diff --git a/.github/workflows/build-test.yml b/.github/workflows/build-test.yml
index c079ccc7..0b87f272 100644
--- a/.github/workflows/build-test.yml
+++ b/.github/workflows/build-test.yml
@@ -6,7 +6,7 @@ on:
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
+  cancel-in-progress: false
 
 jobs:
   pytest:
@@ -15,25 +15,17 @@ jobs:
     strategy:
       fail-fast: false # need to see which ones fail
       matrix:
-        os: [ubuntu-latest, windows-latest, macos-latest]
-        python: ["3.9", "3.10", "3.11", "3.12", "3.13"]
-        # this is to make the CI run on different sklearn versions
-        include:
-          - python: "3.9"
-            sklearn_version: ">=1.1,<1.2"
-            numpy_version: "numpy<2"
-          - python: "3.10"
-            sklearn_version: ">=1.2,<1.3"
-            numpy_version: "numpy"
-          - python: "3.11"
-            sklearn_version: ">=1.4,<1.5"
-            numpy_version: "numpy"
-          - python: "3.12"
-            sklearn_version: ">=1.5,<1.6"
-            numpy_version: "numpy"
-          - python: "3.13"
-            sklearn_version: "nightly"
-            numpy_version: "numpy"
+        os: [windows-latest, ubuntu-latest, macos-latest]
+        environment: [
+          # ci-min-deps,
+          # ci-sklearn11,
+          # ci-sklearn12,
+          # ci-sklearn13,
+          # ci-sklearn14,
+          ci-sklearn15,
+          ci-sklearn16,
+          ci-sklearn17
+        ]
 
     # Timeout: https://stackoverflow.com/a/59076067/4521646
     timeout-minutes: 15
@@ -52,55 +44,19 @@ jobs:
           echo PR_COMMIT_MESSAGE=$(git log -1 --pretty=format:\"%s\") >> $GITHUB_ENV
         shell: bash
 
-      - name: Set up Python ${{ matrix.python }}
-        uses: actions/setup-python@v5
+      - uses: prefix-dev/setup-pixi@v0.8.1
         with:
-          python-version: ${{ matrix.python }}
+          pixi-version: v0.39.0
+          environments: ${{ matrix.environment }}
+          # we can freeze the environment and manually bump the dependencies to the
+          # latest version time to time.
+          frozen: true
 
-      - name: Install dependencies
-        run: |
-          set -x
-          python -m pip install -U pip
-          if [ "${{ matrix.os }}" == "macos-latest" ]; then
-            brew install libomp
-          fi
-          pip install "pytest<8"
-          pip install "${{ matrix.numpy_version }}"
-          if [ ${{ matrix.sklearn_version }} == "nightly" ]; then
-            pip install --pre --extra-index https://pypi.anaconda.org/scientific-python-nightly-wheels/simple scikit-learn
-            pip install .[docs,tests]
-          else
-            pip install .[docs,tests] "scikit-learn${{ matrix.sklearn_version }}"
-          fi
-          pip install black=="23.9.1" ruff=="0.0.292" mypy=="1.6.0"
-          if [ ${{ matrix.os }} == "ubuntu-latest" ]; then
-            sudo apt install pandoc && pandoc --version;
-          fi
-          python --version
-          pip --version
-          pip list
-        shell: bash
-
-      - name: Check black
-        run: black --check --diff .
-
-      - name: Check ruff
-        run: ruff check --diff .
-
-      - name: Tests
-        env:
-          SUPER_SECRET: ${{ secrets.HF_HUB_TOKEN }}
-          PYTHONIOENCODING: "utf-8"
-        run: |
-          python -m pytest -s -v --cov-report=xml -m "not inference" skops/
-
-      - name: Mypy
-        run: mypy --config-file pyproject.toml skops
+      - name: Linters
+        run: pixi run -e lint lint
 
-      - name: Inference tests (conditional)
-        if: contains(env.PR_COMMIT_MESSAGE, '[CI inference]')
-        run: |
-          python -l -m pytest -s -v -m "inference" skops/
+      - name: Run tests
+        run: pixi run -e ${{ matrix.environment }} tests
 
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v5
diff --git a/.pixi/config.toml b/.pixi/config.toml
new file mode 100644
index 00000000..3afa9e0d
--- /dev/null
+++ b/.pixi/config.toml
@@ -0,0 +1,2 @@
+[concurrency]
+downloads = 20
diff --git a/.readthedocs.yml b/.readthedocs.yml
index 196f0673..5cd7e1a6 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -7,9 +7,9 @@ version: 2
 
 # Set the version of Python and other tools you might need
 build:
-  os: ubuntu-20.04
+  os: ubuntu-lts-latest
   tools:
-    python: "3.10"
+    python: "3.12"
 
 # Build documentation in the docs/ directory with Sphinx
 sphinx:
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 552baeed..2a48386a 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -57,29 +57,41 @@ entails. If you don't understand an issue, it's on us, not on you!
 Setting up the dev environment
 ------------------------------
 
-Following these steps you can prepare a dev environment for yourself to
-contribute to `skops`.
+We use `pixi <https://github.com/prefix-dev/pixi>`_ in our CI and development
+workflows and recommend you use it to test the changes you make.
 
-Using conda/mamba
-~~~~~~~~~~~~~~~~~
+Once you have ``pixi`` installed, you can run the tests with:
 
 .. code:: bash
 
-          mamba create -c conda-forge -n skops python=3.10
-          mamba activate skops
-          python -m pip install -e ".[tests,docs]"
-          # add pre-commit hooks
-          mamba install -c conda-forge pre-commit
-          pre-commit install
+   pixi run tests
 
-You can also replace the above `mamba` commands with `conda` if you don't have
-`mamba` installed.
+And you can choose an environment to run the tests with:
 
+.. code:: bash
+
+   pixi run -e ci-sklearn15 tests
+
+In order to setup ``pre-commit`` hooks, you'd need to run the linter once, ignoring
+the outputs:
+
+.. code:: bash
+
+   pixi run -e lint lint
+
+VSCode-like IDEs automatically detect ``pixi`` environments and you can use them as
+your python interpreter.
+
+Running Tests Manually
+~~~~~~~~~~~~~~~~~~~~~~
+
+You can get an interactive shell into an environment with a command like the following:
+
+.. code:: bash
 
-Running Tests
-~~~~~~~~~~~~~
+   pixi shell -e ci-sklearn15
 
-skops uses pytest as its test runner, just run it from the project root:
+``skops`` uses ``pytest`` as its test runner, just run it from the project root:
 
 .. code:: bash
 
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 142b6ca3..b1b9be94 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1 +1,10 @@
--e .[docs]
+matplotlib>=3.3
+pandas>=1
+fairlearn>=0.7.0
+sphinx>=3.2.0
+sphinx-gallery>=0.7.0
+sphinx-rtd-theme>=1
+numpydoc>=1.0.0
+sphinx-prompt>=1.3.0
+sphinx-issues>=1.2.0
+-e .[rich]
diff --git a/examples/plot_model_card.py b/examples/plot_model_card.py
index 445dfecb..7f098ee6 100644
--- a/examples/plot_model_card.py
+++ b/examples/plot_model_card.py
@@ -112,7 +112,7 @@
 model_card_authors = "skops_user"
 citation_bibtex = "**BibTeX**\n\n```\n@inproceedings{...,year={2020}}\n```"
 model_card.add(
-    **{
+    **{  # type: ignore
         "Citation": citation_bibtex,
         "Model Card Authors": model_card_authors,
         "Model description": model_description,
@@ -139,7 +139,7 @@
     "The model is evaluated on test data using accuracy and F1-score with "
     "macro average."
 )
-model_card.add(**{"Model description/Evaluation Results": eval_descr})
+model_card.add(**{"Model description/Evaluation Results": eval_descr})  # type: ignore
 
 accuracy = accuracy_score(y_test, y_pred)
 f1 = f1_score(y_test, y_pred, average="micro")
diff --git a/pixi.lock b/pixi.lock
new file mode 100644
index 00000000..abe90039
--- /dev/null
+++ b/pixi.lock
@@ -0,0 +1,22757 @@
+version: 6
+environments:
+  ci-min-deps:
+    channels:
+    - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
+    packages:
+      linux-64:
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_py-xgboost-mutex-2.0-cpu_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.13-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/catboost-1.2.7-py39hf3d152e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py39h15c3d72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/commonmark-0.9.1-py_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.8-py39h9399b63_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.27-h54b06d7_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyhc8e2a94_3.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.13.6-h5008d03_3.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.4-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/flake8-3.8.2-pyh9f0ad1d_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/flaky-3.7.0-pyh9f0ad1d_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/future-1.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.12-hb9ae30d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-he02047a_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-he02047a_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-2.82.2-h44428e9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.82.2-h4833e2c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gst-plugins-base-1.24.7-h0a52356_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gstreamer-1.24.7-hf3bb09a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.4.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.7-py39h74842e3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lame-3.100-h166bdaf_1003.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-he8f35ee_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-he8f35ee_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.69-h0f662aa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp19.1-19.1.4-default_hb5137d0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-19.1.4-default_h9c6a7e4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h4637d8d_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.123-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_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/libflac-1.4.3-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h77fa898_1.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libpq-17.2-h04577a9_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py310he5e10e1_1.conda
+  sha256: 4e8aff4d0d42024e9f70783e51666186a681384d59fdd03fafda4b28f1fd540e
+  md5: 2a879227ccc1a10a2caddf12607ffaeb
+  depends:
+  - cffi >=1.11
+  - python >=3.10,<3.11.0a0
+  - python_abi 3.10.* *_cp310
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 311278
+  timestamp: 1725306039901
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py311h53056dc_1.conda
+  sha256: a93584e6167c3598854a47f3bf8276fa646a3bb4d12fcfc23a54e37d5879f35c
+  md5: 7d4c123cbb5e6293dd4dd2f8d30f0de4
+  depends:
+  - cffi >=1.11
+  - python >=3.11,<3.12.0a0
+  - python_abi 3.11.* *_cp311
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 321357
+  timestamp: 1725305930669
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda
+  sha256: 3e0c718aa18dcac7f080844dbe0aea41a9cea75083019ce02e8a784926239826
+  md5: a92cc3435b2fd6f51463f5a4db5c50b1
+  depends:
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 320624
+  timestamp: 1725305934189
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py313h574b89f_1.conda
+  sha256: 1d2744ec0e91da267ce749e19142081472539cb140a7dad0646cd249246691fe
+  md5: 8e017aca933f4dd25491151edd3e7820
+  depends:
+  - cffi >=1.11
+  - python >=3.13.0rc1,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 325703
+  timestamp: 1725305947138
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py39h9bf74da_1.conda
+  sha256: 1446c0495565d6d7b364e0b2021d0309d21a34cb7d6bd19eced1a483fabfb915
+  md5: 5f1f0f75ebd24882ccf44d145939b104
+  depends:
+  - cffi >=1.11
+  - python >=3.9,<3.10.0a0
+  - python_abi 3.9.* *_cp39
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 311116
+  timestamp: 1725305993710
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
+  md5: 4d056880988120e29d75bfff282e0f45
+  depends:
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 554846
+  timestamp: 1714722996770
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
+  sha256: efa04a98cb149643fa54c4dad5a0179e36a5fbc88427ea0eec88ceed87fd0f96
+  md5: 4cb2cd56f039b129bb0e491c1164167e
+  depends:
+  - __osx >=10.9
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 498900
+  timestamp: 1714723303098
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
+  sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09
+  md5: d96942c06c3e84bfcc5efb038724a7fd
+  depends:
+  - __osx >=11.0
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 405089
+  timestamp: 1714723101397
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
+  sha256: 768e30dc513568491818fb068ee867c57c514b553915536da09e5d10b4ebf3c3
+  md5: 9a17230f95733c04dc40a2b1e5491d74
+  depends:
+  - libzlib >=1.2.13,<2.0.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 349143
+  timestamp: 1714723445995
diff --git a/pyproject.toml b/pyproject.toml
index b5e47d5b..b0faa411 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,3 +1,58 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.version]
+path = "skops/__init__.py"
+
+[project]
+name = "skops"
+dynamic = ["version"]
+readme = "README.rst"
+description = "A set of tools, related to machine learning in production."
+maintainers = [
+    { name = "Adrin Jalali", email = "adrin.jalali@gmail.com" },
+    { name= "Benjamin Bossan", email= "benjamin.bossan@gmail.com" },
+]
+requires-python = ">=3.9"
+classifiers = [
+    "Intended Audience :: Science/Research",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved",
+    "Programming Language :: Python",
+    "Topic :: Software Development",
+    "Topic :: Scientific/Engineering",
+    "Development Status :: 1 - Planning",
+    "Operating System :: Microsoft :: Windows",
+    "Operating System :: POSIX",
+    "Operating System :: Unix",
+    "Operating System :: MacOS",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: Implementation :: CPython",
+]
+license = {file = "LICENSE"}
+dependencies = [
+    "scikit-learn>=1.1",
+    "huggingface-hub>=0.17.0",
+    "tabulate>=0.8.8",
+    "packaging>=17.0",
+]
+
+[project.optional-dependencies]
+rich = ["rich>=12"]
+
+[project.urls]
+Homepage = "http://github.com/skops-dev/skops"
+Documentation = "https://skops.readthedocs.io/en/stable/"
+Repository = "http://github.com/skops-dev/skops"
+Issues = "http://github.com/skops-dev/skops/issues"
+Changelog = "https://skops.readthedocs.io/en/stable/changes.html"
+
 [tool.black]
 line-length = 88
 target_version = ['py38', 'py39', 'py310', 'py311']
@@ -8,6 +63,7 @@ preview = true
 select = ["E", "F", "W", "I"]
 
 [tool.pytest.ini_options]
+doctest_optionflags = "NORMALIZE_WHITESPACE ELLIPSIS"
 filterwarnings = [
     "error::DeprecationWarning",
     "error::FutureWarning",
@@ -51,3 +107,151 @@ omit = [
 exclude = "(\\w+/)*test_\\w+\\.py$|spaces/skops_model_card_creator|old"
 ignore_missing_imports = true
 no_implicit_optional = true
+
+[tool.pixi.project]
+channels = ["conda-forge"]
+platforms = ["linux-64", "osx-arm64", "osx-64", "win-64"]
+
+[tool.pixi.dependencies]
+# scikit-learn is not included here since it's included explicitly in each task's
+# dependencies either from conda or pypi (pre-release).
+rich = ">=12"
+
+[tool.pixi.pypi-dependencies]
+skops = { path = ".", editable = true }
+
+[tool.pixi.feature.docs.dependencies]
+# To be synced with the versions in docs/requirements.txt
+matplotlib = ">=3.3"
+pandas = ">=1"
+fairlearn = ">=0.7.0"
+sphinx = ">=3.2.0"
+sphinx-gallery = ">=0.7.0"
+sphinx-rtd-theme = ">=1"
+numpydoc = ">=1.0.0"
+sphinx-prompt = ">=1.3.0"
+sphinx-issues = ">=1.2.0"
+
+[tool.pixi.feature.tests.dependencies]
+pytest = ">=7"
+pytest-cov = ">=2.9.0"
+flake8 = ">=3.8.2"
+types-requests = ">=2.28.5"
+flaky = ">=3.7.0"
+rich = ">=12"
+matplotlib = ">=3.3"
+pandas = ">=1"
+
+[tool.pixi.feature.tests.pypi-dependencies]
+# these are packages that require scikit-learn. They need to be as a pypi dependency
+# because otherwise there will be a package resolution conflict between pypi and conda
+# when installing pre-release nightly release.
+lightgbm = ">=3"
+xgboost = ">=1.6"
+
+[tool.pixi.feature.min-deps.dependencies]
+python = "=3.9"
+# all version constraints for this package seem to resolve to the latest. so leaving it
+# as is.
+quantile-forest = "=1.3.11"
+scikit-learn = "~=1.1.0"
+pytest = "=7"
+pytest-cov = "=2.9.0"
+flake8 = "=3.8.2"
+types-requests = "=2.28.5"
+flaky = "=3.7.0"
+catboost = "~=1.0"
+rich = "=12"
+matplotlib = "=3.3"
+pandas = "=1"
+lightgbm = "=3"
+xgboost = "=1.6"
+
+
+[tool.pixi.feature.lint.dependencies]
+pre-commit = "*"
+
+[tool.pixi.feature.dev.dependencies]
+ipython = "*"
+
+[tool.pixi.feature.sklearn11.dependencies]
+scikit-learn = "~=1.1.0"
+catboost = ">=1.0"
+python = "=3.9"
+
+[tool.pixi.feature.sklearn12.dependencies]
+scikit-learn = "~=1.2.0"
+catboost = ">=1.0"
+python = "=3.10"
+
+[tool.pixi.feature.sklearn13.dependencies]
+scikit-learn = "~=1.3.0"
+catboost = ">=1.0"
+python = "=3.11"
+
+[tool.pixi.feature.sklearn14.dependencies]
+scikit-learn = "~=1.4.0"
+catboost = ">=1.0"
+python = "=3.12"
+
+[tool.pixi.feature.sklearn15.dependencies]
+scikit-learn = "~=1.5"
+fairlearn = "~=0.10"
+pandas = "~=2.1"
+numpy = "~=2.0"
+scipy = "~=1.8"
+python = "=3.13"
+quantile-forest = "~=1.3.11"
+
+[tool.pixi.feature.sklearn16]
+# TODO: comment this out once scikit-learn 1.6 is released and keep for testing against
+# the next release candidate.
+channels = [
+    {channel = "conda-forge/label/scikit-learn_rc", priority = 2},
+    {channel = "conda-forge", priority = 1},
+]
+
+[tool.pixi.feature.sklearn16.dependencies]
+scikit-learn = "*"
+fairlearn = "~=0.11"
+pandas = "~=2.2"
+numpy = "~=2.1"
+scipy = "~=1.9"
+# add when catboost supports 3.13
+# https://github.com/catboost/catboost/issues/2748
+# catboost = ">=1.0"
+# add quantile-forest when it's released
+# https://github.com/zillow/quantile-forest/issues/103
+# quantile-forest = "~=1.4"
+python = "=3.13"
+
+[tool.pixi.feature.sklearn17.pypi-options]
+# This is for the nightly channel to test the dev version of scikit-learn.
+extra-index-urls = ["https://pypi.anaconda.org/scientific-python-nightly-wheels/simple"]
+
+[tool.pixi.feature.sklearn17.pypi-dependencies]
+# The version value here needs to be exact, hence == instead of ~=
+scikit-learn = "==1.7.dev0"
+fairlearn = "*"
+pandas = "*"
+numpy = "*"
+scipy = "*"
+
+[tool.pixi.feature.lint.tasks]
+lint = { cmd = "pre-commit install && pre-commit run -v --all-files --show-diff-on-failure" }
+
+[tool.pixi.feature.tests.tasks]
+tests = { cmd = "pytest -vsl --cov=skops --cov-report=xml --cov-report=term-missing -m \"not inference\" skops" }
+
+[tool.pixi.environments]
+lint = ["lint"]
+docs = ["docs"]
+dev = ["docs","tests", "lint", "dev", "rich"]
+ci-min-deps = ["rich", "tests", "lint", "min-deps"]
+ci-sklearn11 = ["rich", "tests", "lint", "sklearn11"]
+ci-sklearn12 = ["rich", "tests", "lint", "sklearn12"]
+ci-sklearn13 = ["rich", "tests", "lint", "sklearn13"]
+ci-sklearn14 = ["rich", "tests", "lint", "sklearn14"]
+ci-sklearn15 = ["rich", "tests", "lint", "sklearn15"]
+ci-sklearn16 = ["rich", "tests", "lint", "sklearn16"]
+ci-sklearn17 = ["rich", "tests", "lint", "sklearn17"]
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index b9ecf0e5..00000000
--- a/setup.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-[flake8]
-max-line-length = 99
-enable-extensions = C, G
-
-[tool:pytest]
-doctest_optionflags = NORMALIZE_WHITESPACE ELLIPSIS
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 52d61eef..00000000
--- a/setup.py
+++ /dev/null
@@ -1,91 +0,0 @@
-#! /usr/bin/env python
-# License: 3-clause BSD
-import builtins
-
-from setuptools import find_namespace_packages, setup
-
-# This is a bit (!) hackish: we are setting a global variable so that the
-# main modelcard __init__ can detect if it is being loaded by the setup
-# routine, to avoid attempting to load components.
-builtins.__SKOPS_SETUP__ = True  # type: ignore
-
-
-import skops  # noqa
-import skops._min_dependencies as min_deps  # noqa
-
-VERSION = skops.__version__
-
-DISTNAME = "skops"
-DESCRIPTION = (
-    "A set of tools to push scikit-learn based models to and pull from Hugging Face Hub"
-)
-with open("README.rst") as f:
-    LONG_DESCRIPTION = f.read()
-MAINTAINER = "Adrin Jalali"
-MAINTAINER_EMAIL = "adrin.jalali@gmail.com"
-URL = "http://github.com/skops-dev/skops"
-DOWNLOAD_URL = "https://pypi.org/project/skops/#files"
-LICENSE = "MIT"
-PROJECT_URLS = {
-    "Bug Tracker": "http://github.com/skops-dev/skops/issues",
-    "Documentation": "http://github.com/skops-dev/skops",
-    "Source Code": "http://github.com/skops-dev/skops",
-}
-
-
-def setup_package():
-    package_data = dict(
-        entry_points={
-            "console_scripts": [
-                "skops = skops.cli.entrypoint:main_cli",
-            ],
-        }
-    )
-
-    metadata = dict(
-        name=DISTNAME,
-        maintainer=MAINTAINER,
-        maintainer_email=MAINTAINER_EMAIL,
-        description=DESCRIPTION,
-        license=LICENSE,
-        url=URL,
-        download_url=DOWNLOAD_URL,
-        project_urls=PROJECT_URLS,
-        version=VERSION,
-        long_description=LONG_DESCRIPTION,
-        long_description_content_type="text/x-rst",
-        classifiers=[
-            "Intended Audience :: Science/Research",
-            "Intended Audience :: Developers",
-            "License :: OSI Approved",
-            "Programming Language :: Python",
-            "Topic :: Software Development",
-            "Topic :: Scientific/Engineering",
-            "Development Status :: 1 - Planning",
-            "Operating System :: Microsoft :: Windows",
-            "Operating System :: POSIX",
-            "Operating System :: Unix",
-            "Operating System :: MacOS",
-            "Programming Language :: Python :: 3",
-            "Programming Language :: Python :: 3.9",
-            "Programming Language :: Python :: 3.10",
-            "Programming Language :: Python :: 3.11",
-            "Programming Language :: Python :: 3.12",
-            "Programming Language :: Python :: Implementation :: CPython",
-        ],
-        python_requires=">=3.9",
-        install_requires=min_deps.tag_to_packages["install"],
-        extras_require={
-            "docs": min_deps.tag_to_packages["docs"],
-            "tests": min_deps.tag_to_packages["tests"],
-            "rich": min_deps.tag_to_packages["rich"],
-        },
-        include_package_data=True,
-        packages=find_namespace_packages(include=["skops*"]),
-    )
-
-    setup(**package_data, **metadata)
-
-
-if __name__ == "__main__":
-    setup_package()
diff --git a/skops/_min_dependencies.py b/skops/_min_dependencies.py
deleted file mode 100644
index c90b3716..00000000
--- a/skops/_min_dependencies.py
+++ /dev/null
@@ -1,64 +0,0 @@
-"""All minimum dependencies for scikit-learn."""
-import argparse
-
-# TODO: flaky fails on pytest=8
-PYTEST_MIN_VERSION = "7"
-
-# 'build' and 'install' is included to have structured metadata for CI.
-# It will NOT be included in setup's extras_require
-# The values are (version_spec, comma separated tags, condition)
-# tags can be: 'build', 'install', 'docs', 'examples', 'tests', 'benchmark',
-# 'rich'
-# example:
-#     "tomli": ("1.1.0", "install", "python_full_version < '3.11.0a7'"),
-dependent_packages = {
-    "scikit-learn": ("0.24", "install", None),
-    "huggingface_hub": ("0.17.0", "install", None),
-    "tabulate": ("0.8.8", "install", None),
-    "quantile-forest": ("1.0.0", "tests", None),
-    "pytest": (PYTEST_MIN_VERSION, "tests", None),
-    "pytest-cov": ("2.9.0", "tests", None),
-    "flake8": ("3.8.2", "tests", None),
-    "types-requests": ("2.28.5", "tests", None),
-    "flaky": ("3.7.0", "tests", None),
-    "sphinx": ("3.2.0", "docs", None),
-    "sphinx-gallery": ("0.7.0", "docs", None),
-    "sphinx-rtd-theme": ("1", "docs", None),
-    "numpydoc": ("1.0.0", "docs", None),
-    "sphinx-prompt": ("1.3.0", "docs", None),
-    "sphinx-issues": ("1.2.0", "docs", None),
-    "matplotlib": ("3.3", "docs, tests", None),
-    "packaging": ("17.0", "install", None),
-    "pandas": ("1", "docs, tests", None),
-    # required for persistence tests of external libraries
-    "lightgbm": ("3", "tests", None),
-    "xgboost": ("1.6", "tests", None),
-    # remove python constraint when catboost supports 3.13
-    # https://github.com/catboost/catboost/issues/2748
-    "catboost": ("1.0", "tests", 'python_version < "3.13"'),
-    "fairlearn": ("0.7.0", "docs, tests", None),
-    "rich": ("12", "tests, rich", None),
-}
-
-
-# create inverse mapping for setuptools
-tag_to_packages: dict = {
-    extra: []
-    for extra in ["build", "install", "docs", "examples", "tests", "benchmark", "rich"]
-}
-for package, (min_version, extras, condition) in dependent_packages.items():
-    for extra in extras.split(", "):
-        spec = f"{package}>={min_version}"
-        if condition:
-            spec += f"; {condition}"
-        tag_to_packages[extra].append(spec)
-
-
-# Used by CI to get the min dependencies
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Get min dependencies for a package")
-
-    parser.add_argument("package", choices=dependent_packages)
-    args = parser.parse_args()
-    min_version = dependent_packages[args.package][0]
-    print(min_version)