downgraded, added remove fail fast for testing

Author: lalmei

.github/workflows/continuous-integration.yml

@@ -12,10 +12,11 @@ jobs:
     # runs-on: ubuntu-latest
 
     strategy:
-      max-parallel: 4
+      fail-fast: false
+      max-parallel: 6
       matrix:
         python-version: [3.6, 3.7, 3.8]
-        os: [ubuntu-latest, macOS-latest]
+        os: [ubuntu-18.04, macOS-latest]
 
     steps:
     - uses: actions/checkout@v2
@@ -45,7 +46,7 @@ jobs:
 
     - name: Test & publish code coverage
       if: runner.os == 'ubuntu-latest' && ${{ matrix.python-version }} == 3.8 
-      uses: paambaati/codeclimate-action@v2.7.4
+      uses: paambaati/codeclimate-action@v2.5.0
       env:
         CC_TEST_REPORTER_ID: 5f97bd2b70f7b44c97f3c88d2ecc7b5b25594c1eeacfe16cb6c5edd91e1527bd
 

README.md

@@ -1,11 +1,16 @@
 # whylogs Library
+[![License](http://img.shields.io/:license-Apache%202-blue.svg)](https://github.com/whylabs/whylogs-python/blob/mainline/LICENSE)
 [![PyPI version](https://badge.fury.io/py/whylogs.svg)](https://badge.fury.io/py/whylogs)
 [![Python Version](https://img.shields.io/pypi/pyversions/whylogs)](https://pypi.org/project/whylogs/)
-[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4490/badge)](https://bestpractices.coreinfrastructure.org/projects/4490)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
-[![License](http://img.shields.io/:license-Apache%202-blue.svg)](https://github.com/whylabs/whylogs-python/blob/mainline/LICENSE)
+[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4490/badge)](https://bestpractices.coreinfrastructure.org/projects/4490)
 [![PyPi Downloads](https://pepy.tech/badge/whylogs)](https://pepy.tech/project/whylogs)
 
+![CI](https://github.com/whylabs/whylogs-python/workflows/whylogs%20CI/badge.svg)
+[![Maintainability](https://api.codeclimate.com/v1/badges/442f6ca3dca1e583a488/maintainability)](https://codeclimate.com/github/whylabs/whylogs-python/maintainability)
+
+
+
 This is a Python implementation of whylogs. The Java implementation can be found [here](https://github.com/whylabs/whylogs-java).
 
 Understanding the properties of data as it moves through applications is essential to keeping your ML/AI pipeline stable