution and recovery from infrastructure failures. It offers local devbox and cluster deployment options.
Pick Luigi if…
Luigi suits developers building long-running batch pipelines in Python, including work involving Hadoop jobs, database transfers, or machine-learning algorithms. It is a fit for teams prepared to use a self-hosted package rather than a visual workflow builder.