diff --git a/.github/release.yml b/.github/release.yml
index aaad370..4ba92c1 100644
--- a/.github/release.yml
+++ b/.github/release.yml
@@ -20,4 +20,4 @@ changelog:
         - ci
     - title: 🤷🏻 Other changes
       labels:
-        - '*'
+        - "*"
diff --git a/.github/scripts/read_version.sh b/.github/scripts/read_version.sh
index 97a6446..d2397ae 100755
--- a/.github/scripts/read_version.sh
+++ b/.github/scripts/read_version.sh
@@ -1,4 +1,4 @@
 #!/usr/bin/env bash
 
-# first get line with version_info, then extract thing in parantheses, then replace ", " with "."
+# first get line with version_info, then extract thing in parentheses, then replace ", " with "."
 grep "version_info =" | sed "s/^.*(\([^()]*\)).*$/\1/" | sed "s/, /./g"
diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index fd52437..eb8a6c0 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -23,13 +23,13 @@ jobs:
           cache-name: benchmark-model-cache
         with:
           path: examples/benchmark_models
-          key: models-${{ hashFiles('benchmark.py', '.github/workflows/benchmark.yml') }}
+          key: models-${{ hashFiles('examples/benchmark.py', '.github/workflows/benchmark.yml') }}
       - name: Run benchmark
         run: |
-          python benchmark.py
+          python examples/benchmark.py
           echo "_(benchmark **${{ github.run_id }}** / attempt **${{ github.run_attempt }}**)_" >> result.md
           cat benchmark.md >> result.md
-        shell: pixi run bash {0}
+        shell: pixi run bash -e {0}
       - name: Comment on PR
         uses: actions/github-script@v7
         if: github.event_name == 'pull_request'
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 1ffa632..19eb617 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -53,19 +53,8 @@ jobs:
     steps:
       - name: Checkout branch
         uses: actions/checkout@v4
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@v0.6.0
       - uses: quantco/pre-commit-conda@v1
         with:
-          python-version: '3.8'
-
-  lint-workflow-files:
-    name: "Lint workflow files"
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout branch
-        uses: actions/checkout@v4
-      # https://github.com/rhysd/actionlint/blob/main/docs/usage.md#use-actionlint-on-github-actions
-      - name: Download actionlint
-        id: get_actionlint
-        run: bash <(curl https://raw.githubusercontent.com/rhysd/actionlint/main/scripts/download-actionlint.bash)
-      - name: Check workflow files
-        run: ${{ steps.get_actionlint.outputs.executable }} -color
+          python-version: "3.8"
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index e676059..0e4830e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,17 +1,42 @@
+exclude: ^\.copier-answers\.yml$
 repos:
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.6.0
+  - repo: local
     hooks:
-      - id: check-yaml
+      # ruff
+      - id: ruff
+        name: ruff
+        entry: pixi run -e lint ruff check --fix --exit-non-zero-on-fix --force-exclude
+        language: system
+        types_or: [python, pyi]
+        require_serial: true
+      - id: ruff-format
+        name: ruff-format
+        entry: pixi run -e lint ruff format --force-exclude
+        language: system
+        types_or: [python, pyi]
+        require_serial: true
+      # mypy
+      - id: mypy
+        name: mypy
+        entry: pixi run -e default mypy
+        language: system
+        types: [python]
+        require_serial: true
+      # pre-commit-hooks
+      - id: trailing-whitespace-fixer
+        name: trailing-whitespace-fixer
+        entry: pixi run -e lint trailing-whitespace-fixer
+        language: system
+        types: [text]
       - id: end-of-file-fixer
-      - id: trailing-whitespace
-      - id: check-toml
-  - repo: https://github.com/quantco/pre-commit-mirrors-ruff
-    rev: 0.4.3
-    hooks:
-      - id: ruff-conda
-      - id: ruff-format-conda
-  - repo: https://github.com/quantco/pre-commit-mirrors-mypy
-    rev: 1.10.0
-    hooks:
-      - id: mypy-conda
+        name: end-of-file-fixer
+        entry: pixi run -e lint end-of-file-fixer
+        language: system
+        types: [text]
+      # typos
+      - id: typos
+        name: typos
+        entry: pixi run -e lint typos --force-exclude
+        language: system
+        types: [text]
+        require_serial: true
diff --git a/benchmark.py b/examples/benchmark.py
similarity index 98%
rename from benchmark.py
rename to examples/benchmark.py
index 8aed120..210dd2b 100644
--- a/benchmark.py
+++ b/examples/benchmark.py
@@ -12,11 +12,11 @@
 from slim_trees import dumps_lgbm_compressed, dumps_sklearn_compressed
 from slim_trees.pickling import dumps_compressed, get_pickled_size, loads_compressed
 
-MODELS_PATH = "examples/benchmark_models"
+MODELS_PATH = Path("examples/benchmark_models")
 
 
 def load_model(model_name: str, generate: Callable) -> Any:
-    model_path = Path(f"{MODELS_PATH}/{model_name}.pkl")
+    model_path = Path(MODELS_PATH / f"{model_name}.pkl")
 
     if model_path.exists():
         print(f"Loading model `{model_name}.pkl` from disk...")
diff --git a/examples/pickle_lgbm.py b/examples/pickle_lgbm.py
index b6cc375..031b30b 100644
--- a/examples/pickle_lgbm.py
+++ b/examples/pickle_lgbm.py
@@ -4,12 +4,12 @@
 
 import lightgbm as lgb
 from lightgbm import Booster
-from utils import (
+
+from examples.utils import (
     evaluate_compression_performance,
     evaluate_prediction_difference,
     generate_dataset,
 )
-
 from slim_trees import dump_lgbm_compressed
 from slim_trees.lgbm_booster import dump
 from slim_trees.pickling import load_compressed
diff --git a/examples/pickle_sklearn.py b/examples/pickle_sklearn.py
index 91a8f85..eec4439 100644
--- a/examples/pickle_sklearn.py
+++ b/examples/pickle_sklearn.py
@@ -2,12 +2,12 @@
 import tempfile
 
 from sklearn.ensemble import RandomForestRegressor
-from utils import (
+
+from examples.utils import (
     evaluate_compression_performance,
     evaluate_prediction_difference,
     generate_dataset,
 )
-
 from slim_trees import dump_sklearn_compressed
 from slim_trees.pickling import load_compressed
 from slim_trees.sklearn_tree import dump
diff --git a/examples/utils.py b/examples/utils/__init__.py
similarity index 100%
rename from examples/utils.py
rename to examples/utils/__init__.py
diff --git a/pixi.lock b/pixi.lock
index b4ab843..67a652c 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -1,4 +1,4 @@
-version: 4
+version: 5
 environments:
   default:
     channels:
@@ -19,7 +19,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-h41732ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-19_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-19_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.5.0-hcb278e6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_2.conda
@@ -28,38 +28,44 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-19_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.24-pthreads_h413a1c8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.44.2-h2797004_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-h7e041cc_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lightgbm-4.3.0-py312h30efb56_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4-hcb278e6_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.3-py312heda63a1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.10.0-py312h9a8786e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.2.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-23.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.0-py312hfb8ada1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.2-py312h1d6d2e6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-0.11.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-23.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-emoji-0.2.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-md-0.2.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.1-hab00c5b_1_cpython.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.3-hab00c5b_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2023.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2023.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.3.2-py312h394d371_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.12.0-py312heda63a1_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.4.2-py312h1fcc3ea_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py312hc2bc53b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-68.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.2.0-pyha21a80b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-h2797004_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/trove-classifiers-2023.10.18-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2024.1.0.20240417-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.41.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
@@ -77,7 +83,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.40-h2d8c526_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libblas-3.9.0-19_linuxaarch64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libcblas-3.9.0-19_linuxaarch64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.5.0-hd600fc2_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.6.2-h2f0025b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libffi-3.4.2-h3557bc0_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgcc-ng-13.2.0-hf8544c7_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libgfortran-ng-13.2.0-he9431aa_2.conda
@@ -86,100 +92,47 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/liblapack-3.9.0-19_linuxaarch64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libnsl-2.0.1-h31becfc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libopenblas-0.3.24-pthreads_h5a5ec62_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.44.2-h194ca79_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.45.3-h194ca79_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-ng-13.2.0-h9a76618_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.38.1-hb4cce97_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libxcrypt-4.4.36-h31becfc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.2.13-h31becfc_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/lightgbm-4.3.0-py312h2aa54b4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.4-h2e1726e_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.3-py312h470d778_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/mypy-1.10.0-py312h396f95a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.5-h0425590_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.4-py312h470d778_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.2.1-h31becfc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-23.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pandas-2.2.0-py312hc56aa73_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pandas-2.2.2-py312h14eacfc_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-0.11.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-23.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/psutil-5.9.8-py312hdd3e373_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-7.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-emoji-0.2.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-md-0.2.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.12.1-h43d1f9e_1_cpython.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.12.3-h43d1f9e_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2023.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python_abi-3.12-4_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2023.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.2-h8fc344f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scikit-learn-1.3.2-py312ha513981_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scipy-1.12.0-py312h470d778_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scikit-learn-1.4.2-py312hf487cbb_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/scipy-1.13.0-py312h37abc14_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-68.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.2.0-pyha21a80b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-h194ca79_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
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-  - libcblas 3.9.0 21_linuxppc64le_openblas
-  - liblapacke 3.9.0 21_linuxppc64le_openblas
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-  - liblapacke 3.9.0 22_linuxppc64le_openblas
-  - liblapack 3.9.0 22_linuxppc64le_openblas
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-  - liblapacke 3.9.0 19_linuxppc64le_openblas
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   version: 2.5.0
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   size: 69602
   timestamp: 1680191040160
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+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/libexpat-2.6.2-h2f0025b_0.conda
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   size: 56690
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-  url: https://conda.anaconda.org/conda-forge/linux-ppc64le/xz-5.2.6-hb283c62_0.tar.bz2
-  sha256: d03eb2b53dc61ac97c88b3ca023cf19c2b83b97520725b3c2ec0bff2c47f4a98
-  md5: a411645e44054e333573ee5280fdb89b
-  depends:
-  - libgcc-ng >=12
-  license: LGPL-2.1 and GPL-2.0
-  size: 443552
-  timestamp: 1660348160401
 - kind: conda
   name: yaml
   version: 0.2.5
@@ -19469,21 +18614,6 @@ packages:
   license_family: MIT
   size: 88016
   timestamp: 1641347076660
-- kind: conda
-  name: yaml
-  version: 0.2.5
-  build: h4e0d66e_2
-  build_number: 2
-  subdir: linux-ppc64le
-  url: https://conda.anaconda.org/conda-forge/linux-ppc64le/yaml-0.2.5-h4e0d66e_2.tar.bz2
-  sha256: 1fdf204ef2126b10b1e783e862c49a1fdadfb440c7c51cd49df792000450b1d1
-  md5: e480df649632a5f96b7a24dfc213fd3d
-  depends:
-  - libgcc-ng >=9.4.0
-  license: MIT
-  license_family: MIT
-  size: 109261
-  timestamp: 1641348050084
 - kind: conda
   name: yaml
   version: 0.2.5
@@ -19530,21 +18660,6 @@ packages:
   license_family: MIT
   size: 92927
   timestamp: 1641347626613
-- kind: conda
-  name: zipp
-  version: 3.17.0
-  build: pyhd8ed1ab_0
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
-  sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26
-  md5: 2e4d6bc0b14e10f895fc6791a7d9b26a
-  depends:
-  - python >=3.8
-  license: MIT
-  license_family: MIT
-  size: 18954
-  timestamp: 1695255262261
 - kind: conda
   name: zipp
   version: 3.17.0
diff --git a/pixi.toml b/pixi.toml
index 0a03216..1db6e82 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -1,9 +1,8 @@
 [project] # TODO: move to pyproject.toml once pixi supports it
 name = "slim-trees"
 description = "A python package for efficient pickling of ML models."
-authors = ["Pavel Zwerschke <pavelzw@gmail.com>"]
 channels = ["conda-forge"]
-platforms = ["osx-arm64", "osx-64", "linux-64", "linux-aarch64", "linux-ppc64le", "win-64"]
+platforms = ["osx-arm64", "osx-64", "linux-64", "linux-aarch64", "win-64"]
 
 [tasks]
 postinstall = "pip install --no-build-isolation --no-deps --disable-pip-version-check -e ."
@@ -23,6 +22,8 @@ pytest = ">=7.0"
 pytest-md = "*"
 pytest-emoji = "*"
 pandas = "*"
+mypy = "*"
+pandas-stubs = "*"
 [feature.test.tasks]
 test = "pytest"
 
@@ -59,8 +60,12 @@ python = ">=3.12,<3.13"
 
 [feature.lint.dependencies]
 pre-commit = "*"
+ruff = "*"
+pre-commit-hooks = "*"
+typos = "*"
 [feature.lint.tasks]
-lint = "pre-commit run -a"
+pre-commit-install = "pre-commit install"
+pre-commit-run = "pre-commit run -a"
 
 [environments]
 default = ["test"]
@@ -79,4 +84,4 @@ py39 = ["py39", "test"]
 py310 = ["py310", "test"]
 py311 = ["py311", "test"]
 py312 = ["py312", "test"]
-lint = ["lint"]
+lint = { features = ["lint"], no-default-feature = true }
diff --git a/pyproject.toml b/pyproject.toml
index d1d8b12..a78ae87 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "slim-trees"
 description = "A python package for efficient pickling of ML models."
-version = "0.2.8"
+version = "0.2.9"
 readme = "README.md"
 license = {file = "LICENSE"}
 requires-python = ">=3.8"
@@ -85,6 +85,10 @@ indent-style = "space"
 
 [tool.mypy]
 python_version = "3.8"
-ignore_missing_imports = true
 no_implicit_optional = true
 check_untyped_defs = true
+
+[[tool.mypy.overrides]]
+# https://github.com/scikit-learn/scikit-learn/issues/16705
+module = ["sklearn.*"]
+ignore_missing_imports = true
diff --git a/slim_trees/compression_utils.py b/slim_trees/compression_utils.py
index 8499760..b26f924 100644
--- a/slim_trees/compression_utils.py
+++ b/slim_trees/compression_utils.py
@@ -1,13 +1,16 @@
+from typing import Dict
+
 import numpy as np
+from numpy.typing import DTypeLike, NDArray
 
 
-def safe_cast(arr: np.array, dtype):
+def safe_cast(arr: NDArray, dtype: DTypeLike) -> NDArray:
     if np.can_cast(arr.max(), dtype) and np.can_cast(arr.min(), dtype):
         return arr.astype(dtype)
     raise ValueError(f"Cannot cast array to {dtype}.")
 
 
-def _is_in_neighborhood_of_int(arr, iinfo, eps=1e-12):
+def _is_in_neighborhood_of_int(arr: NDArray, iinfo: np.iinfo, eps: float = 1e-12):
     """
     Checks if the numbers are around an integer.
     np.abs(arr % 1 - 1) < eps checks if the number is in an epsilon neighborhood on the right side
@@ -21,7 +24,9 @@ def _is_in_neighborhood_of_int(arr, iinfo, eps=1e-12):
     )
 
 
-def compress_half_int_float_array(a, compression_dtype="int8"):
+def compress_half_int_float_array(
+    a: NDArray, compression_dtype: DTypeLike = "int8"
+) -> Dict:
     """Compress small integer and half-integer floats in a lossless fashion
 
     Idea:
@@ -48,7 +53,7 @@ def compress_half_int_float_array(a, compression_dtype="int8"):
     return state
 
 
-def decompress_half_int_float_array(state):
+def decompress_half_int_float_array(state: Dict) -> NDArray:
     n_thresholds = len(state["a2_compressible"]) + len(state["a_incompressible"])
     is_compressible = np.unpackbits(
         state["is_compressible"], count=n_thresholds
diff --git a/slim_trees/lgbm_booster.py b/slim_trees/lgbm_booster.py
index 33001a2..9a16b1f 100644
--- a/slim_trees/lgbm_booster.py
+++ b/slim_trees/lgbm_booster.py
@@ -4,9 +4,10 @@
 import pickle
 import re
 import sys
-from typing import Any, BinaryIO, List, Tuple
+from typing import Any, BinaryIO, Dict, List, Optional, Tuple, Union
 
 import numpy as np
+from numpy.typing import DTypeLike, NDArray
 from packaging.version import Version
 
 from slim_trees import __version__ as slim_trees_version
@@ -42,7 +43,7 @@ def dumps(model: Any) -> bytes:
 
 def _booster_pickle(booster: Booster):
     assert isinstance(booster, Booster)
-    reconstructor, args, state = booster.__reduce__()
+    reconstructor, args, state = booster.__reduce__()  # type: ignore
     compressed_state = _compress_booster_state(state)
     return _booster_unpickle, (
         reconstructor,
@@ -125,9 +126,9 @@ def _validate_feature_lengths(feats_map: dict):
     assert len(feats_map["leaf_value"]) == num_leaves
 
 
-def parse(str_list, dtype):
+def parse(str_list: Union[List[str], List[Optional[str]]], dtype: DTypeLike):
     if np.can_cast(dtype, np.int64):
-        int64_array = np.array(str_list, dtype=np.int64)
+        int64_array: NDArray = np.array(str_list, dtype=np.int64)
         return safe_cast(int64_array, dtype)
     assert np.can_cast(dtype, np.float64)
     return np.array(str_list, dtype=dtype)
@@ -159,8 +160,8 @@ def _compress_booster_handle(model_string: str) -> Tuple[str, List[dict], str]:
         assert int(tree_idx) == i
 
         # extract features -- filter out empty ones
-        features = [f for f in features_list.split("\n") if "=" in f]
-        feats_map = dict(_extract_feature(fl) for fl in features)
+        features: List[str] = [f for f in features_list.split("\n") if "=" in f]
+        feats_map: Dict[str, List[str]] = dict(_extract_feature(fl) for fl in features)
         _validate_feature_lengths(feats_map)
 
         tree_values = {
@@ -185,7 +186,7 @@ def _compress_booster_handle(model_string: str) -> Tuple[str, List[dict], str]:
             tree_values["num_features"] = parse(feats_map["num_features"], np.int32)
             tree_values["leaf_const"] = parse(feats_map["leaf_const"], LEAF_VALUE_DTYPE)
             tree_values["leaf_features"] = parse(
-                [s if s else -1 for s in feats_map["leaf_features"]],
+                [s if s else "-1" for s in feats_map["leaf_features"]],
                 np.int16,
             )
             tree_values["leaf_coeff"] = parse(
diff --git a/slim_trees/py.typed b/slim_trees/py.typed
new file mode 100644
index 0000000..e69de29
diff --git a/slim_trees/sklearn_tree.py b/slim_trees/sklearn_tree.py
index 3c643aa..71648a5 100644
--- a/slim_trees/sklearn_tree.py
+++ b/slim_trees/sklearn_tree.py
@@ -24,9 +24,10 @@
 
 import copyreg
 import pickle
-from typing import Any, BinaryIO
+from typing import Any, BinaryIO, Dict
 
 import numpy as np
+from numpy.typing import NDArray
 
 
 def dump(model: Any, file: BinaryIO):
@@ -42,7 +43,7 @@ def dumps(model: Any) -> bytes:
     return bytes_io.getvalue()
 
 
-def _tree_pickle(tree):
+def _tree_pickle(tree: Tree):
     assert isinstance(tree, Tree)
     reconstructor, args, state = tree.__reduce__()
     compressed_state = _compress_tree_state(state)
@@ -59,7 +60,7 @@ def _tree_unpickle(reconstructor, args, compressed_state):
     return tree
 
 
-def _compress_tree_state(state: dict):
+def _compress_tree_state(state: Dict) -> Dict:
     """
     Compresses a Tree state.
     :param state: dictionary with 'max_depth', 'node_count', 'nodes', 'values' as keys.
@@ -119,7 +120,7 @@ def _compress_tree_state(state: dict):
     }
 
 
-def _decompress_tree_state(state: dict):
+def _decompress_tree_state(state: Dict) -> Dict:
     """
     Decompresses a Tree state.
     :param state: 'children_left', 'children_right', 'features', 'thresholds', 'values' as keys.
@@ -148,13 +149,13 @@ def _decompress_tree_state(state: dict):
         )
     n_nodes = state["node_count"]
 
-    children_left = np.zeros(n_nodes, dtype=np.int64)
-    children_right = np.zeros(n_nodes, dtype=np.int64)
-    features = np.zeros(n_nodes, dtype=np.int64)
-    thresholds = np.zeros(n_nodes, dtype=np.float64)
+    children_left: NDArray = np.zeros(n_nodes, dtype=np.int64)
+    children_right: NDArray = np.zeros(n_nodes, dtype=np.int64)
+    features: NDArray = np.zeros(n_nodes, dtype=np.int64)
+    thresholds: NDArray = np.zeros(n_nodes, dtype=np.float64)
     # same shape as values but with all nodes instead of only the leaves
-    values = np.zeros((n_nodes, *state["values"].shape[1:]), dtype=np.float64)
-    missing_go_to_left = np.zeros(n_nodes, dtype="uint8")
+    values: NDArray = np.zeros((n_nodes, *state["values"].shape[1:]), dtype=np.float64)
+    missing_go_to_left: NDArray = np.zeros(n_nodes, dtype="uint8")
 
     is_leaf = np.unpackbits(state["is_leaf"], count=n_nodes).astype("bool")
     children_left[~is_leaf] = state["children_left"]