Move CI to Github Actions

Author: dlfivefifty

.github/workflows/ci.yml

@@ -0,0 +1,42 @@
+name: CI
+on:
+  - push
+  - pull_request
+jobs:
+  test:
+    name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        version:
+          - '1.5'
+          - '^1.6.0-0'
+        os:
+          - ubuntu-latest
+          - macOS-latest
+          - windows-latest
+        arch:
+          - x64
+    steps:
+      - uses: actions/checkout@v2
+      - uses: julia-actions/setup-julia@v1
+        with:
+          version: ${{ matrix.version }}
+          arch: ${{ matrix.arch }}
+      - uses: actions/cache@v1
+        env:
+          cache-name: cache-artifacts
+        with:
+          path: ~/.julia/artifacts
+          key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
+          restore-keys: |
+            ${{ runner.os }}-test-${{ env.cache-name }}-
+            ${{ runner.os }}-test-
+            ${{ runner.os }}-
+      - uses: julia-actions/julia-buildpkg@v1
+      - uses: julia-actions/julia-runtest@v1
+      - uses: julia-actions/julia-processcoverage@v1
+      - uses: codecov/codecov-action@v1
+        with:
+          file: lcov.info

.travis.yml

@@ -1,6 +1,7 @@
 # MultivariateOrthogonalPolynomials.jl
 
-[![Build Status](https://travis-ci.org/JuliaApproximation/MultivariateOrthogonalPolynomials.jl.svg?branch=master)](https://travis-ci.org/JuliaApproximation/MultivariateOrthogonalPolynomials.jl)
+[![Build Status](https://github.com/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/workflows/CI/badge.svg)](https://github.com/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/actions)
+[![codecov](https://codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl)
 
 This is an experimental package to add support for multivariate orthogonal polynomials on disks, spheres, triangles, and other simple
 geometries to [ContinuumArrays.jl](https://github.com/JuliaApproximation/ContinuumArrays.jl). At the moment it primarily supports triangles. For example,