diff --git a/.gitignore b/.gitignore
index 8a0df44..832049d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,6 +5,7 @@ __pycache__/
 *.egg-info/
 
 # tests
+coverage.json
 htmlcov/
 .tox/
 .coverage
diff --git a/justfile b/justfile
new file mode 100644
index 0000000..56e0b43
--- /dev/null
+++ b/justfile
@@ -0,0 +1,19 @@
+default: test
+
+build:
+  uv build
+
+upload:
+  uv upload
+
+docs:
+  mkdocs build --strict
+
+format:
+  uv run ruff format
+
+typecheck:
+  uv run pyrefly check
+
+test:
+  uv run pytest --cov=jetplot --cov-report=term
diff --git a/pyproject.toml b/pyproject.toml
index 26d7b0f..cef7e09 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "jetplot"
 dynamic = ["version"]
-requires-python = ">=3.7"
+requires-python = ">=3.10"
 dependencies = [
   "numpy>=1.19",
   "scipy",
@@ -24,10 +24,12 @@ Homepage = "https://github.com/nirum/jetplot"
 
 [project.optional-dependencies]
 dev = [
+    "matplotlib-stubs>=0.1.0",
     "pyrefly>=0.14.0",
     "pytest>=7.4.4",
     "pytest-cov>=4.1.0",
     "ruff>=0.11.10",
+    "scipy-stubs>=1.15.3.0",
 ]
 docs = [
     "mkdocs>=1.5.3",
@@ -36,6 +38,8 @@ docs = [
 ]
 
 [tool.pyrefly]
+python_version = "3.12"
+search_path = ["src"]
 project_includes = ["src/**"]
 project_excludes = ["**/.[!/.]*", "**/*venv/**/*", "build/**/*"]
 
diff --git a/src/jetplot/__init__.py b/src/jetplot/__init__.py
index dc5bcc4..aec181f 100644
--- a/src/jetplot/__init__.py
+++ b/src/jetplot/__init__.py
@@ -1,13 +1,12 @@
 """Jetplot is a set of useful utility functions for scientific python."""
 
-__version__ = "0.6.3"
+__version__ = "0.6.4"
 
-from . import colors as c, typing  # noqa: F401
+from . import colors as c  # noqa: F401
 from .chart_utils import *
 from .colors import *
 from .images import *
 from .plots import *
-from .style import *
-
 from .signals import *
+from .style import *
 from .timepiece import *
diff --git a/src/jetplot/chart_utils.py b/src/jetplot/chart_utils.py
index 5cf3f29..6fe157d 100644
--- a/src/jetplot/chart_utils.py
+++ b/src/jetplot/chart_utils.py
@@ -1,5 +1,6 @@
 """Plotting utils."""
 
+from collections.abc import Callable
 from functools import partial, wraps
 
 import numpy as np
@@ -117,7 +118,10 @@ def get_bounds(axis, ax=None):
     if ax is None:
         ax = plt.gca()
 
-    axis_map = {
+
+    Result = tuple[Callable[[], list[float]], Callable[[], list[str]], Callable[[], tuple[float, float]], str]
+
+    axis_map: dict[str, Result] = {
         "x": (ax.get_xticks, ax.get_xticklabels, ax.get_xlim, "bottom"),
         "y": (ax.get_yticks, ax.get_yticklabels, ax.get_ylim, "left"),
     }
@@ -130,7 +134,7 @@ def get_bounds(axis, ax=None):
     else:
         lower, upper = None, None
 
-        for tick, label in zip(list(ticks()), list(labels())):
+        for tick, label in zip(list(ticks()), list(labels()), strict=True):
             if label.get_text() != "":
                 if lower is None:
                     lower = tick
@@ -190,7 +194,8 @@ def yclamp(y0=None, y1=None, dt=None, **kwargs):
     y0 = lims[0] if y0 is None else y0
     y1 = lims[1] if y1 is None else y1
 
-    dt = float(np.mean(np.diff(ax.get_yticks()))) if dt is None else float(dt)
+    ticks: list[float] = ax.get_yticks() # pyrefly: ignore
+    dt = float(np.mean(np.diff(ticks))) if dt is None else float(dt)
 
     new_ticks = np.arange(dt * np.floor(y0 / dt), dt * (np.ceil(y1 / dt) + 1), dt)
     ax.set_yticks(new_ticks)
@@ -208,7 +213,8 @@ def xclamp(x0=None, x1=None, dt=None, **kwargs):
     x0 = lims[0] if x0 is None else x0
     x1 = lims[1] if x1 is None else x1
 
-    dt = float(np.mean(np.diff(ax.get_xticks()))) if dt is None else float(dt)
+    ticks: list[float] = ax.get_xticks() # pyrefly: ignore
+    dt = float(np.mean(np.diff(ticks))) if dt is None else float(dt)
 
     new_ticks = np.arange(dt * np.floor(x0 / dt), dt * (np.ceil(x1 / dt) + 1), dt)
     ax.set_xticks(new_ticks)
diff --git a/src/jetplot/colors.py b/src/jetplot/colors.py
index 86b7b63..040e2ad 100644
--- a/src/jetplot/colors.py
+++ b/src/jetplot/colors.py
@@ -1,16 +1,18 @@
 """Colorschemes"""
 
 import numpy as np
-from matplotlib import cm, pyplot as plt
+from matplotlib import cm
+from matplotlib import pyplot as plt
 from matplotlib.colors import LinearSegmentedColormap, to_hex
+from matplotlib.typing import ColorType
 
 from .chart_utils import noticks
 
 __all__ = ["Palette", "cubehelix", "cmap_colors"]
 
 
-class Palette(list):
-    """Color palette."""
+class Palette(list[ColorType]):
+    """Color palette based on a list of values."""
 
     @property
     def hex(self):
@@ -22,7 +24,7 @@ def cmap(self):
 
     def plot(self, figsize=(5, 1)):
         fig, axs = plt.subplots(1, len(self), figsize=figsize)
-        for c, ax in zip(self, axs):
+        for c, ax in zip(self, axs, strict=True): # pyrefly: ignore
             ax.set_facecolor(c)
             ax.set_aspect("equal")
             noticks(ax=ax)
@@ -31,18 +33,25 @@ def plot(self, figsize=(5, 1)):
 
 
 def cubehelix(
-    n: int, vmin=0.85, vmax=0.15, gamma: float = 1.0, start=0.0, rot=0.4, hue=0.8
+    n: int,
+    vmin: float = 0.85,
+    vmax: float = 0.15,
+    gamma: float = 1.0,
+    start: float = 0.0,
+    rot: float = 0.4,
+    hue: float = 0.8,
 ):
     """Cubehelix parameterized colormap."""
     lambda_ = np.linspace(vmin, vmax, n)
     x = lambda_**gamma
     phi = 2 * np.pi * (start / 3 + rot * lambda_)
 
-    alpha = 0.5 * hue * x * (1.0 - x)
+    alpha = 0.5 * hue * x * (1.0 - x)  # pyrefly: ignore
     A = np.array([[-0.14861, 1.78277], [-0.29227, -0.90649], [1.97294, 0.0]])
     b = np.stack([np.cos(phi), np.sin(phi)])
 
-    return Palette((x + alpha * (A @ b)).T)
+    colors: list[tuple[float, float, float]] = (x + alpha * (A @ b)).T.tolist()
+    return Palette(colors)
 
 
 def cmap_colors(cmap: str, n: int, vmin: float = 0.0, vmax: float = 1.0):
diff --git a/src/jetplot/demo.py b/src/jetplot/demo.py
deleted file mode 100644
index c910e29..0000000
--- a/src/jetplot/demo.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import numpy as np
-from numpy.typing import NDArray
-
-
-def peaks(n: int = 256) -> tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]:
-    """Generate the MATLAB ``peaks`` surface.
-
-    Parameters
-    ----------
-    n:
-        Number of points per axis.
-
-    Returns
-    -------
-    tuple of ``ndarray``
-        ``x`` grid, ``y`` grid and the function value ``z``.
-    """
-
-    pts = np.linspace(-3.0, 3.0, n)
-    xm, ym = np.meshgrid(pts, pts, indexing="xy")
-    zm = (
-        3 * (1 - xm) ** 2 * np.exp(-(xm**2))
-        - (ym + 1) ** 2
-        - 10 * (0.2 * xm - xm**3 - ym**5) * np.exp(-(xm**2) - (ym**2))
-        - (1.0 / 3.0) * np.exp(-((xm + 1) ** 2) - ym**2)
-    )
-    return xm, ym, zm
diff --git a/src/jetplot/images.py b/src/jetplot/images.py
index 698bd5c..c464786 100644
--- a/src/jetplot/images.py
+++ b/src/jetplot/images.py
@@ -127,7 +127,7 @@ def cmat(
 
     xs, ys = np.meshgrid(np.arange(num_cols), np.arange(num_rows), indexing="xy")
 
-    for x, y, value in zip(xs.flat, ys.flat, arr.flat):
+    for x, y, value in zip(xs.flat, ys.flat, arr.flat, strict=True): # pyrefly: ignore
         color = dark_color if (value <= theta) else light_color
         annot = f"{{:{fmt}}}".format(value)
         ax.text(x, y, annot, ha="center", va="center", color=color, fontsize=fontsize)
diff --git a/src/jetplot/plots.py b/src/jetplot/plots.py
index de2fd6b..e57f18b 100644
--- a/src/jetplot/plots.py
+++ b/src/jetplot/plots.py
@@ -3,12 +3,13 @@
 import numpy as np
 from matplotlib.patches import Ellipse
 from matplotlib.transforms import Affine2D
+from matplotlib.typing import ColorType
+from numpy.typing import NDArray
 from scipy.stats import gaussian_kde
 from sklearn.covariance import EmpiricalCovariance, MinCovDet
 
 from .chart_utils import figwrapper, nospines, plotwrapper
 from .colors import cmap_colors, neutral
-from .typing import Color
 
 __all__ = [
     "hist",
@@ -25,7 +26,7 @@
 
 @plotwrapper
 def violinplot(
-    data,
+    data: NDArray[np.floating],
     xs,
     fc=neutral[3],
     ec=neutral[9],
@@ -54,6 +55,7 @@ def violinplot(
         pc.set_edgecolor(ec)
         pc.set_alpha(1.0)
 
+    # pyrefly: ignore  # no-matching-overload, bad-argument-type
     q1, medians, q3 = np.percentile(data, [25, 50, 75], axis=0)
 
     ax.vlines(
@@ -76,7 +78,8 @@ def violinplot(
     if showmeans:
         ax.scatter(
             xs,
-            np.mean(data, axis=0, dtype=float),
+            # pyrefly: ignore  # no-matching-overload, bad-argument-type
+            np.mean(data, axis=0),
             marker="s",
             color=mc,
             s=15,
@@ -122,7 +125,7 @@ def hist2d(x, y, bins=None, range=None, cmap="hot", **kwargs):
         bins = 25
 
     # compute the histogram
-
+    # pyrefly: ignore  # no-matching-overload, bad-argument-type
     cnt, xe, ye = np.histogram2d(x, y, bins=bins, range=range_, density=True)
 
     # generate the plot
@@ -139,10 +142,10 @@ def errorplot(
     y,
     yerr,
     method="patch",
-    color: Color = "#222222",
+    color: ColorType = "#222222",
     xscale="linear",
     fmt="-",
-    err_color: Color = "#cccccc",
+    err_color: ColorType = "#cccccc",
     alpha_fill=1.0,
     clip_on=True,
     **kwargs,
@@ -257,7 +260,7 @@ def lines(x, lines=None, cmap="viridis", **kwargs):
         lines = list(lines)
 
     colors = cmap_colors(cmap, len(lines))
-    for line, color in zip(lines, colors):
+    for line, color in zip(lines, colors, strict=False):
         ax.plot(x, line, color=color)
 
 
@@ -282,7 +285,7 @@ def ridgeline(t, xs, colors, edgecolor="#ffffff", ymax=0.6, **kwargs):
     fig = kwargs["fig"]
     axs = []
 
-    for k, (x, c) in enumerate(zip(xs, colors)):
+    for k, (x, c) in enumerate(zip(xs, colors, strict=False)):
         ax = fig.add_subplot(len(xs), 1, k + 1)
         y = gaussian_kde(x).evaluate(t)
         ax.fill_between(t, y, color=c, clip_on=False)
diff --git a/src/jetplot/signals.py b/src/jetplot/signals.py
index b9072d4..e0b9d49 100644
--- a/src/jetplot/signals.py
+++ b/src/jetplot/signals.py
@@ -1,15 +1,17 @@
 """Tools for signal processing."""
 
+from __future__ import annotations
 
-from typing import Callable
+from typing import Protocol, SupportsIndex
 
 import numpy as np
 from numpy.typing import ArrayLike, NDArray
-
-from scipy.ndimage import gaussian_filter1d  # pyrefly: ignore[missing-module-attribute]
+from scipy.ndimage import gaussian_filter1d
 
 __all__ = ["smooth", "canoncorr", "participation_ratio", "stable_rank", "normalize"]
 
+FloatArray = NDArray[np.floating]
+
 
 def smooth(x, sigma=1.0, axis=0):
     """Smooths a 1D signal with a gaussian filter.
@@ -31,18 +33,21 @@ def stable_rank(X):
     return svals_sq.sum() / svals_sq.max()
 
 
-def participation_ratio(C: NDArray[np.floating]) -> float:
+def participation_ratio(C: np.ndarray) -> float:
     """Compute the participation ratio of a square matrix."""
 
-    assert C.ndim == 2, "C must be a matrix"
-    assert C.shape[0] == C.shape[1], "C must be a square matrix"
+    if C.ndim != 2:
+        raise ValueError("C must be a matrix")
+
+    if C.shape[0] != C.shape[1]:
+        raise ValueError("C must be a square matrix")
 
     diag_sum = float(np.trace(C))
     diag_sq_sum = float(np.trace(C @ C))
     return diag_sum**2 / diag_sq_sum
 
 
-def canoncorr(X: ArrayLike, Y: ArrayLike) -> NDArray[np.floating]:
+def canoncorr(X: FloatArray, Y: FloatArray) -> FloatArray:
     """Canonical correlation between two subspaces.
 
     Args:
@@ -58,22 +63,29 @@ def canoncorr(X: ArrayLike, Y: ArrayLike) -> NDArray[np.floating]:
       the principal vectors and angles via the QR decomposition [2]_.
 
     References:
-      .. [1] Angles between flats. (2016, August 4). In Wikipedia, The Free Encyclopedia.
+      .. [1] Angles between flats. (2016, August 4). In Wikipedia, The Free Encyclopedia
        https://en.wikipedia.org/w/index.php?title=Angles_between_flats
       .. [2] Björck, Ȧke, and Gene H. Golub. "Numerical methods for computing angles
        between linear subspaces." Mathematics of computation 27.123 (1973): 579-594.
     """
     # Orthogonalize each subspace
-
-    qu = np.linalg.qr(np.asarray(X))[0]
-    qv = np.linalg.qr(np.asarray(Y))[0]
+    # pyrefly: ignore  # no-matching-overload, bad-argument-type
+    Qx, _ = np.linalg.qr(X, mode="reduced")
+    # pyrefly: ignore  # no-matching-overload, bad-argument-type
+    Qy, _ = np.linalg.qr(Y, mode="reduced")
 
     # singular values of the inner product between the orthogonalized spaces
-    return np.linalg.svd(qu.T.dot(qv), compute_uv=False, full_matrices=False)
+    return np.linalg.svd(Qx.T @ Qy, compute_uv=False)
+
+
+class NormFunction(Protocol):
+    def __call__(
+        self, x: ArrayLike, *, axis: SupportsIndex, keepdims: bool
+    ) -> NDArray[np.floating]: ...
 
 
 def normalize(
-    X: ArrayLike, axis: int = -1, norm: Callable[[ArrayLike], float] = np.linalg.norm
+    X: ArrayLike, axis: int = -1, norm: NormFunction = np.linalg.norm
 ) -> NDArray[np.floating]:
     """Normalizes elements of an array or matrix.
 
diff --git a/src/jetplot/style.py b/src/jetplot/style.py
index 51ebc0d..4cd5eba 100644
--- a/src/jetplot/style.py
+++ b/src/jetplot/style.py
@@ -1,13 +1,13 @@
 """Opinionated matplotlib style defaults."""
 
+from collections.abc import Mapping
 from functools import partial
-
-
-from typing import Mapping, Any
+from typing import Any
 
 from cycler import cycler
-from jetplot.typing import Color, Palette
-from matplotlib import font_manager as fm, rcParams
+from matplotlib import font_manager as fm
+from matplotlib import rcParams
+from matplotlib.typing import ColorType
 
 from . import colors as c
 
@@ -112,10 +112,10 @@ def set_dpi(dpi: int):
 
 def set_defaults(
     *,
-    bg: Color,
-    fg: Color,
-    text: Color,
-    cycler_colors: Palette,
+    bg: ColorType,
+    fg: ColorType,
+    text: ColorType,
+    cycler_colors: c.Palette,
     defaults: Mapping[str, Any] = STYLE_DEFAULTS,
     font: str = "Helvetica",
 ):
@@ -138,8 +138,9 @@ def set_defaults(
 )
 
 
-def available_fonts():
-    return sorted(set([f.name for f in fm.fontManager.ttflist]))
+def available_fonts() -> list[str]:
+    """Returns a list of available fonts."""
+    return sorted(set([f.name for f in fm.fontManager.ttflist])) # pyrefly: ignore
 
 
 def install_fonts(filepath: str):
@@ -149,7 +150,7 @@ def install_fonts(filepath: str):
     font_files = fm.findSystemFonts(fontpaths=[filepath])
 
     for font_file in font_files:
-        fm.fontManager.addfont(font_file)
+        fm.fontManager.addfont(font_file) # pyrefly: ignore
 
     new_fonts = set(available_fonts()) - original_fonts
     if new_fonts:
diff --git a/src/jetplot/timepiece.py b/src/jetplot/timepiece.py
index d7a0031..dd86946 100644
--- a/src/jetplot/timepiece.py
+++ b/src/jetplot/timepiece.py
@@ -25,26 +25,17 @@ def elapsed(self):
         return elapsed
 
     def checkpoint(self, name=""):
-        print(
-            "{timer} {checkpoint} took {elapsed}".format(
-                timer=self.name,
-                checkpoint=name,
-                elapsed=hrtime(self.elapsed),
-            ).strip()
-        )
+        print(f"{self.name} {name} took {hrtime(self.elapsed)}".strip())
 
     def __enter__(self):
         return self
 
     def __exit__(self, *_):
-        print(
-            "{timer} Finished! \u2714\nTotal elapsed time: {total}".format(
-                timer=self.name, total=hrtime(time.perf_counter() - self.absolute_start)
-            )
-        )
+        total = hrtime(time.perf_counter() - self.absolute_start)
+        print(f"{self.name} Finished! \u2714\nTotal elapsed time: {total}")
 
 
-def hrtime(t):
+def hrtime(t: float):
     """Converts a time in seconds to a reasonable human readable time.
 
     Args:
@@ -54,46 +45,41 @@ def hrtime(t):
       time: string, Human readable formatted value of the given time.
     """
 
-    try:
-        t = float(t)
-    except (ValueError, TypeError):
-        raise ValueError("Input must be numeric")
-
     # weeks
     if t >= 7 * 60 * 60 * 24:
         weeks = np.floor(t / (7 * 60 * 60 * 24))
-        timestr = "{:0.0f} weeks, ".format(weeks) + hrtime(t % (7 * 60 * 60 * 24))
+        timestr = f"{weeks:0.0f} weeks, " + hrtime(t % (7 * 60 * 60 * 24))
 
     # days
     elif t >= 60 * 60 * 24:
         days = np.floor(t / (60 * 60 * 24))
-        timestr = "{:0.0f} days, ".format(days) + hrtime(t % (60 * 60 * 24))
+        timestr = f"{days:0.0f} days, " + hrtime(t % (60 * 60 * 24))
 
     # hours
     elif t >= 60 * 60:
         hours = np.floor(t / (60 * 60))
-        timestr = "{:0.0f} hours, ".format(hours) + hrtime(t % (60 * 60))
+        timestr = f"{hours:0.0f} hours, " + hrtime(t % (60 * 60))
 
     # minutes
     elif t >= 60:
         minutes = np.floor(t / 60)
-        timestr = "{:0.0f} min., ".format(minutes) + hrtime(t % 60)
+        timestr = f"{minutes:0.0f} min., " + hrtime(t % 60)
 
     # seconds
     elif (t >= 1) | (t == 0):
-        timestr = "{:g} s".format(t)
+        timestr = f"{t:g} s"
 
     # milliseconds
     elif t >= 1e-3:
-        timestr = "{:g} ms".format(t * 1e3)
+        timestr = f"{t * 1e3:g} ms"
 
     # microseconds
     elif t >= 1e-6:
-        timestr = "{:g} {}s".format(t * 1e6, "\u03bc")
+        timestr = f"{t * 1e6:g} \u03bcs"
 
     # nanoseconds or smaller
     else:
-        timestr = "{:g} ns".format(t * 1e9)
+        timestr = f"{t * 1e9:g} ns"
 
     return timestr
 
@@ -110,8 +96,6 @@ def wrapper(*args, **kwargs):
         calls.append(tstop - tstart)
         return results
 
-    wrapper.calls = calls
-
     def mean() -> float:
         return float(np.mean(calls))
 
@@ -121,8 +105,9 @@ def serr() -> float:
     def summary() -> None:
         print(f"Runtimes: {hrtime(mean())} \u00b1 {hrtime(serr())}")
 
-    wrapper.mean = mean
-    wrapper.serr = serr
-    wrapper.summary = summary
+    wrapper.__dict__["calls"] = calls
+    wrapper.__dict__["mean"] = mean
+    wrapper.__dict__["serr"] = serr
+    wrapper.__dict__["summary"] = summary
 
     return wrapper
diff --git a/src/jetplot/typing.py b/src/jetplot/typing.py
deleted file mode 100644
index 0e98caa..0000000
--- a/src/jetplot/typing.py
+++ /dev/null
@@ -1,7 +0,0 @@
-
-from typing import Sequence, Union
-
-__all__ = ["Color", "Palette"]
-
-Color = Union[str, Sequence[float]]
-Palette = Sequence[Color]
diff --git a/tests/test_colors.py b/tests/test_colors.py
index d0d04e6..76da5cf 100644
--- a/tests/test_colors.py
+++ b/tests/test_colors.py
@@ -1,10 +1,11 @@
 """Tests the colors module."""
 
-from jetplot import colors
 from matplotlib.axes import Axes
 from matplotlib.colors import to_rgb
 from matplotlib.figure import Figure
 
+from jetplot import colors
+
 
 def test_palette():
     """Tests the Palette class."""
@@ -19,7 +20,7 @@ def test_palette():
     assert len(pal) == 5
 
     # Palette hex values.
-    for computed, expected in zip(pal.hex, hex_colors):
+    for computed, expected in zip(pal.hex, hex_colors, strict=False):
         assert computed == expected
 
     fig, axs = pal.plot()
diff --git a/tests/test_demo.py b/tests/test_demo.py
deleted file mode 100644
index 807f644..0000000
--- a/tests/test_demo.py
+++ /dev/null
@@ -1,12 +0,0 @@
-"""Tests demo functions."""
-
-from jetplot import demo
-
-
-def test_peaks():
-    """Smoke test for the peaks function."""
-    n = 256
-    xm, ym, zm = demo.peaks(n=n)
-
-
-    assert xm.shape == ym.shape == zm.shape == (n, n)
diff --git a/tests/test_images.py b/tests/test_images.py
index e810a73..cabef65 100644
--- a/tests/test_images.py
+++ b/tests/test_images.py
@@ -1,5 +1,6 @@
 import numpy as np
 from matplotlib import pyplot as plt
+
 from jetplot import images
 
 
diff --git a/tests/test_signals.py b/tests/test_signals.py
index b221ca4..0a4f763 100644
--- a/tests/test_signals.py
+++ b/tests/test_signals.py
@@ -1,8 +1,9 @@
 """Tests for the signals module."""
 
-from jetplot import signals
 import numpy as np
 
+from jetplot import signals
+
 
 def test_stable_rank():
     # pyrefly: ignore  # no-matching-overload, bad-argument-type
diff --git a/tests/test_style.py b/tests/test_style.py
index a817d9e..75aee75 100644
--- a/tests/test_style.py
+++ b/tests/test_style.py
@@ -1,8 +1,9 @@
 """Tests style settings."""
 
-from jetplot import style
-from matplotlib import rcParams
 import numpy as np
+from matplotlib import rcParams
+
+from jetplot import style
 
 
 def test_defaults():
diff --git a/tests/test_timepiece.py b/tests/test_timepiece.py
index 5631620..562138a 100644
--- a/tests/test_timepiece.py
+++ b/tests/test_timepiece.py
@@ -1,11 +1,10 @@
 """Tests for the timepiece module."""
 
-from jetplot.timepiece import hrtime, profile
+import time
+
 import numpy as np
 
-# pyrefly: ignore  # import-error
-import pytest
-import time
+from jetplot.timepiece import hrtime, profile
 
 
 def test_hrtime():
@@ -23,13 +22,6 @@ def test_hrtime():
     assert hrtime(5e-7) == "500 ns"
     assert hrtime(1e-12) == "0.001 ns"
 
-    # test non-numeric input
-    for val in ("abc", [], {"x": 5}):
-        with pytest.raises(ValueError) as context:
-            hrtime(val)
-
-        assert "Input must be numeric" in str(context.value)
-
 
 def test_profile():
     T = 0.2
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 9220d91..ee9c161 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,9 +1,11 @@
 """Tests chart utilities."""
 
 from itertools import product
-from jetplot import chart_utils as cu
+
 from matplotlib import pyplot as plt
 
+from jetplot import chart_utils as cu
+
 
 def test_wrappers():
     @cu.figwrapper
@@ -26,7 +28,7 @@ def test_nospines():
     args = ((True, False),) * len(compass)
 
     for bools in product(*args):
-        kwargs = dict(zip(compass, bools))
+        kwargs = dict(zip(compass, bools, strict=False))
 
         fig, ax = plt.subplots()
         ax.plot([1, 2, 3, 4, 5])
diff --git a/uv.lock b/uv.lock
index 3d58bf8..0ea0e6d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,82 +1,20 @@
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 revision = 1
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-resolution-markers = [
-    "python_full_version >= '3.10'",
-    "python_full_version == '3.9.*'",
-    "python_full_version == '3.8.*'",
-    "python_full_version < '3.8'",
-]
-
-[[package]]
-name = "astunparse"
-version = "1.6.3"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "six", marker = "python_full_version == '3.8.*'" },
-    { name = "wheel", marker = "python_full_version == '3.8.*'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/f3/af/4182184d3c338792894f34a62672919db7ca008c89abee9b564dd34d8029/astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872", size = 18290 }
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-[[package]]
-name = "babel"
-version = "2.14.0"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.8'",
-]
-dependencies = [
-    { name = "pytz", marker = "python_full_version < '3.8'" },
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+requires-python = ">=3.10"
 
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 [[package]]
 name = "backrefs"
 version = "5.8"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.10'",
-    "python_full_version == '3.9.*'",
-]
 sdist = { url = "https://files.pythonhosted.org/packages/6c/46/caba1eb32fa5784428ab401a5487f73db4104590ecd939ed9daaf18b47e0/backrefs-5.8.tar.gz", hash = "sha256:2cab642a205ce966af3dd4b38ee36009b31fa9502a35fd61d59ccc116e40a6bd", size = 6773994 }
 wheels = [
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-
 [[package]]
 name = "certifi"
 version = "2025.4.26"
@@ -162,74 +91,15 @@ wheels = [
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