diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index b9001da..b7ca303 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -10,7 +10,7 @@ jobs:
   build:
     runs-on: ubuntu-latest
     env:
-      PYTHON: ""
+      JULIA_NUM_THREADS: 1
 
     steps:
       - uses: actions/checkout@v2
diff --git a/CondaPkg.toml b/CondaPkg.toml
new file mode 100644
index 0000000..27874ab
--- /dev/null
+++ b/CondaPkg.toml
@@ -0,0 +1,8 @@
+[deps]
+python = ""
+colorcet = ""
+tkinter = ""
+
+[pip.deps]
+# Conda package names and versions
+seiscm = ""
diff --git a/Project.toml b/Project.toml
index 0d72277..e66972c 100644
--- a/Project.toml
+++ b/Project.toml
@@ -5,12 +5,14 @@ version = "1.0.0"
 
 [deps]
 ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
+CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
 PythonPlot = "274fc56d-3b97-40fa-a1cd-1b4a50311bf9"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 ColorSchemes = "3"
-PythonPlot = "1.0.5"
+CondaPkg = "0.2"
+PythonPlot = "1.0"
 Reexport = "1"
 julia = "1"
diff --git a/deps/build.jl b/deps/build.jl
new file mode 100644
index 0000000..5b25dfa
--- /dev/null
+++ b/deps/build.jl
@@ -0,0 +1,14 @@
+using PythonPlot
+
+deps = ("colorcet", "seiscm")
+
+function install_pkg(pkg)
+    if get(ENV, "JULIA_CONDAPKG_BACKEND", "conda") == "Null"
+        pyexe = PythonPlot.PythonCall.python_executable_path()
+        run(Cmd(`$(pyexe) -m pip install --user $(pkg)`))
+    end
+end
+
+for pkg in deps
+    install_pkg(pkg)
+end
\ No newline at end of file
diff --git a/docs/Project.toml b/docs/Project.toml
index 6b7d759..ff71bab 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -2,7 +2,7 @@
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8"
 JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
-PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
+PythonPlot = "274fc56d-3b97-40fa-a1cd-1b4a50311bf9"
 SegyIO = "157a0f19-4d44-4de5-a0d0-07e2f0ac4dfa"
 Weave = "44d3d7a6-8a23-5bf8-98c5-b353f8df5ec9"
 
diff --git a/examples/plot_example.jl b/examples/plot_example.jl
index 28cd66b..d80402d 100644
--- a/examples/plot_example.jl
+++ b/examples/plot_example.jl
@@ -173,7 +173,8 @@ display(gcf());
 
 # Wiggle plot
 
-# figure(figsize=(5, 5))
-# subplot(111)
-# wiggle_plot(shot[1:5:end, 1:10:end], xloc[1:10:end], 0:0.02:4.6; new_fig=false)
-# tight_layout();display(gcf())
+figure(figsize=(5, 5))
+subplot(111)
+wiggle_plot(shot[1:5:end, 1:10:end], xloc[1:10:end], 0:0.02:4.6; new_fig=false)
+tight_layout();
+display(gcf())
diff --git a/src/SlimPlotting.jl b/src/SlimPlotting.jl
index 017533e..eb01099 100644
--- a/src/SlimPlotting.jl
+++ b/src/SlimPlotting.jl
@@ -4,34 +4,14 @@ using Statistics, ColorSchemes, Reexport
 @reexport using PythonPlot
 
 const cc = PythonPlot.PythonCall.pynew()
-scm = Dict()
-
-
-function tryimport(pkg::String)
-    pyi = try
-        PythonPlot.pyimport(pkg)
-    catch e
-        if get(ENV, "JULIA_CONDAPKG_BACKEND", "conda") == "Null"
-            pyexe = PythonPlot.python_executable_path()
-            run(Cmd(`$(pyexe) -m pip install --user $(pkg)`))
-        else
-            PythonPlot.PythonCall.C.CondaPkg.add_pip(pkg)
-        end
-        PythonPlot.pyimport(pkg)
-    end
-    return pyi
-end
-
+const scm = PythonPlot.PythonCall.pynew()
 
 function __init__()
-    # import seiscm
-    scmp = tryimport("seiscm")
-    global scm["seismic"] = scmp.seismic()
-    global scm["bwr"] = scmp.bwr()
-    global scm["phase"] = scmp.phase()
-    global scm["frequency"] = scmp.frequency()
+    ccall(:jl_generating_output, Cint, ()) == 1 && return nothing
     # Import colorcet
-    PythonPlot.PythonCall.pycopy!(cc, tryimport("colorcet"))
+    PythonPlot.PythonCall.pycopy!(cc, PythonPlot.pyimport("colorcet"))
+    # Import SeisCM
+    PythonPlot.PythonCall.pycopy!(scm, PythonPlot.pyimport("seiscm"))
 end
 
 export plot_fslice, plot_velocity, plot_simage, plot_sdata, wiggle_plot, compare_shots
@@ -49,8 +29,8 @@ to_symbol(x) = x
 
 Return the colormap `name` for seiscm. These colormap are preimported as a dictionnary
 """
-seiscm(s::Symbol) = scm[to_string(s)]
-seiscm(s::String) = scm[s]
+seiscm(s::Symbol) = seiscm(to_string(s))
+seiscm(s::String) = PythonPlot.pygetattr(scm, s)()
 
 """
     _plot_with_units(image, spacing; perc=95, cmap=:cet_CET_L1,