CI: Python 3.15 builds

.github/actions/build-wheel/action.yml

@@ -104,9 +104,9 @@ runs:
         save: ${{ inputs.ccache-save }}
 
     # Install Astral UV, which will be used as build-frontend for cibuildwheel
-    - uses: astral-sh/setup-uv@v7
+    - uses: astral-sh/setup-uv@v10.3.0
       with:
-        version: "0.9.0"
+        version: "0.12.10"
         enable-cache: false
 
     ### cibuildwheel configuration
@@ -122,7 +122,7 @@ runs:
     #   traversing the full filesystem, which produces an error on Windows.
     # - CIBW_TEST_SKIP we always skip tests for *-macosx_universal2 builds, because we run tests for arm64 and x86_64.
     - name: Build${{ inputs.testsuite != 'none' && ' and test ' || ' ' }}wheel
-      uses: pypa/cibuildwheel@v4.2.0
+      uses: pypa/cibuildwheel@v4.3.1
       env:
         CIBW_ARCHS: ${{ inputs.arch == 'amd64' && 'AMD64' || inputs.arch }}
         CIBW_BUILD: ${{ inputs.python }}-${{ inputs.cibw-system }}_${{ inputs.arch }}

.github/workflows/cleanup_pypi.yml

@@ -70,9 +70,9 @@ jobs:
           exit 1
 
       - name: Install Astral UV
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v10.3.0
         with:
-          version: "0.9.0"
+          version: "0.12.10"
 
       - name: Install dependencies
         run: uv sync --only-group pypi --no-install-project

.github/workflows/code_quality.yml

@@ -29,9 +29,9 @@ jobs:
           persist-credentials: false
 
       - name: Install Astral UV
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v10.3.0
         with:
-          version: "0.9.0"
+          version: "0.12.10"
           python-version: "3.12"
 
       - name: pre-commit (cache)

.github/workflows/coverage.yml

@@ -68,9 +68,9 @@ jobs:
           sudo apt-get -y install ccache
 
       - name: Install Astral UV and enable the cache
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v10.3.0
         with:
-          version: "0.9.0"
+          version: "0.12.10"
           python-version: 3.12
           enable-cache: true
           cache-suffix: -${{ github.workflow }}

.github/workflows/packaging_sdist.yml

@@ -70,9 +70,9 @@ jobs:
           fi
 
       - name: Install Astral UV
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v10.3.0
         with:
-          version: "0.9.0"
+          version: "0.12.10"
           python-version: 3.12
 
       - name: Build sdist

.github/workflows/packaging_wheels.yml

@@ -127,7 +127,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python: [ cp311, cp312, cp313 ]
+        python: [ cp311, cp312, cp313, cp315 ]
         platform:
           - { os: windows-2022,     arch: amd64,      cibw_system: win }
           - { os: windows-11-arm,   arch: ARM64,      cibw_system: win } # cibw requires ARM64 to be uppercase

.github/workflows/targeted_test.yml

@@ -55,9 +55,9 @@ jobs:
           submodules: true
 
       - name: Install uv
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v10.3.0
         with:
-          version: "0.9.0"
+          version: "0.12.10"
           enable-cache: false
           python-version: ${{ inputs.python_version }}
 

pyproject.toml

@@ -29,6 +29,7 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
     "Programming Language :: Python :: 3.14",
+    "Programming Language :: Python :: 3.15",
     "Programming Language :: C++",
 ]
 authors = [{name = "DuckDB Foundation"}]
@@ -198,16 +199,14 @@ exclude = [
 #
 # This section has dependency groups for testing and development. Tread carefully, the current setup makes sure that
 # test dependencies can be installed on as many platforms we build wheel for. Especially picky are:
-# - tensorflow: we can only run tests on cp310-cp311, for osx there is no tensorflow-cpu, for windows we need
-#          tensorflow-cpu-aws and there is no distribution availalbe for Linux aarch64.
+# - tensorflow: wheels exist for cp310-cp313 only. tensorflow-cpu covers Linux x86_64 and Windows AMD64. The full
+#          tensorflow package covers macOS arm64 and Linux aarch64. There are no wheels for macOS x86_64 or Windows
+#          ARM64. >=2.20 is first release w/o a numpy upper bound.
 # - torch: since we can't use gpu acceleration, we need to rely on torch-cpu, which isn't available on pypi. We use
 #          `tool.uv.index` and `tool.uv.sources` to make sure the official pytorch index is used. Even there, we don't
 #          have a wheel available for x86_64 OSX + cp313.
-# - numpy: tensorflow doesn't play nice with numpy>2 so for every platform that can run tensorflow (cp310-cp311) we use
-#          numpy<2. numpy<2 has no wheels for cp31[2|3], meaning an sdist will be used. However, on Windows amd64 +
-#          cp313 this results in a segfault / access violation. To get around this, we install numpy>=2 on all >=cp312
-#          platforms. Then for windows arm64, for which there is no tensorflow, we only allow numpy>=2.3 because that
-#          ships arm64 win32 wheels.
+# - numpy: numpy 1.x is EOL and pyarrow>=26 requires numpy>=2, so numpy>=2 everywhere. Windows ARM64 needs
+#          numpy>=2.3 because that is the first release with win32 arm64 wheels.
 ######################################################################################################
 
 [tool.uv]
@@ -256,7 +255,7 @@ stubdeps = [ # dependencies used for typehints in the stubs
     "typing-extensions",
 ]
 test = [ # dependencies used for running tests
-    "adbc-driver-manager>=1.10.0; python_version >= '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "adbc-driver-manager>=1.10.0; python_version >= '3.10' and python_version < '3.15' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "adbc-driver-manager>=1.7.0; python_version < '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "pytest",
     "pytest-reraise",
@@ -277,35 +276,37 @@ test = [ # dependencies used for running tests
     "requests",
     "urllib3",
     "fsspec>=2022.11.0; sys_platform != 'win32' or platform_machine != 'ARM64'",
-    "pandas>=3.0.0; python_version > '3.10'",
+    "pandas>=3.0.0; python_version >= '3.11' and python_version < '3.15'",
+    "pandas>=3.0.6; python_version >= '3.15'",
     "pandas<3.0.0; python_version < '3.11'",
-    "pyarrow>=23.0.0; python_version >= '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "pyarrow>=23.0.0; python_version >= '3.10' and python_version < '3.15' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "pyarrow>=26.0.0; python_version >= '3.15' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "pyarrow>=18.0.0; python_version < '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "torch>=2.2.2; python_version < '3.13' and ( sys_platform != 'win32' or platform_machine != 'ARM64' )",
     "torch>=2.2.2,<2.12.1; python_version > '3.11' and python_version < '3.13' and sys_platform == 'win32' and platform_machine == 'ARM64'",
     "torch>=2.2.2,<2.11.0; python_version >= '3.13' and python_version < '3.14' and ( sys_platform != 'darwin' or platform_machine != 'x86_64' ) and ( sys_platform != 'win32' or platform_machine != 'ARM64' )",
     "torch>=2.10.0; python_version >= '3.14' and ( sys_platform != 'darwin' or platform_machine != 'x86_64' ) and ( sys_platform != 'win32' or platform_machine != 'ARM64' )",
-    "tensorflow==2.14.0; sys_platform == 'darwin' and python_version < '3.12'",
-    "tensorflow-cpu>=2.14.0; sys_platform == 'linux' and platform_machine != 'aarch64' and python_version < '3.12'",
-    "tensorflow-cpu>=2.14.0; sys_platform == 'win32' and platform_machine != 'ARM64' and python_version < '3.12'",
-    "tensorflow-cpu-aws==2.15.1; sys_platform == 'linux' and platform_machine == 'aarch64' and python_version < '3.12'",
+    "tensorflow-cpu>=2.20.0; python_version < '3.14' and ( ( sys_platform == 'linux' and platform_machine == 'x86_64' ) or ( sys_platform == 'win32' and platform_machine == 'AMD64' ) )",
+    "tensorflow>=2.20.0; python_version < '3.14' and ( ( sys_platform == 'darwin' and platform_machine == 'arm64' ) or ( sys_platform == 'linux' and platform_machine == 'aarch64' ) )",
     "typing-extensions",
-    "numpy<2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version < '3.12'",
-    "numpy>=2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version >= '3.12'",
-    "numpy>=2.3; sys_platform == 'win32' and platform_machine == 'ARM64' and python_version >= '3.11'",
+    "numpy>=2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version < '3.15'",
+    "numpy>=2.3; sys_platform == 'win32' and platform_machine == 'ARM64' and python_version >= '3.11' and python_version < '3.15'",
+    "numpy>=2.5.2; python_version >= '3.15'",
 ]
 bench = [ # Pinned deps for the benchmark suite (see benchmarks/README.md). Minimal, not the heavy `test` group.
           # Constraints mirror `test` so the lockfile resolves identically; torch/tf are local-only (importorskip).
     "pytest",
     "pytest_codspeed",
     "polars>=1.33.0",
     "pytz",
-    "numpy<2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version < '3.12'",
-    "numpy>=2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version >= '3.12'",
-    "numpy>=2.3; sys_platform == 'win32' and platform_machine == 'ARM64' and python_version >= '3.11'",
-    "pandas>=3.0.0; python_version > '3.10'",
+    "numpy>=2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version < '3.15'",
+    "numpy>=2.3; sys_platform == 'win32' and platform_machine == 'ARM64' and python_version >= '3.11' and python_version < '3.15'",
+    "numpy>=2.5.2; python_version >= '3.15'",
+    "pandas>=3.0.0; python_version >= '3.11' and python_version < '3.15'",
+    "pandas>=3.0.6; python_version >= '3.15'",
     "pandas<3.0.0; python_version < '3.11'",
-    "pyarrow>=23.0.0; python_version >= '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "pyarrow>=23.0.0; python_version >= '3.10' and python_version < '3.15' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "pyarrow>=26.0.0; python_version >= '3.15' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "pyarrow>=18.0.0; python_version < '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
 ]
 scripts = [ # dependencies used for running scripts
@@ -328,6 +329,11 @@ build = [
     "ninja>=1.10",
     "nanobind>=3.0",
     "scikit_build_core>=0.11.4",
+    # numpy C API headers; mirrors [build-system].requires, needed because the dev flow uses
+    # --no-build-isolation. Markers match the test/bench groups so the lock resolves.
+    "numpy>=2; ( sys_platform != 'win32' or platform_machine != 'ARM64' ) and python_version < '3.15'",
+    "numpy>=2.3; sys_platform == 'win32' and platform_machine == 'ARM64' and python_version >= '3.11' and python_version < '3.15'",
+    "numpy>=2.5.2; python_version >= '3.15'",
 ]
 dev = [ # tooling like uv will install this automatically when syncing the environment
     "pre-commit",
@@ -363,6 +369,8 @@ filterwarnings = [
     # Pyspark is throwing these warnings
     "ignore:distutils Version classes are deprecated:DeprecationWarning",
     "ignore:is_datetime64tz_dtype is deprecated:DeprecationWarning",
+    # pandas 3.1.0.dev0 deprecates the inplace keyword with a warning
+    "ignore::pandas.errors.Pandas4Warning",
 ]
 
 [tool.mypy]