From b020ebfd21625b402bca199db10e5adef2764767 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Li=CC=81ki=C3=B0=20Geimfari?= Date: Sat, 18 May 2019 13:32:00 +0300 Subject: [PATCH] Validate README.rst markup --- README.rst | 60 +++++++++++++++++++++++++++--------------------------- 1 file changed, 30 insertions(+), 30 deletions(-) diff --git a/README.rst b/README.rst index a97df9283..88e93636e 100755 --- a/README.rst +++ b/README.rst @@ -1,42 +1,42 @@ -.. image:: https://raw.githubusercontent.com/lk-geimfari/mimesis/master/media/readme-logo.png - :target: https://github.com/lk-geimfari/mimesis +Mimesis - Fake Data Generator +----------------------------- | -.. raw:: html - -
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- Mimesis - Fake Data Generator -
- -- Browse the docs -- -
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- - Travis CI - - - AppVeyor - - - Documentation Status - - - Code Coverage - - - Package version - - - Python version - -

+.. image:: https://raw.githubusercontent.com/lk-geimfari/mimesis/master/media/readme-logo.png + :target: https://github.com/lk-geimfari/mimesis | Description ----------- +.. image:: https://travis-ci.org/lk-geimfari/mimesis.svg?branch=master + :target: https://travis-ci.org/lk-geimfari/mimesis + :alt: Travi CI + +.. image:: https://ci.appveyor.com/api/projects/status/chj8huslvn6vde18?svg=true + :target: https://ci.appveyor.com/project/lk-geimfari/mimesis + :alt: AppVeyor CI + +.. image:: https://readthedocs.org/projects/mimesis/badge/?version=latest + :target: https://mimesis.name/ + :alt: Documentation Status + +.. image:: https://codecov.io/gh/lk-geimfari/mimesis/branch/master/graph/badge.svg + :target: https://codecov.io/gh/lk-geimfari/mimesis + :alt: Code Coverage + +.. image:: https://badge.fury.io/py/mimesis.svg + :target: https://badge.fury.io/py/mimesis + :alt: Package version + +.. image:: https://img.shields.io/badge/python-3.6%20%7C%203.7-brightgreen.svg + :target: https://badge.fury.io/py/mimesis + :alt: Python version + + + Mimesis is a package for Python, which helps generate big volumes of fake data for a variety of purposes in a variety of languages. The fake data could be used to populate a testing database, create beautiful JSON and XML files, anonymize data taken from production and etc.