diff --git a/.travis.yml b/.travis.yml
index 47e7ac7f..0ac11b69 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -5,7 +5,8 @@ os:
   - osx
 julia:
   - 1.0
-  - 1.1
+  - 1.2
+  - 1.3
   - nightly
 notifications:
   email: false
diff --git a/Project.toml b/Project.toml
index e4aa578c..adde3045 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,11 +1,11 @@
 name = "Nabla"
 uuid = "49c96f43-aa6d-5a04-a506-44c7070ebe78"
-version = "0.12.1"
+version = "0.12.2"
 
 [deps]
 DiffRules = "b552c78f-8df3-52c6-915a-8e097449b14b"
 DualNumbers = "fa6b7ba4-c1ee-5f82-b5fc-ecf0adba8f74"
-FDM = "e25cca7e-83ef-51fa-be6c-dfe2a3123128"
+FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -13,7 +13,7 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 [compat]
 DiffRules = "^0.0"
 DualNumbers = ">=0.6.0"
-FDM = "^0.6"
+FiniteDifferences = "0.7, 0.8"
 SpecialFunctions = ">=0.5.0"
 julia = "^1.0"
 
diff --git a/docs/Project.toml b/docs/Project.toml
index 53bc6f84..4e3e5a75 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -1,5 +1,6 @@
 [deps]
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+Nabla = "49c96f43-aa6d-5a04-a506-44c7070ebe78"
 
 [compat]
 Documenter = "~0.19"
diff --git a/docs/src/pages/custom.md b/docs/src/pages/custom.md
index 3cbacf40..025121c4 100644
--- a/docs/src/pages/custom.md
+++ b/docs/src/pages/custom.md
@@ -152,7 +152,7 @@ of the documentation.
 In order to ensure correctness for custom sensitivity definitions, we can compare the
 results against those computed by the method of finite differences.
 The finite differencing itself is implemented in the Julia package
-[FDM](https://github.com/invenia/FDM.jl), but Nabla defines and exports functionality
+[FiniteDifferences.jl](https://github.com/juliadiff/FiniteDifferences.jl), but Nabla defines and exports functionality
 that permits checking results against finite differencing.
 
 The primary workhorse function for this is `check_errs`.
diff --git a/src/finite_differencing.jl b/src/finite_differencing.jl
index b4ae98b5..b396c837 100644
--- a/src/finite_differencing.jl
+++ b/src/finite_differencing.jl
@@ -1,4 +1,4 @@
-using FDM
+using FiniteDifferences
 
 export check_Dv, check_Dv_update, check_errs,
        assert_approx_equal, domain1, domain2, points, in_domain
@@ -21,7 +21,7 @@ function approximate_Dv(
     x::Tuple{Vararg{∇ArrayOrScalar}},
     v::Tuple{Vararg{∇ArrayOrScalar}}
 )
-    return FDM.Central(5, 1)(ε -> sum(ȳ .* f((x .+ ε .* v)...)))
+    return FiniteDifferences.Central(5, 1)(ε -> sum(ȳ .* f((x .+ ε .* v)...)))
 end
 
 approximate_Dv(f, ȳ::∇ArrayOrScalar, x::∇ArrayOrScalar, v::∇ArrayOrScalar) =