diff --git a/Cargo.toml b/Cargo.toml
index cc757b0..9a93398 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -10,14 +10,14 @@ license = "Apache-2.0/MIT"
 categories = ["data-structures"]
 
 [features]
-bincode = ["dep:bincode", "vob/bincode", "packedvec/bincode"]
+wincode = ["dep:wincode", "vob/wincode", "packedvec/wincode"]
 serde = ["dep:serde", "vob/serde", "packedvec/serde"]
 
 [dependencies]
-vob = { version="3.0.4" }
-packedvec = { version="1.2.5" }
+vob = { version="4.0" }
+packedvec = { version="2.0" }
 serde = { version="1.0", features=["derive"], optional=true }
-bincode = { version="2.0", features=["derive"], optional=true }
+wincode = { version="0.5.5", features=["derive"], optional=true }
 num-traits = "0.2"
 
 [dev-dependencies]
diff --git a/src/lib.rs b/src/lib.rs
index 08bb460..1fa01bb 100644
--- a/src/lib.rs
+++ b/src/lib.rs
@@ -1,12 +1,12 @@
 #![allow(clippy::many_single_char_names)]
 
-#[cfg(feature = "bincode")]
-use bincode::{Decode, Encode};
 use num_traits::{AsPrimitive, FromPrimitive, PrimInt, ToPrimitive, Unsigned};
 use packedvec::PackedVec;
 #[cfg(feature = "serde")]
 use serde::{Deserialize, Serialize};
 use vob::Vob;
+#[cfg(feature = "wincode")]
+use wincode::{SchemaRead, SchemaWrite};
 
 /// A SparseVec efficiently encodes a two-dimensional matrix of integers. The input matrix must be
 /// encoded as a one-dimensional vector of integers with a row-length. Given an "empty" value, the
@@ -62,7 +62,7 @@ use vob::Vob;
 /// value = c[pos] // =3
 /// ```
 #[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
-#[cfg_attr(feature = "bincode", derive(Encode, Decode))]
+#[cfg_attr(feature = "wincode", derive(SchemaRead, SchemaWrite))]
 #[derive(Debug)]
 pub struct SparseVec<T> {
     displacement: Vec<usize>, // Displacement vector