diff --git a/pixi.lock b/pixi.lock
index 00c3b7ca7..d488a3798 100644
--- a/pixi.lock
+++ b/pixi.lock
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       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/sklearn-compat-0.1.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/snappy-1.2.1-h98b9ce2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tensorboard-2.17.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tensorboard-data-server-0.7.0-py312h5fad481_2.conda
@@ -7951,12 +7898,11 @@ packages:
 - pypi: .
   name: imbalanced-learn
   version: 0.14.dev0
-  sha256: 91f931282109af0ce0a520c8da4966d5071081cc83a72f6b188290a48a60e14f
+  sha256: d47809f9d4b12989f9ab0239e7ec1aa3b89163f534fff54c44bd46726f1cac0b
   requires_dist:
   - numpy>=1.24.3,<3
   - scipy>=1.10.1,<2
   - scikit-learn>=1.3.2,<2
-  - sklearn-compat>=0.1,<1
   - joblib>=1.1.1,<2
   - threadpoolctl>=2.0.0,<4
   - ipykernel ; extra == 'dev'
@@ -12436,6 +12382,28 @@ packages:
   - pkg:pypi/numpy?source=hash-mapping
   size: 8973279
   timestamp: 1733688742678
+- conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.0-py312h7e784f5_0.conda
+  sha256: 288b65215e8b2872b41aa369d31c8d7a22e280e94d5704d4d92594126796a5aa
+  md5: c9e9a81299192e77428f40711a4fb00d
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libblas >=3.9.0,<4.0a0
+  - libcblas >=3.9.0,<4.0a0
+  - libgcc >=13
+  - liblapack >=3.9.0,<4.0a0
+  - libstdcxx >=13
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  constrains:
+  - numpy-base <0a0
+  arch: x86_64
+  platform: linux
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/numpy?source=hash-mapping
+  size: 8421926
+  timestamp: 1733688768634
 - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.0-py313hb30382a_0.conda
   sha256: 14a3e6403dd86db2ff39b4f39019055b2d970c1158144d1498ed95d8cc258f80
   md5: 5aa2240f061c27ddabaa2a4924c1a066
@@ -12559,27 +12527,6 @@ packages:
   - pkg:pypi/numpy?source=hash-mapping
   size: 8254574
   timestamp: 1733688667280
-- conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.2.0-py312h22eab8f_0.conda
-  sha256: e7801afed00dd1923f6f942f262ff7203c6ee58f46897073683e83d5b2573c22
-  md5: a7d262f535f3ce8c4e84a88f3c0216e8
-  depends:
-  - __osx >=10.13
-  - libblas >=3.9.0,<4.0a0
-  - libcblas >=3.9.0,<4.0a0
-  - libcxx >=18
-  - liblapack >=3.9.0,<4.0a0
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  constrains:
-  - numpy-base <0a0
-  arch: x86_64
-  platform: osx
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/numpy?source=hash-mapping
-  size: 7602665
-  timestamp: 1733688659112
 - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.2.0-py313h6ae94ac_0.conda
   sha256: 0ccfbb5c02bb86ff1a231269fcca115dc17484c6e0324aac7d8d455437eef48b
   md5: 5a29107bfc566fd1d44189c30ec67380
@@ -16936,18 +16883,6 @@ packages:
   - pkg:pypi/six?source=hash-mapping
   size: 16385
   timestamp: 1733381032766
-- conda: https://conda.anaconda.org/conda-forge/noarch/sklearn-compat-0.1.1-pyhd8ed1ab_0.conda
-  sha256: 2a06c5060e8608f4cda31cb767e45dd8440b77082ea9a142fec7ca47c1345dd8
-  md5: da44663a8590c00f692da5f5f879b3dd
-  depends:
-  - python >=3.9
-  - scikit-learn >=1.2,<1.7
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/sklearn-compat?source=hash-mapping
-  size: 20269
-  timestamp: 1733938958653
 - conda: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.10-hdb0a2a9_1.conda
   sha256: 082eadbc355016e948f1acc2f16e721ae362ecdaa204cbd60136ada19bd43f3a
   md5: 78b8b85bdf1f42b8a2b3cb577d8742d1
diff --git a/pyproject.toml b/pyproject.toml
index f77cc5ae6..dc2eee6b0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -28,7 +28,6 @@ dependencies = [
    "numpy>=1.24.3,<3",
    "scipy>=1.10.1,<2",
    "scikit-learn>=1.3.2,<2",
-   "sklearn-compat>=0.1,<1",
    "joblib>=1.1.1,<2",
    "threadpoolctl>=2.0.0,<4",
 ]
@@ -94,7 +93,6 @@ platforms = ["linux-64", "osx-arm64", "osx-64", "win-64"]
 numpy = ">=1.24.3,<3"
 scipy = ">=1.10.1,<2"
 scikit-learn = ">=1.3.2,<2"
-sklearn-compat = ">=0.1,<1"
 joblib = ">=1.1.1,<2"
 threadpoolctl = ">=2.0.0,<4"