Dagu
7.0#7 in workload automation softwareFrom $50 a monthFree planWebAPILinuxmacOS
VisitDagu vs Flyte
What both publish
| Fact | Dagu | Flyte |
|---|---|---|
| Deployment | Dagu runs as a single binary locally or across distributed workers and does not require an external database or message broker. | Flyte 2 can run locally with a devbox or on a user's cluster; the site provides `pip install flyte` and `flyte start devbox` setup commands. |
| Integrations | Built-in integration actions include HTTP, mail, SSH, SFTP, Git, S3, Redis, LLM, browser, computer, SQL, PostgreSQL, SQLite, and DuckDB. | 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. |
| License | Dagu is open source under the GNU General Public License v3.0. | The Flyte repositories and SDKs are published under the Apache License 2.0. |
| Purpose | Dagu is a self-hosted workflow engine that lets users define DAG workflows in YAML and manage runs, logs, and retries through a built-in web UI. | Flyte 2 is a durable AI runtime for workloads involving training, serving, and agents. |
Dagu plans
- CommunityFree
- Team$50 a month
- Pro$150 a month
- EnterprisePriced on request
Flyte plans
- Flyte OSSFree
- Team$950 a month
- Union.ai Team (enterprise Flyte platform)$950 a month
- EnterprisePriced on request
Pick Dagu if…
Dagu suits people who want to define and operate workflows on self-hosted servers. Community is for users who can work within a two-API-key limit; Team and Pro add access and audit controls.
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.