diff --git a/DESCRIPTION b/DESCRIPTION
index ebd01913c..7a54a3604 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -68,8 +68,7 @@ Imports:
     mlr3 (>= 0.20.0),
     mlr3misc (>= 0.17.0),
     paradox (>= 1.0.0),
-    R6,
-    withr
+    R6
 Suggests:
     ggplot2,
     glmnet,
diff --git a/NAMESPACE b/NAMESPACE
index db5044844..7d18e1f4f 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -240,4 +240,3 @@ importFrom(stats,setNames)
 importFrom(utils,bibentry)
 importFrom(utils,head)
 importFrom(utils,tail)
-importFrom(withr,with_options)
diff --git a/R/Graph.R b/R/Graph.R
index a358fa33b..98407c498 100644
--- a/R/Graph.R
+++ b/R/Graph.R
@@ -205,13 +205,13 @@ Graph = R6Class("Graph",
       assert_choice(src_id, names(self$pipeops))
       assert_choice(dst_id, names(self$pipeops))
       if (is.null(src_channel)) {
-        if (length(self$pipeops[[src_id]]$output$name) > 1) {
+        if (length(self$pipeops[[src_id]]$output$name) > 1L) {
           stopf("src_channel must not be NULL if src_id pipeop has more than one output channel.")
         }
         src_channel = 1L
       }
       if (is.null(dst_channel)) {
-        if (length(self$pipeops[[dst_id]]$input$name) > 1) {
+        if (length(self$pipeops[[dst_id]]$input$name) > 1L) {
           stopf("dst_channel must not be NULL if dst_id pipeop has more than one input channel.")
         }
         dst_channel = 1L
@@ -225,7 +225,7 @@ Graph = R6Class("Graph",
         src_channel = self$pipeops[[src_id]]$output$name[src_channel]
       }
       assert(
-        check_integerish(dst_channel, lower = 1,
+        check_integerish(dst_channel, lower = 1L,
           upper = nrow(self$pipeops[[dst_id]]$input), any.missing = FALSE),
         check_choice(dst_channel, self$pipeops[[dst_id]]$input$name)
       )
@@ -283,7 +283,7 @@ Graph = R6Class("Graph",
         df = self$edges[, list(from = src_id, to = dst_id)]
         df = rbind(df, self$input[, list(from = "<INPUT>", to = op.id)])
         output = self$output
-        if (nrow(output) > 1) {
+        if (nrow(output) > 1L) {
           # In case we have multiple outputs, we add an output for every final node
           df = rbind(df, output[, list(from = op.id, to = paste0("<OUTPUT>\n", name))])
         } else {
@@ -309,7 +309,7 @@ Graph = R6Class("Graph",
           if (node == "<INPUT>") {
             txt = paste0("Input:<br>Name: ", self$input$name, "<br>Train: ", null_str(self$input$train), "<br>Predict: ", null_str(self$input$predict))
           } else if (grepl("<OUTPUT>", node)) {
-            if (nrow(self$output) > 1) {
+            if (nrow(self$output) > 1L) {
               out = self$output[self$output$name == gsub("<OUTPUT>\n", "", node), ]  # Deal with multiple outputs
             } else {
               out = self$output  # Standard case, single output
@@ -342,8 +342,8 @@ Graph = R6Class("Graph",
         if (horizontal) {
           layout = -layout[, 2:1]
         }
-        layout[, 1] = layout[, 1] * .75
-        layout[, 2] = layout[, 2] * .75
+        layout[, 1L] = layout[, 1L] * .75
+        layout[, 2L] = layout[, 2L] * .75
 
         defaultargs = list(vertex.shape = "crectangle", vertex.size = 60, vertex.size2 = 15 * 2.5, vertex.color = 0,
           xlim = range(layout[, 1]) + c(-0.3, 0.3),
@@ -407,7 +407,7 @@ Graph = R6Class("Graph",
         # print table <id>, <state>, where <state> is `class(pipeop$state)`
         lines = rbindlist(map(self$pipeops[self$ids(sorted = TRUE)], function(pipeop) {
           data.table(ID = pipeop$id, State = sprintf("<%s>",
-            map_values(class(pipeop$state)[1], "NULL", "<UNTRAINED>")))
+            map_values(class(pipeop$state)[1L], "NULL", "<UNTRAINED>")))
         }), use.names = TRUE)
         if (nrow(lines)) {
           prd = self$edges[, list(prdcssors = paste(unique(src_id), collapse = ",")), by = list(ID = dst_id)]
@@ -420,9 +420,9 @@ Graph = R6Class("Graph",
           outwidth = getOption("width") %??% 80  # output width we want (default 80)
           colwidths = map_int(lines, function(x) max(nchar(x), na.rm = TRUE))  # original width of columns
           collimit = calculate_collimit(colwidths, outwidth)
-          with_options(list(datatable.prettyprint.char = collimit), {
-            print(lines, row.names = FALSE)
-          })
+          opts = options(datatable.prettyprint.char = collimit)
+          on.exit(options(opts), add = TRUE)
+          print(lines, row.names = FALSE)
         } else {
           cat("Empty Graph.\n")
         }
@@ -436,7 +436,7 @@ Graph = R6Class("Graph",
     set_names = function(old, new) {
       ids = names2(self$pipeops)
       assert_subset(old, ids)
-      assert_character(new, any.missing = FALSE, min.chars = 1)
+      assert_character(new, any.missing = FALSE, min.chars = 1L)
       new_ids = map_values(ids, old, new)
       names(self$pipeops) = new_ids
       imap(self$pipeops, function(x, nn) x$id = nn)
@@ -465,8 +465,8 @@ Graph = R6Class("Graph",
     },
 
     help = function(help_type = getOption("help_type")) {
-      parts = strsplit(self$man, split = "::", fixed = TRUE)[[1]]
-      match.fun("help")(parts[[2]], package = parts[[1]], help_type = help_type)
+      parts = strsplit(self$man, split = "::", fixed = TRUE)[[1L]]
+      match.fun("help")(parts[[2L]], package = parts[[1L]], help_type = help_type)
     }
   ),
 
@@ -549,8 +549,8 @@ graph_channels = function(ids, channels, pipeops, direction) {
     df$op.id = po$id
     df = df[rows,
       c("name", "train", "predict", "op.id", "name")]
-    df[[1]] = paste0(po$id, ".", df[[1]])
-    names(df)[5] = "channel.name"
+    df[[1L]] = paste0(po$id, ".", df[[1L]])
+    names(df)[5L] = "channel.name"
     df
   })
 
@@ -606,12 +606,12 @@ graph_reduce = function(self, input, fun, single_input) {
   # inputs differs from the number of channels -- theoretically, there could be two varargs, one
   # getting two inputs, the other none.
   if (!single_input && "..." %in% graph_input$channel.name) {
-    if (sum("..." == graph_input$channel.name) != 1 && is.null(names(input))) {
+    if (sum("..." == graph_input$channel.name) != 1L && is.null(names(input))) {
       stop("Ambiguous distribution of inputs to vararg channels.\nAssigning more than one input to vararg channels when there are multiple vararg inputs does not work.\nYou can try using a named input list. Vararg elements must be named '<pipeopname>....' (with four dots).")
     }
     # repeat the "..." as often as necessary
     if (is.null(names(input))) {
-      repeats = ifelse(graph_input$channel.name == "...", length(input) - nrow(graph_input) + 1, 1)
+      repeats = ifelse(graph_input$channel.name == "...", length(input) - nrow(graph_input) + 1L, 1L)
     } else {
       repeats = nafill(as.numeric(table(names(input))[graph_input$name]), fill = 0)
     }
@@ -709,7 +709,7 @@ graph_load_namespaces = function(self, info) {
       NULL
     }, error = function(e) {
       sprintf("Error loading package %s (required by %s):\n    %s",
-        package, str_collapse(pipeops, n = 4), e$message)
+        package, str_collapse(pipeops, n = 4L), e$message)
     })
   })
   errors = discard(errors, is.null)
@@ -725,7 +725,7 @@ predict.Graph = function(object, newdata, ...) {
     stop("Cannot predict, Graph has not been trained yet")
   }
   output = object$output
-  if (nrow(output) != 1) {
+  if (nrow(output) != 1L) {
     stop("Graph has more than one output channel")
   }
   if (!are_types_compatible(output$predict, "Prediction")) {
@@ -751,7 +751,7 @@ predict.Graph = function(object, newdata, ...) {
     )
   }
   result = object$predict(newdata)
-  assert_list(result, types = "Prediction", any.missing = FALSE, len = 1)
+  assert_list(result, types = "Prediction", any.missing = FALSE, len = 1L)
   result = result[[1]]
   if (plain) {
     result = result$data$response %??% result$data$prob
diff --git a/R/zzz.R b/R/zzz.R
index aa22f4970..5502f1600 100644
--- a/R/zzz.R
+++ b/R/zzz.R
@@ -6,7 +6,6 @@
 #' @importFrom R6 R6Class
 #' @importFrom utils tail head
 #' @importFrom digest digest
-#' @importFrom withr with_options
 #' @importFrom stats setNames
 "_PACKAGE"