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 be00585b79 Add the FXMacroData provider to the ecosystem page (#1655)
be00585b79 is described below
commit be00585b79e6825e720c2e92a2d04807a543ed0d
Author: Robert Tidball <[email protected]>
AuthorDate: Fri Sep 18 23:39:24 2026 +1000
Add the FXMacroData provider to the ecosystem page (#1655)
Lists a third-party provider for official macroeconomic, FX and
release-calendar data. The sensor waits for a named indicator to publish
rather
than for a scheduled time, so a DAG can run on the release itself instead of
polling on a guess.
---
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 5c62c5b616..527bf8cda3 100644
--- a/landing-pages/site/content/en/ecosystem/_index.md
+++ b/landing-pages/site/content/en/ecosystem/_index.md
@@ -109,6 +109,8 @@ If you would you like to be included on this page, please
reach out to the [Apac
[Airflow Postgres CSV](https://github.com/Redevil10/airflow-postgres-csv) -
Airflow operators for bulk PostgreSQL ↔ CSV transfers using PostgreSQL's native
`COPY` command. Provides `PostgresToCsvOperator` and `CsvToPostgresOperator`
with support for gzip compression, parameterised queries, and SQL file loading.
Available on [PyPI](https://pypi.org/project/airflow-postgres-csv/).
+[Airflow FXMacroData
Provider](https://github.com/fxmacrodata/airflow-provider-fxmacrodata) -
Provides a Hook, Operators and a Sensor for official macroeconomic, FX and
release-calendar data from
[FXMacroData](https://fxmacrodata.com/?utm_source=airflow&utm_medium=referral&utm_campaign=airflow-provider-fxmacrodata&utm_content=ecosystem).
The Sensor waits for a named indicator to actually publish rather than for a
scheduled time, so a DAG runs on the release itself.
+
[Airflow LDAP Auth
Manager](https://github.com/emredjan/airflow-ldap-auth-manager) - An Auth
Manager for Apache Airflow 3.x that authenticates users against LDAP/Active
Directory and maps LDAP groups to Airflow roles (admin / editor / viewer).
[Airflow Watcher](https://github.com/ram07eng/airflow-watcher) - An Airflow UI
plugin for monitoring DAG failures, SLA misses, task health, scheduling lag,
and cross-DAG dependencies. Includes dashboard views, REST API, and
multi-channel alerting (Slack, PagerDuty, Email) with StatsD and Prometheus
metrics export. Available on [PyPI](https://pypi.org/project/airflow-watcher/).