[ https://issues.apache.org/jira/browse/AIRFLOW-3028?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16608501#comment-16608501 ]
ASF GitHub Bot commented on AIRFLOW-3028: ----------------------------------------- r39132 closed pull request #3865: [AIRFLOW-3028] Update Text & Images in Readme.md URL: https://github.com/apache/incubator-airflow/pull/3865 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from a fork), the diff is supplied below (as it won't show otherwise due to GitHub magic): diff --git a/README.md b/README.md index 98ecc71355..cebf611fed 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Airflow +# Apache Airflow (Incubating) [![PyPI version](https://badge.fury.io/py/apache-airflow.svg)](https://badge.fury.io/py/apache-airflow) [![Build Status](https://travis-ci.org/apache/incubator-airflow.svg?branch=master)](https://travis-ci.org/apache/incubator-airflow) @@ -8,20 +8,14 @@ [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/apache-airflow.svg)](https://pypi.org/project/apache-airflow/) [![Join the chat at https://gitter.im/apache/incubator-airflow](https://badges.gitter.im/apache/incubator-airflow.svg)](https://gitter.im/apache/incubator-airflow?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) -_NOTE: The transition from 1.8.0 (or before) to 1.8.1 (or after) requires uninstalling Airflow before installing the new version. The package name was changed from `airflow` to `apache-airflow` as of version 1.8.1._ +_NOTE: The transition from 1.8.0 (or before) to 1.8.1 (or after) requires uninstalling Apache Airflow before installing the new version. The package name was changed from `airflow` to `apache-airflow` as of version 1.8.1._ -Airflow is a platform to programmatically author, schedule, and monitor -workflows. +Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. -Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. -The Airflow scheduler executes your tasks on an array of workers while -following the specified dependencies. Rich command line utilities make -performing complex surgeries on DAGs a snap. The rich user interface -makes it easy to visualize pipelines running in production, -monitor progress, and troubleshoot issues when needed. +Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. ## Getting started @@ -51,7 +45,7 @@ unit of work and continuity. - **Dynamic**: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. - **Extensible**: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment. - **Elegant**: Airflow pipelines are lean and explicit. Parameterizing your scripts is built into the core of Airflow using the powerful **Jinja** templating engine. -- **Scalable**: Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. +- **Scalable**: Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. ## User Interface @@ -85,9 +79,9 @@ unit of work and continuity. Want to help build Apache Airflow? Check out our [contributing documentation](https://github.com/apache/incubator-airflow/blob/master/CONTRIBUTING.md). -## Who uses Airflow? +## Who uses Apache Airflow? -As the Airflow community grows, we'd like to keep track of who is using +As the Apache Airflow community grows, we'd like to keep track of who is using the platform. Please send a PR with your company name and @githubhandle if you may. @@ -288,10 +282,9 @@ Currently **officially** using Airflow: 1. [Zymergen](https://www.zymergen.com/) 1. [99](https://99taxis.com) [[@fbenevides](https://github.com/fbenevides), [@gustavoamigo](https://github.com/gustavoamigo) & [@mmmaia](https://github.com/mmmaia)] -## Who Maintains Airflow? +## Who Maintains Apache Airflow? -Airflow is the work of the -[community](https://github.com/apache/incubator-airflow/graphs/contributors), +Airflow is the work of the [community](https://github.com/apache/incubator-airflow/graphs/contributors), but the [core committers/maintainers](https://people.apache.org/committers-by-project.html#airflow) are responsible for reviewing and merging PRs as well as steering conversation around new feature requests. 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To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > Update Text & Images in Readme.md > --------------------------------- > > Key: AIRFLOW-3028 > URL: https://issues.apache.org/jira/browse/AIRFLOW-3028 > Project: Apache Airflow > Issue Type: Improvement > Reporter: Siddharth Anand > Assignee: Siddharth Anand > Priority: Minor > > The images in the Readme are more than 4 years old and no longer reflect the > look and feel of the project. Additionally, I'm updating the readme to > reference Airflow as Apache Airflow in a few places. This Readme.md has not > changed in these areas since it was originally ported from Airbnb. -- This message was sent by Atlassian JIRA (v7.6.3#76005)