diff --git a/crates/nu_plugin_polars/src/dataframe/command/core/mod.rs b/crates/nu_plugin_polars/src/dataframe/command/core/mod.rs
index 4acf6778e14..1badf9d5f13 100644
--- a/crates/nu_plugin_polars/src/dataframe/command/core/mod.rs
+++ b/crates/nu_plugin_polars/src/dataframe/command/core/mod.rs
@@ -2,6 +2,7 @@ mod cache;
 mod columns;
 mod fetch;
 mod open;
+mod profile;
 mod save;
 mod schema;
 mod shape;
@@ -28,6 +29,7 @@ pub(crate) fn core_commands() -> Vec<Box<dyn PluginCommand<Plugin = PolarsPlugin
         Box::new(cache::LazyCache),
         Box::new(LazyFetch),
         Box::new(OpenDataFrame),
+        Box::new(profile::ProfileDF),
         Box::new(Summary),
         Box::new(ShapeDF),
         Box::new(SchemaCmd),
diff --git a/crates/nu_plugin_polars/src/dataframe/command/core/profile.rs b/crates/nu_plugin_polars/src/dataframe/command/core/profile.rs
new file mode 100644
index 00000000000..c975e8d3214
--- /dev/null
+++ b/crates/nu_plugin_polars/src/dataframe/command/core/profile.rs
@@ -0,0 +1,105 @@
+use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
+use nu_protocol::{
+    record, Category, Example, LabeledError, PipelineData, ShellError, Signature, Type, Value,
+};
+
+use crate::{
+    values::{
+        cant_convert_err, CustomValueSupport, NuDataFrame, NuLazyFrame, PolarsPluginObject,
+        PolarsPluginType,
+    },
+    PolarsPlugin,
+};
+
+pub struct ProfileDF;
+
+impl PluginCommand for ProfileDF {
+    type Plugin = PolarsPlugin;
+
+    fn name(&self) -> &str {
+        "polars profile"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .input_output_type(
+                Type::Custom("dataframe".into()),
+                Type::Custom("dataframe".into()),
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn description(&self) -> &str {
+        "Profile a lazy dataframe. This will run the query and return a record containing the materialized DataFrame and a DataFrame that contains profiling information of each node that is executed.
+
+The units of the timings are microseconds."
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Profile a lazy dataframe",
+            example: r#"[[a b]; [1 2] [1 4] [2 6] [2 4]]
+    | polars into-lazy
+    | polars group-by a
+    | polars agg [
+        (polars col b | polars min | polars as "b_min")
+        (polars col b | polars max | polars as "b_max")
+        (polars col b | polars sum | polars as "b_sum")
+     ]
+    | polars profile
+"#,
+            result: None,
+        }]
+    }
+
+    fn run(
+        &self,
+        plugin: &Self::Plugin,
+        engine: &EngineInterface,
+        call: &EvaluatedCall,
+        input: PipelineData,
+    ) -> Result<PipelineData, LabeledError> {
+        let value = input.into_value(call.head)?;
+        match PolarsPluginObject::try_from_value(plugin, &value)? {
+            PolarsPluginObject::NuDataFrame(df) => command_lazy(plugin, engine, call, df.lazy()),
+            PolarsPluginObject::NuLazyFrame(lazy) => command_lazy(plugin, engine, call, lazy),
+            _ => Err(cant_convert_err(
+                &value,
+                &[PolarsPluginType::NuDataFrame, PolarsPluginType::NuLazyFrame],
+            )),
+        }
+        .map_err(LabeledError::from)
+    }
+}
+
+fn command_lazy(
+    plugin: &PolarsPlugin,
+    engine: &EngineInterface,
+    call: &EvaluatedCall,
+    lazy: NuLazyFrame,
+) -> Result<PipelineData, ShellError> {
+    let (df, profiling_df) = lazy
+        .to_polars()
+        .profile()
+        .map_err(|e| ShellError::GenericError {
+            error: format!("Could not profile dataframe: {e}"),
+            msg: "".into(),
+            span: Some(call.head),
+            help: None,
+            inner: vec![],
+        })?;
+
+    let df = NuDataFrame::from(df).cache_and_to_value(plugin, engine, call.head)?;
+    let profiling_df =
+        NuDataFrame::from(profiling_df).cache_and_to_value(plugin, engine, call.head)?;
+
+    let result = Value::record(
+        record!(
+            "dataframe" => df,
+            "profiling" => profiling_df,
+        ),
+        call.head,
+    );
+
+    Ok(PipelineData::Value(result, None))
+}