diff --git a/.github/workflows/CompatHelper.yml b/.github/workflows/CompatHelper.yml
deleted file mode 100644
index dd821e6..0000000
--- a/.github/workflows/CompatHelper.yml
+++ /dev/null
@@ -1,19 +0,0 @@
-name: CompatHelper
-
-on:
-  schedule:
-    - cron: '00 00 * * *'
-
-jobs:
-  CompatHelper:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: julia-actions/setup-julia@latest
-        with:
-          version: 1.3
-      - name: Pkg.add("CompatHelper")
-        run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
-      - name: CompatHelper.main()
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: julia -e 'using CompatHelper; CompatHelper.main()'
diff --git a/.github/workflows/TagBot.yml b/.github/workflows/TagBot.yml
index d77d3a0..778c06f 100644
--- a/.github/workflows/TagBot.yml
+++ b/.github/workflows/TagBot.yml
@@ -1,9 +1,12 @@
 name: TagBot
 on:
-  schedule:
-    - cron: 0 * * * *
+  issue_comment:
+    types:
+      - created
+  workflow_dispatch:
 jobs:
   TagBot:
+    if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
     runs-on: ubuntu-latest
     steps:
       - uses: JuliaRegistries/TagBot@v1
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 3d6d271..3743a4b 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -4,6 +4,10 @@ on:
     branches: [master]
   pull_request:
     types: [opened, synchronize, reopened]
+# needed to allow julia-actions/cache to delete old caches that it has created
+permissions:
+  actions: write
+  contents: read
 jobs:
   test:
     name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
@@ -11,33 +15,25 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        version: ['1.6', '1']  # Test against LTS and current minor release
+        version: ['1.6', '1']
         os: [ubuntu-latest, macOS-latest, windows-latest]
         arch: [x64]
         include:
-          # Also test against 32-bit Linux on LTS.
-          - version: '1.6'
+          # Also test against 32-bit Linux.
+          - version: '1'
             os: ubuntu-latest
             arch: x86
     steps:
-      - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@v1
+      - uses: actions/checkout@v4
+      - uses: julia-actions/setup-julia@v2
         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/cache@v1
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
       - uses: julia-actions/julia-processcoverage@v1
-      - uses: codecov/codecov-action@v1
+      - uses: codecov/codecov-action@v4
         with:
           file: lcov.info
+          token: ${{ secrets.CODECOV_TOKEN }}
diff --git a/.travis.yml b/.travis.yml
deleted file mode 100644
index a101e03..0000000
--- a/.travis.yml
+++ /dev/null
@@ -1,14 +0,0 @@
-language: julia
-codecov: true
-coveralls: true
-os:
-  - linux
-  - osx
-julia:
-  - 1.0
-  - 1.1
-  - 1.2
-  - 1.3
-  - 1.4
-notifications:
-  email: false
diff --git a/Project.toml b/Project.toml
index 8967c2d..50d9b8c 100644
--- a/Project.toml
+++ b/Project.toml
@@ -20,4 +20,4 @@ Cbc = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test", "Cbc"]
+test = ["Cbc", "Test"]
diff --git a/README.md b/README.md
index 9a4ebba..d11db62 100644
--- a/README.md
+++ b/README.md
@@ -1,18 +1,21 @@
 # PiecewiseLinearOpt
 
-A package for modeling optimization problems containing piecewise linear functions. Current support is for (the graphs of) continuous univariate functions.
+[![Build Status](https://github.com/jump-dev/PiecewiseLinearOpt.jl/workflows/CI/badge.svg?branch=master)](https://github.com/jump-dev/PiecewiseLinearOpt.jl/actions?query=workflow%3ACI)
+[![codecov](https://codecov.io/gh/jump-dev/PiecewiseLinearOpt.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/jump-dev/PiecewiseLinearOpt.jl)
 
-This package is an accompaniment to a paper entitled [_Nonconvex piecewise linear functions: Advanced formulations and simple modeling tools_](https://arxiv.org/abs/1708.00050), by Joey Huchette and Juan Pablo Vielma.
+A package for modeling optimization problems containing piecewise linear
+functions. Current support is for (the graphs of) continuous univariate
+functions.
 
-[![Build Status](https://travis-ci.org/joehuchette/PiecewiseLinearOpt.jl.svg?branch=master)](https://travis-ci.org/joehuchette/PiecewiseLinearOpt.jl)
+This package is an accompaniment to a paper entitled
+[_Nonconvex piecewise linear functions: Advanced formulations and simple modeling tools_](https://arxiv.org/abs/1708.00050),
+by Joey Huchette and Juan Pablo Vielma.
 
-[![Coverage Status](https://coveralls.io/repos/joehuchette/PiecewiseLinearOpt.jl/badge.svg?branch=master&service=github)](https://coveralls.io/github/joehuchette/PiecewiseLinearOpt.jl?branch=master)
+This package offers helper functions for the
+[JuMP algebraic modeling language](https://github.com/jump-dev/JuMP.jl).
 
-[![codecov.io](http://codecov.io/github/joehuchette/PiecewiseLinearOpt.jl/coverage.svg?branch=master)](http://codecov.io/github/joehuchette/PiecewiseLinearOpt.jl?branch=master)
-
-This package offers helper functions for the [JuMP algebraic modeling language](https://github.com/JuliaOpt/JuMP.jl).
-
-Consider a piecewise linear function. The function is described in terms of the breakpoints between pieces, and the function value at those breakpoints.
+Consider a piecewise linear function. The function is described in terms of the
+breakpoints between pieces, and the function value at those breakpoints.
 
 Consider a JuMP model
 
@@ -22,14 +25,18 @@ m = Model()
 @variable(m, x)
 ```
 
-To model the graph of a piecewise linear function ``f(x)``, take ``d`` as some set of breakpoints along the real line, and ``fd = [f(x) for x in d]`` as the corresponding function values. You can model this function in JuMP using the following function:
+To model the graph of a piecewise linear function ``f(x)``, take ``d`` as some
+set of breakpoints along the real line, and ``fd = [f(x) for x in d]`` as the
+corresponding function values. You can model this function in JuMP using the
+following function:
 
 ```julia
 z = piecewiselinear(m, x, d, fd)
 @objective(m, Min, z) # minimize f(x)
 ```
 
-For another example, think of a piecewise linear approximation for for the function $f(x,y) = exp(x+y)$:
+For another example, think of a piecewise linear approximation for the function
+$f(x,y) = exp(x+y)$:
 
 ```julia
 using JuMP, PiecewiseLinearOpt
@@ -41,7 +48,9 @@ z = piecewiselinear(m, x, y, 0:0.1:1, 0:0.1:1, (u,v) -> exp(u+v))
 @objective(m, Min, z)
 ```
 
-Current support is limited to modeling the graph of a continuous piecewise linear function, either univariate or bivariate, with the goal of adding support for the epigraphs of lower semicontinuous piecewise linear functions.
+Current support is limited to modeling the graph of a continuous piecewise
+linear function, either univariate or bivariate, with the goal of adding support
+for the epigraphs of lower semicontinuous piecewise linear functions.
 
 Supported univariate formulations:
 
@@ -60,7 +69,11 @@ Supported bivariate formulations for entire constraint:
 * Multiple choice (``:MC``)
 * Dissaggregated Logarithmic (``:DisaggLogarithmic``)
 
-Also, you can use any univariate formulation for bivariate functions as well. They will be used to impose two axis-aligned SOS2 constraints, along with the "6-stencil" formulation for the triangle selection portion of the constraint. See the associated paper for more details. In particular, the following are also acceptable bivariate formulation choices:
+Also, you can use any univariate formulation for bivariate functions as well.
+They will be used to impose two axis-aligned SOS2 constraints, along with the
+"6-stencil" formulation for the triangle selection portion of the constraint.
+See the associated paper for more details. In particular, the following are also
+acceptable bivariate formulation choices:
 
 * Native SOS2 branching (``:SOS2``)
 * Incremental (``:Incremental``)
diff --git a/appveyor.yml b/appveyor.yml
deleted file mode 100644
index 3d8ea54..0000000
--- a/appveyor.yml
+++ /dev/null
@@ -1,36 +0,0 @@
-environment:
-  matrix:
-  - julia_version: 0.7
-  - julia_version: 1.0
-
-platform:
-  - x86 # 32-bit
-  - x64 # 64-bit
-  
-matrix:
-  allow_failures:
-  - julia_version: 0.7
-    platform: x86
-  - julia_version: 1.0
-    platform: x86
-    
-branches:
-  only:
-    - master
-
-notifications:
-  - provider: Email
-    on_build_success: false
-    on_build_failure: false
-    on_build_status_changed: false
-
-install:
-  - ps: iex ((new-object net.webclient).DownloadString("https://raw.githubusercontent.com/JuliaCI/Appveyor.jl/version-1/bin/install.ps1"))
-
-build_script:
-  - echo "%JL_BUILD_SCRIPT%"
-  - C:\julia\bin\julia -e "%JL_BUILD_SCRIPT%"
-
-test_script:
-  - echo "%JL_TEST_SCRIPT%"
-  - C:\julia\bin\julia -e "%JL_TEST_SCRIPT%"