diff --git a/CHANGELOG.md b/CHANGELOG.md
index c92c3ea6d64..a26db637c91 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,6 +4,12 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ## Unreleased
 
+### Added
+- Add a `msgspec` JSON engine, used by the `auto` engine when `msgspec` is installed and `orjson` is not [[#5813](https://github.com/plotly/plotly.py/pull/5813)]
+
+### Updated
+- Speed up `plotly.io.to_json` and `PlotlyJSONEncoder` for figures and for payloads that mix plotly objects with plain data: figures are no longer deep copied, and with orjson only the values orjson can't serialize go through the slow cleaning path [[#5813](https://github.com/plotly/plotly.py/pull/5813)]
+
 ### Fixed
 - Fix `mpl_to_plotly` tick marker mirroring, axis positioning, and trace visibility for twinned and overlaid subplots (such as `twinx` and `twiny`) [[#5310](https://github.com/plotly/plotly.py/pull/5310)], with thanks to @robertoffmoura for the contribution!
 - Fix `mpl_to_plotly` losing matplotlib axis line colors by exporting the color of each axis's displayed spine to the plotly x and y axis `linecolor` [[#5311](https://github.com/plotly/plotly.py/pull/5311)], with thanks to @robertoffmoura for the contribution!
diff --git a/_plotly_utils/utils.py b/_plotly_utils/utils.py
index 07a2b9e0b93..e10853285ca 100644
--- a/_plotly_utils/utils.py
+++ b/_plotly_utils/utils.py
@@ -1,4 +1,5 @@
 import base64
+import datetime
 import decimal
 import json as _json
 import sys
@@ -114,6 +115,40 @@ def convert_to_base64(obj):
             convert_to_base64(value)
 
 
+def to_base64_copy(obj):
+    """
+    Like convert_to_base64, but leaves obj untouched: only the containers
+    that change are copied, everything else is shared with obj.
+    """
+    if isinstance(obj, dict):
+        out = None
+        for key, value in obj.items():
+            if is_skipped_key(key):
+                continue
+            if is_homogeneous_array(value):
+                new = to_typed_array_spec(value)
+            else:
+                new = to_base64_copy(value)
+            if new is not value:
+                if out is None:
+                    out = dict(obj)
+                out[key] = new
+        return obj if out is None else out
+    elif isinstance(obj, (list, tuple)):
+        # Data arrays hold scalars: skip them without a Python-level loop.
+        if not any(issubclass(t, (dict, list, tuple)) for t in set(map(type, obj))):
+            return obj
+        out = None
+        for i, value in enumerate(obj):
+            new = to_base64_copy(value)
+            if new is not value:
+                if out is None:
+                    out = list(obj)
+                out[i] = new
+        return obj if out is None else out
+    return obj
+
+
 def cumsum(x):
     """
     Custom cumsum to avoid a numpy import.
@@ -218,6 +253,16 @@ def default(self, obj):
         Therefore, we only anticipate either unknown iterables or values here.
 
         """
+        # Only the base class takes these shortcuts: subclasses may override
+        # the encode_as_* methods.
+        # Exact types only: pandas.Timestamp and pandas.NaT subclass datetime.
+        if type(self) is PlotlyJSONEncoder:
+            if type(obj) in (datetime.datetime, datetime.date):
+                return obj.isoformat()
+            to_json_dict = getattr(obj, "_to_json_dict", None)
+            if to_json_dict is not None:
+                return to_json_dict()
+
         # TODO: The ordering if these methods is *very* important. Is this OK?
         encoding_methods = (
             self.encode_as_plotly,
diff --git a/doc/python/renderers.md b/doc/python/renderers.md
index 9fbcc0f4b2e..f7213a815b0 100644
--- a/doc/python/renderers.md
+++ b/doc/python/renderers.md
@@ -271,6 +271,6 @@ No matter the approach chosen to display a figure, [the figure data structure](h
 
 *New in v5.0*
 
-The default JSON serialization mechanism can be slow for figures with many data points or with large `numpy` arrays or data frames. **If [the `orjson` package](https://github.com/ijl/orjson) is installed**, `plotly` will use that instead of the built-in `json` package, which can lead to **5-10x** speedups for large figures.
+The default JSON serialization mechanism can be slow for figures with many data points or with large `numpy` arrays or data frames. **If [the `orjson` package](https://github.com/ijl/orjson) is installed**, `plotly` will use that instead of the built-in `json` package, which can lead to **5-10x** speedups for large figures. If `orjson` isn't installed but [`msgspec`](https://github.com/jcrist/msgspec) is (Dash installs it), `plotly` uses `msgspec`, which gives most of the same speedup.
 
 Once a figure is serialized to JSON, it must be rendered by a browser, either immediately in the user's browser, at some later point if the figure is exported to HTML, or immediately in Kaleido's internal headless browser for static image export. Rendering time is generally proportional to the total number of data points in the figure, the number of traces and the number of subplots. In situations where rendering performance is slow, we recommend considering [the use of `plotly` WebGL traces](/python/webgl-vs-svg/) to exploit GPU-accelerated rendering in the browser, or [using the Datashader library to do Python-side rendering](/python/datashader/) before using `px.imshow()` to render the figure.
diff --git a/plotly/basedatatypes.py b/plotly/basedatatypes.py
index a7326da8e5a..e54c6e0cc2c 100644
--- a/plotly/basedatatypes.py
+++ b/plotly/basedatatypes.py
@@ -16,6 +16,7 @@
     chomp_empty_strings,
     find_closest_string,
     convert_to_base64,
+    to_base64_copy,
 )
 from _plotly_utils.exceptions import PlotlyKeyError
 from .optional_imports import get_module
@@ -3323,6 +3324,23 @@ def to_dict(self):
 
         return res
 
+    def _to_json_dict(self):
+        """
+        to_dict() without the deepcopy, for serializers that only read it.
+        Shares data with the figure: never mutate the result.
+        """
+        cls = type(self)
+        if (
+            cls.to_dict is not BaseFigure.to_dict
+            or cls.to_plotly_json is not BaseFigure.to_plotly_json
+        ):
+            return self.to_plotly_json()
+        res = {"data": self._data, "layout": self._layout}
+        frames = [frame._props for frame in self._frame_objs]
+        if frames:
+            res["frames"] = frames
+        return to_base64_copy(res)
+
     def to_plotly_json(self):
         """
         Convert figure to a JSON representation as a Python dict
@@ -3440,6 +3458,7 @@ def to_json(self, *args, **kwargs):
             The JSON encoding engine to use. One of:
               - "json" for an encoder based on the built-in Python json module
               - "orjson" for a fast encoder the requires the orjson package
+              - "msgspec" for a fast encoder that requires the msgspec package
             If not specified, the default encoder is set to the current value of
             plotly.io.json.config.default_encoder.
 
@@ -3500,6 +3519,7 @@ def write_json(self, *args, **kwargs):
             The JSON encoding engine to use. One of:
               - "json" for an encoder based on the built-in Python json module
               - "orjson" for a fast encoder the requires the orjson package
+              - "msgspec" for a fast encoder that requires the msgspec package
             If not specified, the default encoder is set to the current value of
             plotly.io.json.config.default_encoder.
 
@@ -5562,6 +5582,12 @@ def on_change(self, callback, *args, **kwargs):
         # -----------------
         self._change_callbacks[arg_tuples].append(callback)
 
+    def _to_json_dict(self):
+        # to_plotly_json() without the deepcopy; never mutate the result
+        if type(self).to_plotly_json is not BasePlotlyType.to_plotly_json:
+            return self.to_plotly_json()
+        return self._props if self._props is not None else {}
+
     def to_plotly_json(self):
         """
         Return plotly JSON representation of object as a Python dict
@@ -5596,6 +5622,7 @@ def to_json(self, *args, **kwargs):
             The JSON encoding engine to use. One of:
               - "json" for an encoder based on the built-in Python json module
               - "orjson" for a fast encoder the requires the orjson package
+              - "msgspec" for a fast encoder that requires the msgspec package
             If not specified, the default encoder is set to the current value of
             plotly.io.json.config.default_encoder.
 
diff --git a/plotly/io/_json.py b/plotly/io/_json.py
index 3e779f5cacd..3e023daa4f2 100644
--- a/plotly/io/_json.py
+++ b/plotly/io/_json.py
@@ -10,7 +10,7 @@
 
 
 class JsonConfig(object):
-    _valid_engines = ("json", "orjson", "auto")
+    _valid_engines = ("json", "orjson", "msgspec", "auto")
 
     def __init__(self):
         self._default_engine = "auto"
@@ -30,6 +30,8 @@ def default_engine(self, val):
 
         if val == "orjson":
             self.validate_orjson()
+        elif val == "msgspec":
+            self.validate_msgspec()
 
         self._default_engine = val
 
@@ -39,6 +41,12 @@ def validate_orjson(cls):
         if orjson is None:
             raise ValueError("The orjson engine requires the orjson package")
 
+    @classmethod
+    def validate_msgspec(cls):
+        msgspec = get_module("msgspec")
+        if msgspec is None:
+            raise ValueError("The msgspec engine requires the msgspec package")
+
 
 config = JsonConfig()
 
@@ -66,6 +74,20 @@ def coerce_to_strict(const):
 )
 
 
+def _resolve_engine(engine):
+    if engine is None:
+        engine = config.default_engine
+    if engine == "auto":
+        if get_module("orjson", should_load=True) is not None:
+            return "orjson"
+        if get_module("msgspec", should_load=True) is not None:
+            return "msgspec"
+        return "json"
+    if engine not in ("orjson", "msgspec", "json"):
+        raise ValueError("Invalid json engine: %s" % engine)
+    return engine
+
+
 def _safe(json_str, _swap):
     out = json_str
     for unsafe_char, safe_char in _swap:
@@ -91,7 +113,9 @@ def to_json_plotly(plotly_object, pretty=False, engine=None):
         The JSON encoding engine to use. One of:
           - "json" for an engine based on the built-in Python json module
           - "orjson" for a faster engine that requires the orjson package
-          - "auto" for the "orjson" engine if available, otherwise "json"
+          - "msgspec" for a faster engine that requires the msgspec package
+          - "auto" for the "orjson" engine if available, then "msgspec",
+            otherwise "json"
         If not specified, the default engine is set to the current value of
         plotly.io.json.config.default_engine.
 
@@ -104,19 +128,7 @@ def to_json_plotly(plotly_object, pretty=False, engine=None):
     --------
     to_json : Convert a plotly Figure to JSON with validation
     """
-    orjson = get_module("orjson", should_load=True)
-
-    # Determine json engine
-    if engine is None:
-        engine = config.default_engine
-
-    if engine == "auto":
-        if orjson is not None:
-            engine = "orjson"
-        else:
-            engine = "json"
-    elif engine not in ["orjson", "json"]:
-        raise ValueError("Invalid json engine: %s" % engine)
+    engine = _resolve_engine(engine)
 
     modules = {
         "sage_all": get_module("sage.all", should_load=False),
@@ -140,27 +152,110 @@ def to_json_plotly(plotly_object, pretty=False, engine=None):
         return _safe(
             json.dumps(plotly_object, cls=PlotlyJSONEncoder, **opts), _swap_json
         )
+    elif engine == "msgspec":
+        JsonConfig.validate_msgspec()
+        msgspec = get_module("msgspec", should_load=True)
+        np = modules["np"]
+        pd = modules["pd"]
+
+        def enc_hook(value):
+            # msgspec takes only exact types: numpy scalars subclass these
+            if isinstance(value, float):
+                return float(value)
+            if isinstance(value, int):
+                return int(value)
+            if isinstance(value, str):
+                return str.__str__(value)
+            if isinstance(value, (dict, list, tuple)):
+                # only asked for when they sit where JSON can't hold them
+                # (a tuple dict key), converting would loop forever
+                raise TypeError(
+                    f"Type is not JSON serializable: {type(value).__name__}"
+                )
+            if np is not None and isinstance(value, np.datetime64) and np.isnat(value):
+                return None
+            if pd is not None:
+                if value is pd.NaT:
+                    return None
+                # isoformat keeps nanoseconds, as in the json engine
+                if isinstance(value, pd.Timestamp):
+                    return value.isoformat()
+                if isinstance(value, (pd.Series, pd.Index)) and value.dtype.kind == "M":
+                    return value.tolist()
+            to_json_dict = getattr(value, "_to_json_dict", None)
+            if to_json_dict is not None:
+                return to_json_dict()
+            cleaned = clean_to_json_compatible(
+                value,
+                numpy_allowed=False,
+                datetime_allowed=False,
+                modules=modules,
+            )
+            if cleaned is value:
+                raise TypeError(
+                    f"Type is not JSON serializable: {type(value).__name__}"
+                )
+            return cleaned
+
+        encoder = msgspec.json.Encoder(enc_hook=enc_hook, decimal_format="number")
+        try:
+            out = encoder.encode(plotly_object)
+            # msgspec writes Decimal as is, so a NaN or Infinity value or a
+            # Decimal dict key gives invalid JSON. Checking the syntax is cheap.
+            msgspec.json.decode(out, type=msgspec.Raw)
+        except (
+            TypeError,
+            ValueError,
+            OverflowError,
+            RecursionError,
+            msgspec.MsgspecError,
+        ):
+            # Errors and values msgspec rejects come out as with the json engine
+            return to_json_plotly(plotly_object, pretty=pretty, engine="json")
+        if pretty:
+            out = msgspec.json.format(out, indent=2)
+        return _safe(out.decode("utf8"), _swap_orjson)
     elif engine == "orjson":
         JsonConfig.validate_orjson()
+        orjson = get_module("orjson", should_load=True)
         opts = orjson.OPT_NON_STR_KEYS | orjson.OPT_SERIALIZE_NUMPY
 
         if pretty:
             opts |= orjson.OPT_INDENT_2
 
-        # Plotly
-        try:
-            plotly_object = plotly_object.to_plotly_json()
-        except AttributeError:
-            pass
+        def default(value):
+            # orjson calls this only for values it cannot serialize itself
+            to_json_dict = getattr(value, "_to_json_dict", None)
+            if to_json_dict is not None:
+                return to_json_dict()
+            cleaned = clean_to_json_compatible(
+                value,
+                numpy_allowed=True,
+                datetime_allowed=True,
+                modules=modules,
+            )
+            if cleaned is value:
+                raise TypeError(
+                    f"Type is not JSON serializable: {type(value).__name__}"
+                )
+            return cleaned
 
-        # Try without cleaning
         try:
             return _safe(
-                orjson.dumps(plotly_object, option=opts).decode("utf8"), _swap_orjson
+                orjson.dumps(plotly_object, default=default, option=opts).decode(
+                    "utf8"
+                ),
+                _swap_orjson,
             )
         except TypeError:
             pass
 
+        # Plotly
+        try:
+            plotly_object = plotly_object.to_plotly_json()
+        except AttributeError:
+            pass
+
         cleaned = clean_to_json_compatible(
             plotly_object,
             numpy_allowed=True,
@@ -194,7 +289,9 @@ def to_json(fig, validate=True, pretty=False, remove_uids=True, engine=None):
         The JSON encoding engine to use. One of:
           - "json" for an engine based on the built-in Python json module
           - "orjson" for a faster engine that requires the orjson package
-          - "auto" for the "orjson" engine if available, otherwise "json"
+          - "msgspec" for a faster engine that requires the msgspec package
+          - "auto" for the "orjson" engine if available, then "msgspec",
+            otherwise "json"
         If not specified, the default engine is set to the current value of
         plotly.io.json.config.default_engine.
 
@@ -247,7 +344,9 @@ def write_json(fig, file, validate=True, pretty=False, remove_uids=True, engine=
         The JSON encoding engine to use. One of:
           - "json" for an engine based on the built-in Python json module
           - "orjson" for a faster engine that requires the orjson package
-          - "auto" for the "orjson" engine if available, otherwise "json"
+          - "msgspec" for a faster engine that requires the msgspec package
+          - "auto" for the "orjson" engine if available, then "msgspec",
+            otherwise "json"
         If not specified, the default engine is set to the current value of
         plotly.io.json.config.default_engine.
     Returns
@@ -310,7 +409,10 @@ def from_json_plotly(value, engine=None):
           - if "json", parse JSON using built in json module
           - if "orjson", parse using the faster orjson module, requires the orjson
             package
-          - if "auto" use orjson module if available, otherwise use the json module
+          - if "msgspec", parse using the faster msgspec module, requires the
+            msgspec package
+          - if "auto" use orjson module if available, then msgspec, otherwise
+            use the json module
 
         If not specified, the default engine is set to the current value of
         plotly.io.json.config.default_engine.
@@ -323,8 +425,6 @@ def from_json_plotly(value, engine=None):
     --------
     from_json_plotly : Parse JSON with plotly conventions into a dict
     """
-    orjson = get_module("orjson", should_load=True)
-
     # Validate value
     # --------------
     if not isinstance(value, (str, bytes)):
@@ -334,22 +434,20 @@ def from_json_plotly(value, engine=None):
     Received value: {value}""".format(typ=type(value), value=value)
         )
 
-    # Determine json engine
-    if engine is None:
-        engine = config.default_engine
-
-    if engine == "auto":
-        if orjson is not None:
-            engine = "orjson"
-        else:
-            engine = "json"
-    elif engine not in ["orjson", "json"]:
-        raise ValueError("Invalid json engine: %s" % engine)
+    engine = _resolve_engine(engine)
 
     if engine == "orjson":
         JsonConfig.validate_orjson()
         # orjson handles bytes input natively
-        value_dict = orjson.loads(value)
+        value_dict = get_module("orjson", should_load=True).loads(value)
+    elif engine == "msgspec":
+        JsonConfig.validate_msgspec()
+        msgspec = get_module("msgspec", should_load=True)
+        try:
+            value_dict = msgspec.json.decode(value)
+        except (ValueError, msgspec.MsgspecError):
+            # NaN and Infinity literals, numbers out of float range
+            value_dict = from_json_plotly(value, engine="json")
     else:
         # decode bytes to str for built-in json module
         if isinstance(value, bytes):
@@ -381,7 +479,10 @@ def from_json(value, output_type="Figure", skip_invalid=False, engine=None):
           - if "json", parse JSON using built in json module
           - if "orjson", parse using the faster orjson module, requires the orjson
             package
-          - if "auto" use orjson module if available, otherwise use the json module
+          - if "msgspec", parse using the faster msgspec module, requires the
+            msgspec package
+          - if "auto" use orjson module if available, then msgspec, otherwise
+            use the json module
 
         If not specified, the default engine is set to the current value of
         plotly.io.json.config.default_engine.
@@ -437,7 +538,10 @@ def read_json(file, output_type="Figure", skip_invalid=False, engine=None):
           - if "json", parse JSON using built in json module
           - if "orjson", parse using the faster orjson module, requires the orjson
             package
-          - if "auto" use orjson module if available, otherwise use the json module
+          - if "msgspec", parse using the faster msgspec module, requires the
+            msgspec package
+          - if "auto" use orjson module if available, then msgspec, otherwise
+            use the json module
 
         If not specified, the default engine is set to the current value of
         plotly.io.json.config.default_engine.
diff --git a/pyproject.toml b/pyproject.toml
index 86bd42e6d2e..a95dd63a60b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -72,6 +72,7 @@ dev_optional = [
     "fiona<=1.9.6;python_version<='3.8'",
     "geopandas",
     "jupyterlab",
+    "msgspec",
     "orjson",
     "pandas",
     "pdfrw",
diff --git a/tests/test_io/test_to_from_plotly_json.py b/tests/test_io/test_to_from_plotly_json.py
index f8c5a71ee49..3953eaf8893 100644
--- a/tests/test_io/test_to_from_plotly_json.py
+++ b/tests/test_io/test_to_from_plotly_json.py
@@ -6,6 +6,7 @@
 import pandas as pd
 import json
 import datetime
+import decimal
 import re
 import sys
 import warnings
@@ -13,6 +14,7 @@
 from _plotly_utils.optional_imports import get_module
 
 orjson = get_module("orjson")
+msgspec = get_module("msgspec")
 
 eastern = timezone("US/Eastern")
 
@@ -67,10 +69,11 @@ def check_roundtrip(value, engine, pretty):
 
 
 # Fixtures
+engines = ["json", "auto"]
 if orjson is not None:
-    engines = ["json", "orjson", "auto"]
-else:
-    engines = ["json", "auto"]
+    engines.append("orjson")
+if msgspec is not None:
+    engines.append("msgspec")
 
 
 @pytest.fixture(scope="module", params=engines)
@@ -266,3 +269,132 @@ def test_sanitize_json(engine):
 def test_na_values(engine, na_value):
     result = pio.to_json_plotly(na_value, engine=engine)
     assert result == "null"
+
+
+def _figure_with_frames():
+    x = [datetime.datetime(2024, 1, 1) + datetime.timedelta(hours=i) for i in range(4)]
+    return go.Figure(
+        data=[go.Scatter(x=x, y=np.arange(4.0)), go.Bar(y=[1, 2, 3])],
+        layout={"title": {"text": "t"}},
+        frames=[go.Frame(data=[go.Scatter(y=np.array([4, 5, 6]))], name="f")],
+    )
+
+
+def test_figure_is_not_deep_copied(engine, monkeypatch):
+    fig = _figure_with_frames()
+    trace = go.Scatter(y=np.array([1.5, 2.5]))
+    payload = {"fig": fig, "trace": trace, "when": pd.Timestamp("2024-01-01")}
+    expected = pio.to_json_plotly(
+        {
+            "fig": fig.to_dict(),
+            "trace": trace.to_plotly_json(),
+            "when": "2024-01-01T00:00:00",
+        },
+        engine=engine,
+    )
+    before = fig.to_dict()
+
+    def no_deepcopy(value, memo=None):
+        raise AssertionError("serializing a figure should not deep copy it")
+
+    monkeypatch.setattr("plotly.basedatatypes.deepcopy", no_deepcopy)
+    result = pio.to_json_plotly(payload, engine=engine)
+    monkeypatch.undo()
+
+    assert json.loads(result) == json.loads(expected)
+    assert isinstance(fig.data[0].y, np.ndarray)
+    assert isinstance(fig.frames[0].data[0].y, np.ndarray)
+    assert fig.to_dict() == before
+
+
+def test_subclass_overrides_are_kept(engine):
+    class MyFigure(go.Figure):
+        def to_dict(self):
+            res = super().to_dict()
+            res["layout"]["title"] = {"text": "from to_dict"}
+            return res
+
+    class MyScatter(go.Scatter):
+        def to_plotly_json(self):
+            return dict(super().to_plotly_json(), name="from to_plotly_json")
+
+    result = json.loads(
+        pio.to_json_plotly(
+            {"fig": MyFigure(go.Bar(y=[1])), "trace": MyScatter(y=[1])}, engine=engine
+        )
+    )
+    assert result["fig"]["layout"]["title"] == {"text": "from to_dict"}
+    assert result["trace"]["name"] == "from to_plotly_json"
+
+
+def test_datetime_series_with_nat(engine):
+    value = {"v": pd.Series([pd.Timestamp("2024-01-01"), pd.NaT])}
+    result = pio.to_json_plotly(value, engine=engine)
+    assert json.loads(result) == {"v": ["2024-01-01T00:00:00", None]}
+
+
+@pytest.mark.parametrize("value", [object(), 1j, {(1, 2): 1}, [{(1,): 2}]])
+def test_unserializable_raises_type_error(engine, value):
+    with pytest.raises(TypeError):
+        pio.to_json_plotly({"v": value}, engine=engine)
+
+
+@pytest.mark.skipif(msgspec is None, reason="requires msgspec")
+def test_auto_engine_uses_msgspec_without_orjson(monkeypatch):
+    def without_orjson(name, **kwargs):
+        return None if name == "orjson" else get_module(name, **kwargs)
+
+    monkeypatch.setattr("plotly.io._json.get_module", without_orjson)
+    utc = datetime.datetime(2024, 1, 1, tzinfo=datetime.timezone.utc)
+    # msgspec writes UTC as Z, the json engine as +00:00
+    assert (
+        pio.to_json_plotly({"t": utc}, engine="auto") == '{"t":"2024-01-01T00:00:00Z"}'
+    )
+    assert pio.from_json_plotly('{"a":[1]}', engine="auto") == {"a": [1]}
+
+
+@pytest.mark.skipif(msgspec is None, reason="requires msgspec")
+def test_msgspec_default_engine():
+    original = pio.config.default_engine
+    try:
+        pio.config.default_engine = "msgspec"
+        assert pio.to_json_plotly(go.Figure(go.Bar(y=[1]))) == pio.to_json_plotly(
+            go.Figure(go.Bar(y=[1])), engine="json"
+        )
+    finally:
+        pio.config.default_engine = original
+
+
+@pytest.mark.parametrize(
+    "value",
+    [
+        decimal.Decimal("NaN"),
+        decimal.Decimal("-Infinity"),
+    ],
+)
+def test_non_finite_values_are_null(engine, pretty, value):
+    result = pio.to_json_plotly({"v": [value]}, engine=engine, pretty=pretty)
+    assert json.loads(result) == {"v": [None]}
+
+
+@pytest.mark.skipif(msgspec is None, reason="requires msgspec")
+def test_msgspec_datetime64_nat_is_null():
+    value = {"v": np.datetime64("NaT")}
+    assert pio.to_json_plotly(value, engine="msgspec") == '{"v":null}'
+
+
+@pytest.mark.skipif(msgspec is None, reason="requires msgspec")
+def test_msgspec_errors_match_json():
+    circular = []
+    circular.append(circular)
+    with pytest.raises(ValueError, match="Circular reference"):
+        pio.to_json_plotly(circular, engine="msgspec")
+    with pytest.raises(TypeError):
+        pio.to_json_plotly({decimal.Decimal("1.5"): 1}, engine="msgspec")
+
+
+@pytest.mark.skipif(msgspec is None, reason="requires msgspec")
+def test_msgspec_reads_what_json_reads():
+    value = '{"a":NaN,"b":1e400}'
+    result = pio.from_json_plotly(value, engine="msgspec")
+    assert str(result) == str(pio.from_json_plotly(value, engine="json"))
diff --git a/tests/test_optional/test_utils/test_utils.py b/tests/test_optional/test_utils/test_utils.py
index d3f2a4be160..ef477db9d19 100644
--- a/tests/test_optional/test_utils/test_utils.py
+++ b/tests/test_optional/test_utils/test_utils.py
@@ -20,6 +20,7 @@
 import base64
 
 from plotly import optional_imports, utils
+from _plotly_utils import utils as plotly_utils
 import plotly.graph_objects as go
 from plotly.graph_objs import Scatter, Scatter3d, Figure, Data
 from plotly.utils import get_by_path
@@ -457,6 +458,25 @@ def test_invalid_encode_exception(self):
         with self.assertRaises(TypeError):
             _json.dumps({"a": {1}}, cls=utils.PlotlyJSONEncoder)
 
+    def test_encoder_subclass_overrides_are_kept(self):
+        class Encoder(utils.PlotlyJSONEncoder):
+            @staticmethod
+            def encode_as_datetime(obj):
+                return "datetime"
+
+            @staticmethod
+            def encode_as_plotly(obj):
+                if not isinstance(obj, go.Figure):
+                    raise utils.NotEncodable
+                return "plotly"
+
+        value = [dt(2020, 1, 1), datetime.date(2020, 1, 1), go.Figure()]
+        assert _json.loads(_json.dumps(value, cls=Encoder)) == [
+            "datetime",
+            "datetime",
+            "plotly",
+        ]
+
 
 class TestNumpyIntegerBaseType(TestCase):
     def test_numpy_integer_import(self):
@@ -498,3 +518,28 @@ def test_no_numpy_int_type(self):
         expected_tuple = (int,)
 
         self.assertEqual(int_type_tuple, expected_tuple)
+
+
+def test_to_base64_copy_leaves_input_untouched():
+    y = np.arange(5.0)
+    x = [1, 2, 3]
+    trace = {"x": x, "y": y, "marker": {"size": np.array([1, 2])}}
+    layout = {"title": {"text": "t"}}
+    fig = {"data": [trace], "layout": layout}
+
+    out = plotly_utils.to_base64_copy(fig)
+
+    assert out == {
+        "data": [
+            {
+                "x": x,
+                "y": plotly_utils.to_typed_array_spec(y),
+                "marker": {"size": plotly_utils.to_typed_array_spec(np.array([1, 2]))},
+            }
+        ],
+        "layout": layout,
+    }
+    assert trace["y"] is y
+    assert out["data"][0]["x"] is x
+    assert out["layout"] is layout
+    assert plotly_utils.to_base64_copy(layout) is layout
diff --git a/uv.lock b/uv.lock
index fd26d9e88e7..dcbdbe3771f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -4865,6 +4865,242 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/98/6af411189d9413534c3eb691182bff1f5c6d44ed2f93f2edfe52a1bbceb8/more_itertools-11.0.2-py3-none-any.whl", hash = "sha256:6e35b35f818b01f691643c6c611bc0902f2e92b46c18fffa77ae1e7c46e912e4", size = 71939, upload-time = "2026-04-09T15:01:32.21Z" },
 ]
 
+[[package]]
+name = "msgspec"
+version = "0.18.6"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.8.1' and python_full_version < '3.9' and sys_platform != 'win32'",
+    "python_full_version > '3.8' and python_full_version < '3.9' and sys_platform == 'win32'",
+    "python_full_version > '3.8' and python_full_version < '3.8.1' and sys_platform != 'win32'",
+    "python_full_version <= '3.8' and sys_platform == 'win32'",
+    "python_full_version <= '3.8' and sys_platform != 'win32'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5e/fb/42b1865063fddb14dbcbb6e74e0a366ecf1ba371c4948664dde0b0e10f95/msgspec-0.18.6.tar.gz", hash = "sha256:a59fc3b4fcdb972d09138cb516dbde600c99d07c38fd9372a6ef500d2d031b4e", size = 216757, upload-time = "2024-01-22T04:34:59.365Z" }
+wheels = [
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+    { url = "https://files.pythonhosted.org/packages/d4/b8/d00d7d03bba8b4eb0bbfdeb6c047163877b2916995f837113d273fd3b774/msgspec-0.18.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1a76b60e501b3932782a9da039bd1cd552b7d8dec54ce38332b87136c64852dd", size = 192246, upload-time = "2024-01-22T04:34:09.752Z" },
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 version = "1.42.1"
@@ -6712,6 +6948,9 @@ dev = [
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@@ -6821,6 +7060,9 @@ dev-optional = [
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     { name = "matplotlib", marker = "extra == 'dev-matplotlib'" },
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