From 2726e553fd22ac3344793c6c53d12a4db1870686 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pedro=20Gabriel=20Gengo=20Louren=C3=A7o?= Date: Fri, 29 Oct 2021 12:17:28 -0300 Subject: [PATCH] DOC: Add kedro-airflow-k8s plugin to list of Community Developed Plugins (#1005) --- docs/source/07_extend_kedro/04_plugins.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/07_extend_kedro/04_plugins.md b/docs/source/07_extend_kedro/04_plugins.md index d1fbeb87eb..1a4641a101 100644 --- a/docs/source/07_extend_kedro/04_plugins.md +++ b/docs/source/07_extend_kedro/04_plugins.md @@ -179,3 +179,4 @@ See the full list of plugins using the GitHub tag [kedro-plugin](https://github. - [kedro-mlflow](https://github.com/Galileo-Galilei/kedro-mlflow), by [Yolan Honoré-Rougé](https://github.com/galileo-galilei), and [Takieddine Kadiri](https://github.com/takikadiri) facilitates [Mlflow](https://www.mlflow.org/) integration inside Kedro projects while enforcing [Kedro's principles](https://kedro.readthedocs.io/en/stable/12_faq/01_faq.html#what-are-the-primary-advantages-of-kedro). Its main features are modular configuration, automatic parameters tracking, datasets versioning, Kedro pipelines packaging and serving and automatic synchronization between training and inference pipelines for high reproducibility of machine learning experiments and ease of deployment. A tutorial is provided in the [kedro-mlflow-tutorial repo](https://github.com/Galileo-Galilei/kedro-mlflow-tutorial). You can find more information in [the documentation](https://kedro-mlflow.readthedocs.io/en/stable/). - [kedro-neptune](https://github.com/neptune-ai/kedro-neptune), by [Jakub Czakon](https://github.com/jakubczakon) and [Rafał Jankowski](https://github.com/Raalsky), lets you have all the benefits of a nicely organized Kedro pipeline with Neptune: a powerful user interface built for ML metadata management. You can find more information in [the documentation](https://docs.neptune.ai/integrations-and-supported-tools/automation-pipelines/kedro). - [kedro-dolt](https://www.dolthub.com/blog/2021-06-16-kedro-dolt-plugin/), [Max Hoffman](https://github.com/max-hoffman) and [Oscar Batori](https://github.com/oscarbatori), a plugin that allows you to expand the data versioning abilities of data scientists and engineers. +- [kedro-airflow-k8s](https://github.com/getindata/kedro-airflow-k8s), [GetInData](https://github.com/getindata), a plugin that enable running a Kedro pipeline with Airflow on Kubernetes Cluster.