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new 7408c9a Add Meltano to ecosystem page (#376)
7408c9a is described below
commit 7408c9a15e9a346c3e922fc384ba62d961ad5a33
Author: Douwe Maan <[email protected]>
AuthorDate: Tue Feb 2 16:15:01 2021 -0600
Add Meltano to ecosystem page (#376)
---
landing-pages/site/content/en/ecosystem/_index.md | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/landing-pages/site/content/en/ecosystem/_index.md
b/landing-pages/site/content/en/ecosystem/_index.md
index b83ffbf..9cdcee8 100644
--- a/landing-pages/site/content/en/ecosystem/_index.md
+++ b/landing-pages/site/content/en/ecosystem/_index.md
@@ -47,6 +47,8 @@ If you would you like to be included on this page, please
reach out to the [Apac
[afctl](https://github.com/qubole/afctl) - A CLI tool that includes everything
required to create, manage and deploy airflow projects faster and smoother.
+[airflow-aws-executors](https://github.com/aelzeiny/airflow-aws-executors) -
Run Airflow Tasks directly on AWS Batch, AWS Fargate, or AWS ECS; provisioning
less infra is more.
+
[airflow-code-editor](https://github.com/andreax79/airflow-code-editor) - A
plugin for Apache Airflow that allows you to edit DAGs in browser.
[airflow-diagrams](https://github.com/feluelle/airflow-diagrams) -
Auto-generated Diagrams from Airflow DAGs
@@ -77,10 +79,10 @@ If you would you like to be included on this page, please
reach out to the [Apac
[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).
+[Meltano](https://www.meltano.com/) - Open source, self-hosted, CLI-first,
debuggable, and extensible ELT tool that embraces
[Singer](https://www.singer.io) for extraction and loading, leverages
[dbt](https://www.getdbt.com) for transformation, and [integrates with Airflow
for orchestration](https://meltano.com/#orchestration).
+
[Oozie to Airflow](https://github.com/GoogleCloudPlatform/oozie-to-airflow) -
A tool to easily convert between [Apache Oozie](http://oozie.apache.org/)
workflows and Apache Airflow workflows.
[Pylint-Airflow](https://github.com/BasPH/pylint-airflow) - A Pylint plugin
for static code analysis on Airflow code.
[whirl](https://github.com/godatadriven/whirl) - Fast iterative local
development and testing of Apache Airflow workflows.
-
-[airflow-aws-executors](https://github.com/aelzeiny/airflow-aws-executors) -
Run Airflow Tasks directly on AWS Batch, AWS Fargate, or AWS ECS; provisioning
less infra is more.
