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Posted to commits@airflow.apache.org by po...@apache.org on 2026/02/22 16:48:40 UTC
(airflow-site) branch main updated: Add Flowrs to ecosystem list (#1422)
This is an automated email from the ASF dual-hosted git repository.
potiuk pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/airflow-site.git
The following commit(s) were added to refs/heads/main by this push:
new 0ab790bcbc Add Flowrs to ecosystem list (#1422)
0ab790bcbc is described below
commit 0ab790bcbcb7567f1d08e91b4c88c47f0da1f934
Author: Jan Vanbuel <ja...@hotmail.com>
AuthorDate: Sun Feb 22 17:48:34 2026 +0100
Add Flowrs to ecosystem list (#1422)
Added Flowrs as a TUI application for monitoring Airflow DAGs.
---
landing-pages/site/content/en/ecosystem/_index.md | 2 ++
1 file changed, 2 insertions(+)
diff --git a/landing-pages/site/content/en/ecosystem/_index.md b/landing-pages/site/content/en/ecosystem/_index.md
index c99ebdc75e..f43ba49ac1 100644
--- a/landing-pages/site/content/en/ecosystem/_index.md
+++ b/landing-pages/site/content/en/ecosystem/_index.md
@@ -179,6 +179,8 @@ Apache Airflow releases the [Official Apache Airflow Community Chart](https://ai
[Elyra](https://github.com/elyra-ai/elyra) - Elyra provides a visual editor that enables data scientists to create AI pipelines in a low-code/no-code fashion.
+[Flowrs](https://github.com/jvanbuel/flowrs) - Flowrs is a TUI application for Apache Airflow that allows you to monitor, inspect and trigger Airflow DAGs from the comforts of your terminal.
+
[gusty](https://github.com/chriscardillo/gusty) - Create a DAG using any number of YAML, Python, Jupyter Notebook, or R Markdown files that represent individual tasks in the DAG. gusty also configures dependencies, DAGs, and TaskGroups, features support for your local operators, and more. A fully containerized demo is available [here](https://github.com/chriscardillo/gusty-demo).
[Marquez](https://marquezproject.ai) - Marquez is an open source metadata service that maintains data provenance, shows how datasets are consumed and produced and centralizes dataset lifecycle management. Marquez can be used with Apache Airflow as an OpenLineage backend.