diff --git a/README.md b/README.md index 1f42e60..dff3b76 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,16 @@ # sharepa -```master``` build status: [![Build Status](https://travis-ci.org/fabianvf/sharepa.svg?branch=master)](https://travis-ci.org/fabianvf/sharepa) +```master``` build status: [![Build Status](https://travis-ci.org/CenterForOpenScience/sharepa.svg?branch=master)](https://travis-ci.org/CenterForOpenScience/sharepa) -```develop``` build status: [![Build Status](https://travis-ci.org/fabianvf/sharepa.svg?branch=develop)](https://travis-ci.org/fabianvf/sharepa) +```develop``` build status: [![Build Status](https://travis-ci.org/CenterForOpenScience/sharepa.svg?branch=develop)](https://travis-ci.org/CenterForOpenScience/sharepa) -[![Coverage Status](https://coveralls.io/repos/fabianvf/sharepa/badge.svg?branch=develop)](https://coveralls.io/r/fabianvf/sharepa?branch=develop) +[![Coverage Status](https://coveralls.io/repos/CenterForOpenScience/sharepa/badge.svg?branch=develop)](https://coveralls.io/r/CenterForOpenScience/sharepa?branch=develop) [![Code Climate](https://codeclimate.com/github/fabianvf/sharepa/badges/gpa.svg)](https://codeclimate.com/github/fabianvf/sharepa) -A python client for browsing and analyzing SHARE data (https://osf.io/share), gathered with scrAPI (https://github.com/fabianvf/scrapi). It builds heavily (almost completely) on the [elasticsearch-dsl](https://github.com/elastic/elasticsearch-dsl-py) package for handling Elasticsearch querying and aggregations, and contains some additional utilities to help with graphing and analyzing the data. +A python client for browsing and analyzing SHARE data (https://osf.io/share), gathered with scrAPI (https://github.com/CenterForOpenScience/scrapi). It builds heavily (almost completely) on the [elasticsearch-dsl](https://github.com/elastic/elasticsearch-dsl-py) package for handling Elasticsearch querying and aggregations, and contains some additional utilities to help with graphing and analyzing the data. ## Installation You can install sharepa using pip: