diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 3efba9a..d95b182 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -28,8 +28,15 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ["3.10", "3.11", "3.12"]
+        python-version: ["3.12", "3.13", "3.14"]
         min: [""]
+        exclude:
+          # tensorstore has no clean cp314 Windows wheel: the first one (0.1.79)
+          # and everything >=0.1.77 crash at interpreter shutdown on Windows
+          # (google/tensorstore#275), and there's no earlier cp314 wheel to pin
+          # to. Drop this leg until tensorstore ships a fix.
+          - os: windows-latest
+            python-version: "3.14"
         include:
           - os: ubuntu-latest
             python-version: "3.12"
@@ -51,7 +58,7 @@ jobs:
 
       - run: uv run coverage run -p -m pytest --color=yes -v
 
-      - uses: actions/upload-artifact@v6
+      - uses: actions/upload-artifact@v7
         with:
           name: covreport-${{ matrix.os }}-py${{ matrix.python-version }}-${{ matrix.min }}
           path: ./.coverage*
@@ -82,7 +89,7 @@ jobs:
       contents: write
     steps:
       - name: Download built artifact to dist/
-        uses: actions/download-artifact@v7
+        uses: actions/download-artifact@v8
         with:
           name: Packages
           path: dist
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index ad1c033..13ff634 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -5,29 +5,29 @@ ci:
 
 repos:
   - repo: https://github.com/abravalheri/validate-pyproject
-    rev: v0.24.1
+    rev: v0.25
     hooks:
       - id: validate-pyproject
 
   - repo: https://github.com/adhtruong/mirrors-typos
-    rev: v1.41.0
+    rev: v1.47.2
     hooks:
       - id: typos
         args: [--force-exclude]  # omitting --write-changes
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.10
+    rev: v0.15.19
     hooks:
       - id: ruff-check
       - id: ruff-format
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.19.1
+    rev: v2.1.0
     hooks:
       - id: mypy
         files: "^src/"
         additional_dependencies:
-          - numpy<2.0
+          - numpy
           - pydantic
           - pydantic-settings
           - xarray
diff --git a/pyproject.toml b/pyproject.toml
index 79d323d..b986617 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,28 +17,40 @@ name = "microsim"
 dynamic = ["version"]
 description = "Light microscopy simulation in python"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.12"
 license = { text = "BSD-3-Clause" }
 authors = [{ name = "Talley Lambert", email = "talley.lambert@gmail.com" }]
 classifiers = [
     "Development Status :: 2 - Pre-Alpha",
     "License :: OSI Approved :: BSD License",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.10",
-    "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
     "Typing :: Typed",
 ]
 dependencies = [
     "annotated-types >=0.7.0",
-    "numpy >=1.26,<2.0",             # something still breaks with 2+
+    # min pins per-python reflect the first release shipping a wheel for that
+    # interpreter (newer pythons need newer compiled deps).
+    "numpy >=2.3.2; python_version >= '3.14'",
+    "numpy >=2.1.0; python_version >= '3.13'",
+    "numpy >=2.0",
     "pint >=0.23",
     "platformdirs >=4.3.6",
+    "pydantic >=2.12; python_version >= '3.14'",
     "pydantic >=2.8",
     "fpbase",
     "pydantic-settings >2.5.0",
+    "scipy >=1.16.1; python_version >= '3.14'",
     "scipy >=1.15.2",
-    "tensorstore >=0.1.70,!=0.1.72",
+    # tensorstore >=0.1.77 crashes at interpreter shutdown on Windows when the
+    # S3/HTTP transport has been used (google/tensorstore#275). Pin below it on
+    # Windows where a clean wheel exists (no cp314 wheel before 0.1.79, so
+    # py3.14 can't be pinned and is unaffected by this cap).
+    "tensorstore <0.1.77; sys_platform == 'win32' and python_version < '3.14'",
+    "tensorstore >=0.1.79; python_version >= '3.14'",
+    "tensorstore >=0.1.76",
     "tqdm >=4.67.1",
     "xarray >=2024.1.0",
     "zarr >=2.17,<3.0",
@@ -50,7 +62,13 @@ repository = "https://github.com/tlambert03/microsim"
 
 # # https://peps.python.org/pep-0621/#dependencies-optional-dependencies
 [project.optional-dependencies]
-view = ["ndv[pyqt,vispy]", "matplotlib>=3.10.1", "pyopengl-accelerate"]
+view = [
+    "ndv[pyqt,vispy]",
+    "matplotlib>=3.10.5; python_version >= '3.14'",
+    "matplotlib>=3.10.1",
+    # optional OpenGL speedup; no cp314 wheel and fails to build from source
+    "pyopengl-accelerate>=3.1.9; python_version < '3.14'",
+]
 io = ["tifffile>=2025.2.18", "imageio[ffmpeg]>=2.22"]
 cosem = [
     "dask>=2024.1.0",
@@ -61,11 +79,7 @@ cosem = [
     "xarray-datatree>=0.0.14",
 ]
 torch = ["torch>=2.6.0", "torchaudio>=2.7.0"]
-jax = [
-    "jax[cpu]>=0.5.2",
-    "dm-tree ==0.1.8; sys_platform == 'darwin'",
-    "dm-tree >=0.1.7",
-]
+jax = ["jax[cpu]>=0.5.2"]
 all = ["microsim[view,io,cosem]", "rich>=13"]
 
 [dependency-groups]
@@ -73,14 +87,14 @@ test = ["pytest>=8.3.5", "pytest-cov>=6.0.0"]
 dev = [
     { include-group = "test" },
     "microsim[all,jax,torch]",
-    "boto3-stubs[s3]",
-    "ipython",
-    "mypy",
     "pdbpp; sys_platform == 'darwin'",
-    "pre-commit-uv",
-    "rich",
-    "ruff",
-    "types-tqdm",
+    "prek>=0.4.5",
+    "rich>=15.0.0",
+    "ruff>=0.15.18",
+    "types-tqdm>=4.68.0.20260608",
+    "mypy>=2.1.0",
+    "ipython>=9.14.1",
+    "boto3-stubs[s3]>=1.43.34",
 ]
 docs = [
     "mkdocs >=1.5.3",
@@ -90,15 +104,20 @@ docs = [
     "mkdocstrings-python ==1.9.2",
     "mkdocs-jupyter==0.24.8",
     "griffe==0.45.3",
-    "griffe-fieldz",
+    "griffe-fieldz==0.1.2",  # 0.5.0 needs a newer griffe than the pin above
 ]
 
+[tool.uv]
+# pillow (transitive via matplotlib/imageio) only ships cp314 wheels from 11.3.0
+constraint-dependencies = ["pillow>=11.3.0; python_version >= '3.14'"]
+
 [tool.uv.sources]
 microsim = { workspace = true }
 
 
 [tool.ruff]
 line-length = 88
+target-version = "py312"
 src = ["src"]
 fix = true
 unsafe-fixes = true
@@ -167,6 +186,14 @@ filterwarnings = [
     "ignore:unclosed transport:ResourceWarning",                     # only on py3.10... not sure why
     "ignore:Clipping negative intensity values:UserWarning",         # when importing FPbase spectra
     "ignore:__array__ implementation doesn't accept a copy keyword",
+    # xarray triggers this numpy>=2.4 deprecation at import time (xarray/core/dtypes.py)
+    "ignore:The 'generic' unit for NumPy timedelta is deprecated:DeprecationWarning",
+    # py3.14's GC surfaces unclosed sockets/responses from third-party network
+    # clients (supabase/s3fs/urllib) as fatal unraisable ResourceWarnings.
+    "ignore::ResourceWarning",
+    "ignore::pytest.PytestUnraisableExceptionWarning",
+    # supabase>=2.31 passes now-deprecated params (timeout/verify/proxy) to postgrest
+    "ignore:The '.*' parameter is deprecated:DeprecationWarning",
 ]
 
 # https://coverage.readthedocs.io/en/6.4/config.html
diff --git a/src/microsim/_data_array.py b/src/microsim/_data_array.py
index f00fe28..93a805c 100644
--- a/src/microsim/_data_array.py
+++ b/src/microsim/_data_array.py
@@ -3,6 +3,7 @@
 from collections.abc import Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Protocol, cast, runtime_checkable
 
+import numpy as np
 import xarray
 from pydantic import BaseModel
 
@@ -10,7 +11,6 @@
     from collections.abc import Hashable, Iterable, Mapping, Sequence
     from pathlib import Path
 
-    import numpy as np
     import numpy.typing as npt
 
     from microsim.schema.backend import NumpyAPI
@@ -82,6 +82,9 @@ def to_cache(da: xrDataArray, path: Path, dtype: npt.DTypeLike | None = None) ->
     da.attrs = _serializable_attrs(da.attrs)
     if hasattr(da.data, "get"):
         da.data = da.data.get()
+    # coerce to a contiguous numpy array: numcodecs calls np.array(..., copy=False),
+    # which raises on numpy>=2 for non-contiguous or non-numpy (e.g. jax) buffers.
+    da.data = np.ascontiguousarray(da.data)
     da.to_zarr(path, mode="w")
 
 
diff --git a/src/microsim/cosem/_client.py b/src/microsim/cosem/_client.py
index 2d859e7..dcb2393 100644
--- a/src/microsim/cosem/_client.py
+++ b/src/microsim/cosem/_client.py
@@ -5,7 +5,7 @@
 import os
 import urllib.response
 from contextlib import suppress
-from urllib.error import URLError
+from urllib.error import HTTPError, URLError
 
 try:
     import boto3
@@ -26,7 +26,7 @@
 from functools import cache
 from pathlib import Path
 from types import MappingProxyType
-from typing import TYPE_CHECKING, Any, TypeVar, get_args
+from typing import TYPE_CHECKING, Any, get_args
 
 import tqdm
 from pydantic import BaseModel
@@ -107,7 +107,12 @@ def _guess_cosem_url_key() -> tuple[str, str]:
                     url = js_text.split("SUPABASE_URL:")[1].split(",")[0].strip("\"'")
                     key = js_text.split("SUPABASE_KEY:")[1].split(",")[0].strip("\"'")
                     return url, key
-            except URLError:
+            except URLError as e:
+                # HTTPError (raised by urlopen on e.g. a 404) is a file-like
+                # object holding an open socket; close it so it isn't reclaimed
+                # later as a ResourceWarning (fatal under filterwarnings=error).
+                if isinstance(e, HTTPError):
+                    e.close()
                 continue
     except Exception as e:
         raise ValueError(f"Failed to fetch Supabase URL and key: {e}") from e
@@ -203,10 +208,7 @@ def _collect_fields(model: type[BaseModel]) -> Iterator[str | tuple]:
             yield field
 
 
-T = TypeVar("T", bound=BaseModel)
-
-
-def fetch_all(type_: type[T]) -> tuple[T, ...]:
+def fetch_all[T: BaseModel](type_: type[T]) -> tuple[T, ...]:
     table_name = type_.__name__.lower().replace("cosem", "")
     query = model_query(type_)
     try:
diff --git a/src/microsim/fft/convolve.py b/src/microsim/fft/convolve.py
index 95182cf..26d57f5 100644
--- a/src/microsim/fft/convolve.py
+++ b/src/microsim/fft/convolve.py
@@ -7,8 +7,10 @@
 
 
 @no_type_check
-def _apply_conv_mode_no_copy(ret, s1, s2, mode, axes):
-    # same as scipy.signal._signaltools._apply_conv_mode but without the .copy() call
+def _apply_conv_mode_no_copy(ret, s1, s2, mode, axes, xp=None):
+    # same as scipy.signal._signaltools._apply_conv_mode but without the copy.
+    # `xp` is accepted (and ignored) for compatibility with scipy >=1.15, which
+    # added an array-namespace argument and copies via `xp_copy(..., xp=xp)`.
     if mode == "full":
         return ret
     elif mode == "same":
diff --git a/src/microsim/illum/_sim.py b/src/microsim/illum/_sim.py
index 89f8e33..9f62201 100644
--- a/src/microsim/illum/_sim.py
+++ b/src/microsim/illum/_sim.py
@@ -54,7 +54,7 @@ def axial_sim_plane(
         wvl: float = 0.488,
     ) -> np.ndarray:
         """Return single axial SIM illumination plane."""
-        return structillum_2d(  # type: ignore [no-any-return]
+        return structillum_2d(
             nz=nz + 1,
             nx=nx,
             dz=dz,
diff --git a/src/microsim/schema/_validators.py b/src/microsim/schema/_validators.py
index d68ca30..efbb8ee 100644
--- a/src/microsim/schema/_validators.py
+++ b/src/microsim/schema/_validators.py
@@ -14,7 +14,7 @@
 
 def validate_np_dtype(x: Any) -> np.dtype:
     try:
-        return np.dtype(x)
+        return np.dtype(x)  # type: ignore [no-any-return]
     except Exception as e:
         raise ValueError(f"Cannot cast {x!r} to a numpy dtype: {e}") from e
 
diff --git a/src/microsim/schema/backend.py b/src/microsim/schema/backend.py
index 8099127..7864e8d 100644
--- a/src/microsim/schema/backend.py
+++ b/src/microsim/schema/backend.py
@@ -12,16 +12,16 @@
 if TYPE_CHECKING:
     from collections.abc import Sequence
     from types import ModuleType
-    from typing import SupportsIndex, TypeAlias
+    from typing import SupportsIndex
 
     import jax
 
     from microsim._data_array import ArrayProtocol
 
-    _Shape: TypeAlias = tuple[int, ...]
+    type _Shape = tuple[int, ...]
 
     # Anything that can be coerced to a shape tuple
-    _ShapeLike: TypeAlias = SupportsIndex | Sequence[SupportsIndex]
+    type _ShapeLike = SupportsIndex | Sequence[SupportsIndex]
 
 DeviceName = Literal["cpu", "gpu", "auto"]
 BackendName = Literal["numpy", "torch", "jax", "cupy", "auto"]
@@ -93,14 +93,14 @@ def asarray(
         return self.xp.asarray(x, dtype=dtype)
 
     def zeros(
-        self, shape: int | Sequence[int], dtype: npt.DTypeLike = None
+        self, shape: int | Sequence[int], dtype: npt.DTypeLike | None = None
     ) -> npt.NDArray:
         if dtype is None:
             dtype = self.float_dtype
         return self.xp.zeros(shape, dtype=dtype)
 
     def ones(
-        self, shape: int | Sequence[int], dtype: npt.DTypeLike = None
+        self, shape: int | Sequence[int], dtype: npt.DTypeLike | None = None
     ) -> npt.NDArray:
         if dtype is None:
             dtype = self.float_dtype
diff --git a/src/microsim/schema/dimensions.py b/src/microsim/schema/dimensions.py
index 32fb9d8..efc6f77 100644
--- a/src/microsim/schema/dimensions.py
+++ b/src/microsim/schema/dimensions.py
@@ -15,7 +15,7 @@
     - here intensity values correspond to gray values (0-255) in the image.
 """
 
-from enum import Enum
+from enum import StrEnum
 from typing import NamedTuple
 
 
@@ -31,7 +31,7 @@ def categorical(self) -> bool:
         return self.category_type is not None
 
 
-class Axis(str, Enum):
+class Axis(StrEnum):
     """Named axes used in microsim."""
 
     X = "x"
diff --git a/src/microsim/schema/modality/_simple_psf.py b/src/microsim/schema/modality/_simple_psf.py
index 16a15ca..586fcb8 100644
--- a/src/microsim/schema/modality/_simple_psf.py
+++ b/src/microsim/schema/modality/_simple_psf.py
@@ -265,7 +265,10 @@ def bin_spectrum(
     # a bin length of at least min_bin_length and at most max_bin_length
     if isinstance(bins, int):
         num_bins = bins
-        w_min, w_max = masked.w.min(), masked.w.max()
+        # cast to float: passing 0-d xarray DataArrays to np.linspace triggers
+        # __array_wrap__ on numpy >=2, which rewraps the result into a Variable
+        # with mismatched dims.
+        w_min, w_max = float(masked.w.min()), float(masked.w.max())
         w_range = w_max - w_min
         bin_length = w_range / num_bins
         if max_bin_length is not None:
diff --git a/src/microsim/schema/simulation.py b/src/microsim/schema/simulation.py
index 020c03d..ed4f402 100644
--- a/src/microsim/schema/simulation.py
+++ b/src/microsim/schema/simulation.py
@@ -336,6 +336,9 @@ def _write(self, result: xr.DataArray) -> None:
             return
         if hasattr(result.data, "get"):
             result = result.copy(data=result.data.get(), deep=False)
+        # coerce backend arrays (e.g. jax) to a contiguous numpy array; numcodecs
+        # calls np.array(..., copy=False), which raises on numpy>=2 otherwise.
+        result = result.copy(data=np.ascontiguousarray(result.data), deep=False)
         with suppress(Exception):
             try:
                 sim_data = self.model_dump_json()
diff --git a/src/microsim/schema/space.py b/src/microsim/schema/space.py
index 3467616..5a317d9 100644
--- a/src/microsim/schema/space.py
+++ b/src/microsim/schema/space.py
@@ -1,5 +1,5 @@
 from collections.abc import Callable, Sequence
-from typing import Any, Protocol, TypeVar, runtime_checkable
+from typing import TYPE_CHECKING, Any, Protocol, TypeVar, runtime_checkable
 
 import numpy as np
 from pydantic import (
@@ -16,6 +16,9 @@
 from ._base_model import SimBaseModel
 from .dimensions import Axis
 
+if TYPE_CHECKING:
+    from typing import Self
+
 
 class FloatArray(Sequence[float]):
     @classmethod
@@ -111,10 +114,10 @@ def _cast_axes(cls, value: Any) -> tuple[Axis, ...]:
         return tuple(value)
 
     @model_validator(mode="after")
-    def _validate_axes_space(cls, value: Any) -> Any:
-        shape = getattr(value, "shape", ())
-        scale = getattr(value, "scale", ())
-        axes = getattr(value, "axes", ())
+    def _validate_axes_space(self) -> "Self":
+        shape = getattr(self, "shape", ())
+        scale = getattr(self, "scale", ())
+        axes = getattr(self, "axes", ())
         ndim = len(shape)
         if len(scale) != ndim:
             raise ValueError(
@@ -122,8 +125,8 @@ def _validate_axes_space(cls, value: Any) -> Any:
             )
         if len(axes) < ndim:
             raise ValueError(f"Only {len(axes)} axes provided but got {ndim} dims")
-        object.__setattr__(value, "axes", axes[-ndim:] if ndim else ())
-        return value
+        object.__setattr__(self, "axes", axes[-ndim:] if ndim else ())
+        return self
 
 
 class ShapeScaleSpace(_AxesSpace):
diff --git a/src/microsim/schema/spectrum.py b/src/microsim/schema/spectrum.py
index 7623312..445ab6f 100644
--- a/src/microsim/schema/spectrum.py
+++ b/src/microsim/schema/spectrum.py
@@ -46,7 +46,7 @@ def _validate_intensity(cls, value: np.ndarray) -> np.ndarray:
     @model_validator(mode="before")
     def _cast_spectrum(cls, value: Any) -> Any:
         if isinstance(value, list | tuple):
-            data = np.asarray(value)
+            data: np.ndarray = np.asarray(value)
             if not data.ndim == 2:
                 raise ValueError("Spectrum data must be 2D")
             if not data.shape[1] == 2:
@@ -99,7 +99,8 @@ def inverted(self) -> "Spectrum":
         return self.model_copy(update={"intensity": 1 - self.intensity})
 
     def integral(self) -> float:
-        return np.trapz(self.intensity, self.wavelength)  # type: ignore [no-any-return]
+        # np.trapz was removed in numpy 2.0 in favor of np.trapezoid
+        return np.trapezoid(self.intensity, self.wavelength)  # type: ignore [no-any-return]
 
     def __mul__(self, other: "float | pint.Quantity | Spectrum") -> "Spectrum":
         if isinstance(other, pint.Quantity):
diff --git a/src/microsim/util.py b/src/microsim/util.py
index 0eefe5e..bfc642a 100644
--- a/src/microsim/util.py
+++ b/src/microsim/util.py
@@ -470,7 +470,7 @@ def _colorize(
 
     # add them all together
     summed = np.sum(np.stack(colorized), axis=0)[..., :3]  # drop alpha channel
-    return (summed * 255).astype(np.uint8)  # type: ignore
+    return (summed * 255).astype(np.uint8)
 
 
 def animate(
diff --git a/src/microsim/xarray_jax.py b/src/microsim/xarray_jax.py
index a92a97e..bc8a4ff 100644
--- a/src/microsim/xarray_jax.py
+++ b/src/microsim/xarray_jax.py
@@ -123,12 +123,24 @@ def foo(input: xarray.Dataset) -> xarray.Dataset:
 import numpy as np
 import xarray
 
-try:
-    import tree
-except ImportError:
-    raise ImportError(
-        "dm-tree is required when using jax.  Please `pip install dm-tree`."
-    )
+
+def _map_structure(func, structure):
+    """Minimal replacement for ``dm-tree``'s ``tree.map_structure``.
+
+    Recurses through (possibly nested) list/tuple/dict/namedtuple containers,
+    applying ``func`` to every leaf (anything that isn't one of those
+    containers). This lets us avoid the dm-tree dependency, which lags on new
+    Python versions.
+    """
+    if isinstance(structure, tuple) and hasattr(structure, "_fields"):  # namedtuple
+        return type(structure)(*(_map_structure(func, v) for v in structure))
+    if isinstance(structure, (list, tuple)):
+        return type(structure)(_map_structure(func, v) for v in structure)
+    if isinstance(structure, dict):
+        return type(structure)(
+            (k, _map_structure(func, v)) for k, v in structure.items()
+        )
+    return func(structure)
 
 
 def Variable(dims, data, **kwargs) -> xarray.Variable:  # pylint:disable=invalid-name
@@ -381,11 +393,11 @@ def _wrapped(func):
     """Surrounds a function with JAX array unwrapping/wrapping."""
 
     def wrapped_func(*args, **kwargs):
-        args, kwargs = tree.map_structure(unwrap, (args, kwargs))
+        args, kwargs = _map_structure(unwrap, (args, kwargs))
         if "order" in kwargs and kwargs["order"] == "A":
             kwargs.pop("order")
         result = func(*args, **kwargs)
-        return tree.map_structure(wrap, result)
+        return _map_structure(wrap, result)
 
     return wrapped_func
 
diff --git a/tests/_util.py b/tests/_util.py
index 3e12192..a417956 100644
--- a/tests/_util.py
+++ b/tests/_util.py
@@ -7,7 +7,8 @@
 try:
     if os.getenv("MICROSIM_TEST_NO_INTERNET"):
         raise OSError("Skipping internet test due to MICROSIM_TEST_NO_INTERNET")
-    socket.create_connection(("8.8.8.8", 53), timeout=1)
+    with socket.create_connection(("8.8.8.8", 53), timeout=1):
+        pass
     HAVE_INTERNET = True
 except OSError:
     HAVE_INTERNET = False
diff --git a/tests/test_docs.py b/tests/test_docs.py
index e17ff75..16ea5c9 100644
--- a/tests/test_docs.py
+++ b/tests/test_docs.py
@@ -33,13 +33,17 @@ def test_docs(doc: Path, tmp_path: Path) -> None:
                 lines = [x[3:] for x in lines]
 
     blocks = [dedent(match.group(1)) for match in CODE_BLOCK.finditer(source)]
+    # share a single namespace across blocks so names (e.g. imports) from earlier
+    # blocks stay visible in later ones. Bare `exec(block)` used to leak through
+    # the function's locals, but PEP 667 ended that on py3.13+.
+    namespace: dict[str, object] = {}
     for n, block in enumerate(blocks):
         lines = [x for x in block.splitlines() if not x.lstrip().startswith("#")]
         if doc.name == "stages.md":
             lines = _fill_in_stages(lines)
         block = "\n".join(lines)
         try:
-            exec(block)
+            exec(block, namespace)
         except Exception as e:
             raise ValueError(
                 f"Error in docs file {doc}\n"
diff --git a/uv.lock b/uv.lock
index 1743699..020b867 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,119 +1,23 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.12"
 resolution-markers = [
-    "python_full_version >= '3.13' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
-    "python_full_version < '3.11' and sys_platform == 'darwin'",
-    "python_full_version >= '3.13' and sys_platform != 'darwin'",
-    "python_full_version == '3.12.*' and sys_platform != 'darwin'",
-    "python_full_version == '3.11.*' and sys_platform != 'darwin'",
-    "python_full_version < '3.11' and sys_platform != 'darwin'",
+    "python_full_version >= '3.15' and sys_platform == 'win32'",
+    "python_full_version >= '3.15' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.14.*' and sys_platform == 'win32'",
+    "python_full_version == '3.14.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.13' and sys_platform == 'win32'",
+    "python_full_version < '3.13' and sys_platform == 'emscripten'",
+    "python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 
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@@ -1746,12 +1666,11 @@ dependencies = [
     { name = "pydantic" },
     { name = "pydantic-settings" },
     { name = "scipy" },
-    { name = "tensorstore", version = "0.1.74", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" },
-    { name = "tensorstore", version = "0.1.75", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" },
+    { name = "tensorstore", version = "0.1.76", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14' and sys_platform == 'win32'" },
+    { name = "tensorstore", version = "0.1.84", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14' or sys_platform != 'win32'" },
     { name = "tqdm" },
     { name = "xarray" },
-    { name = "zarr", version = "2.18.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "zarr", version = "2.18.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "zarr" },
 ]
 
 [package.optional-dependencies]
@@ -1761,7 +1680,7 @@ all = [
     { name = "imageio", extra = ["ffmpeg"] },
     { name = "matplotlib" },
     { name = "ndv", extra = ["pyqt", "vispy"] },
-    { name = "pyopengl-accelerate" },
+    { name = "pyopengl-accelerate", marker = "python_full_version < '3.14'" },
     { name = "rich" },
     { name = "s3fs" },
     { name = "supabase" },
@@ -1781,7 +1700,6 @@ io = [
     { name = "tifffile" },
 ]
 jax = [
-    { name = "dm-tree" },
     { name = "jax" },
 ]
 torch = [
@@ -1791,18 +1709,17 @@ torch = [
 view = [
     { name = "matplotlib" },
     { name = "ndv", extra = ["pyqt", "vispy"] },
-    { name = "pyopengl-accelerate" },
+    { name = "pyopengl-accelerate", marker = "python_full_version < '3.14'" },
 ]
 
 [package.dev-dependencies]
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     { name = "boto3-stubs", extra = ["s3"] },
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-    { name = "ipython", version = "9.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "ipython" },
     { name = "microsim", extra = ["all", "jax", "torch"] },
     { name = "mypy" },
     { name = "pdbpp", marker = "sys_platform == 'darwin'" },
-    { name = "pre-commit-uv" },
+    { name = "prek" },
     { name = "pytest" },
     { name = "pytest-cov" },
     { name = "rich" },
@@ -1831,32 +1748,38 @@ requires-dist = [
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     { name = "dask", marker = "extra == 'all'", specifier = ">=2024.1.0" },
     { name = "dask", marker = "extra == 'cosem'", specifier = ">=2024.1.0" },
-    { name = "dm-tree", marker = "sys_platform == 'darwin' and extra == 'jax'", specifier = "==0.1.8" },
-    { name = "dm-tree", marker = "extra == 'jax'", specifier = ">=0.1.7" },
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     { name = "jax", extras = ["cpu"], marker = "extra == 'jax'", specifier = ">=0.5.2" },
+    { name = "matplotlib", marker = "python_full_version >= '3.14' and extra == 'all'", specifier = ">=3.10.5" },
+    { name = "matplotlib", marker = "python_full_version >= '3.14' and extra == 'view'", specifier = ">=3.10.5" },
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     { name = "ndv", extras = ["pyqt", "vispy"], marker = "extra == 'all'" },
     { name = "ndv", extras = ["pyqt", "vispy"], marker = "extra == 'view'" },
-    { name = "numpy", specifier = ">=1.26,<2.0" },
+    { name = "numpy", specifier = ">=2.0" },
+    { name = "numpy", marker = "python_full_version >= '3.13'", specifier = ">=2.1.0" },
+    { name = "numpy", marker = "python_full_version >= '3.14'", specifier = ">=2.3.2" },
     { name = "pint", specifier = ">=0.23" },
     { name = "platformdirs", specifier = ">=4.3.6" },
     { name = "pydantic", specifier = ">=2.8" },
+    { name = "pydantic", marker = "python_full_version >= '3.14'", specifier = ">=2.12" },
     { name = "pydantic-settings", specifier = ">2.5.0" },
-    { name = "pyopengl-accelerate", marker = "extra == 'all'" },
-    { name = "pyopengl-accelerate", marker = "extra == 'view'" },
+    { name = "pyopengl-accelerate", marker = "python_full_version < '3.14' and extra == 'all'", specifier = ">=3.1.9" },
+    { name = "pyopengl-accelerate", marker = "python_full_version < '3.14' and extra == 'view'", specifier = ">=3.1.9" },
     { name = "rich", marker = "extra == 'all'", specifier = ">=13" },
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     { name = "s3fs", marker = "extra == 'cosem'", specifier = ">=0.4.2" },
     { name = "scipy", specifier = ">=1.15.2" },
+    { name = "scipy", marker = "python_full_version >= '3.14'", specifier = ">=1.16.1" },
     { name = "supabase", marker = "extra == 'all'", specifier = ">=2.13.0" },
     { name = "supabase", marker = "extra == 'cosem'", specifier = ">=2.13.0" },
-    { name = "tensorstore", specifier = ">=0.1.70,!=0.1.72" },
+    { name = "tensorstore", specifier = ">=0.1.76" },
+    { name = "tensorstore", marker = "python_full_version >= '3.14'", specifier = ">=0.1.79" },
+    { name = "tensorstore", marker = "python_full_version < '3.14' and sys_platform == 'win32'", specifier = "<0.1.77" },
     { name = "tifffile", marker = "extra == 'all'", specifier = ">=2025.2.18" },
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@@ -1871,21 +1794,21 @@ provides-extras = ["all", "cosem", "io", "jax", "torch", "view"]
 
 [package.metadata.requires-dev]
 dev = [
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-    { name = "ipython" },
+    { name = "boto3-stubs", extras = ["s3"], specifier = ">=1.43.34" },
+    { name = "ipython", specifier = ">=9.14.1" },
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-    { name = "mypy" },
+    { name = "mypy", specifier = ">=2.1.0" },
     { name = "pdbpp", marker = "sys_platform == 'darwin'" },
-    { name = "pre-commit-uv" },
+    { name = "prek", specifier = ">=0.4.5" },
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     { name = "pytest-cov", specifier = ">=6.0.0" },
-    { name = "rich" },
-    { name = "ruff" },
-    { name = "types-tqdm" },
+    { name = "rich", specifier = ">=15.0.0" },
+    { name = "ruff", specifier = ">=0.15.18" },
+    { name = "types-tqdm", specifier = ">=4.68.0.20260608" },
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 docs = [
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-    { name = "griffe-fieldz" },
+    { name = "griffe-fieldz", specifier = "==0.1.2" },
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     { name = "mkdocs-autorefs", specifier = "==1.1.0" },
     { name = "mkdocs-jupyter", specifier = "==0.24.8" },
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