diff --git a/cspell.json b/cspell.json
index 3f8516fbb..7a1715964 100644
--- a/cspell.json
+++ b/cspell.json
@@ -43,13 +43,16 @@
         "JVSC",
         "millis",
         "nbformat",
+        "nbinsx",
         "numpy",
         "pgsql",
         "pids",
         "Pids",
+        "plotly",
         "PYTHONHOME",
         "Reselecting",
         "taskkill",
+        "toolsai",
         "unconfigured",
         "Unconfigured",
         "unittests",
@@ -58,7 +61,11 @@
         "venv's",
         "Venv",
         "venvs",
-        "vscode"
+        "vscode",
+        "xanchor",
+        "xaxis",
+        "yanchor",
+        "yaxis"
     ],
     "useGitignore": true
 }
diff --git a/package.json b/package.json
index 243dd980a..626012dda 100644
--- a/package.json
+++ b/package.json
@@ -25,6 +25,12 @@
     "engines": {
         "vscode": "^1.95.0"
     },
+    "extensionDependencies": [
+        "ms-toolsai.jupyter-renderers"
+    ],
+    "extensionPack": [
+        "ms-toolsai.jupyter-renderers"
+    ],
     "l10n": "./l10n",
     "extensionKind": [
         "workspace"
diff --git a/src/notebooks/deepnote/deepnoteDataConverter.ts b/src/notebooks/deepnote/deepnoteDataConverter.ts
index 124834625..4d485eabd 100644
--- a/src/notebooks/deepnote/deepnoteDataConverter.ts
+++ b/src/notebooks/deepnote/deepnoteDataConverter.ts
@@ -252,6 +252,8 @@ export class DeepnoteDataConverter {
                     );
                 } else if (item.mime === 'application/vnd.vega.v5+json') {
                     data['application/vnd.vega.v5+json'] = JSON.parse(new TextDecoder().decode(item.data));
+                } else if (item.mime === 'application/vnd.plotly.v1+json') {
+                    data['application/vnd.plotly.v1+json'] = JSON.parse(new TextDecoder().decode(item.data));
                 } else if (item.mime === 'application/vnd.deepnote.sql-output-metadata+json') {
                     data['application/vnd.deepnote.sql-output-metadata+json'] = JSON.parse(
                         new TextDecoder().decode(item.data)
@@ -342,6 +344,15 @@ export class DeepnoteDataConverter {
                             );
                         }
 
+                        if (data['application/vnd.plotly.v1+json']) {
+                            items.push(
+                                NotebookCellOutputItem.json(
+                                    data['application/vnd.plotly.v1+json'],
+                                    'application/vnd.plotly.v1+json'
+                                )
+                            );
+                        }
+
                         if (data['application/vnd.deepnote.sql-output-metadata+json']) {
                             items.push(
                                 NotebookCellOutputItem.json(
diff --git a/src/notebooks/deepnote/deepnoteDataConverter.unit.test.ts b/src/notebooks/deepnote/deepnoteDataConverter.unit.test.ts
index 168f153c6..10931ca36 100644
--- a/src/notebooks/deepnote/deepnoteDataConverter.unit.test.ts
+++ b/src/notebooks/deepnote/deepnoteDataConverter.unit.test.ts
@@ -513,6 +513,54 @@ suite('DeepnoteDataConverter', () => {
             assert.strictEqual(new TextDecoder().decode(markdownItem!.data), markdownContent);
             assert.strictEqual(new TextDecoder().decode(plainItem!.data), 'Result\n\nThis is formatted output.');
         });
+
+        test('converts Plotly chart output', () => {
+            const plotlyData = {
+                data: [
+                    {
+                        type: 'bar',
+                        x: ['A', 'B', 'C'],
+                        y: [10, 20, 15]
+                    }
+                ],
+                layout: {
+                    title: 'Sample Chart',
+                    xaxis: { title: 'Category' },
+                    yaxis: { title: 'Value' }
+                }
+            };
+
+            const deepnoteOutputs: DeepnoteOutput[] = [
+                {
+                    output_type: 'execute_result',
+                    execution_count: 1,
+                    data: {
+                        'application/vnd.plotly.v1+json': plotlyData
+                    }
+                }
+            ];
+
+            const blocks: DeepnoteBlock[] = [
+                {
+                    blockGroup: 'test-group',
+                    id: 'block1',
+                    type: 'code',
+                    content: 'fig.show()',
+                    sortingKey: 'a0',
+                    outputs: deepnoteOutputs
+                }
+            ];
+
+            const cells = converter.convertBlocksToCells(blocks);
+            const outputs = cells[0].outputs!;
+
+            assert.strictEqual(outputs.length, 1);
+            assert.strictEqual(outputs[0].items.length, 1);
+            assert.strictEqual(outputs[0].items[0].mime, 'application/vnd.plotly.v1+json');
+
+            const outputData = JSON.parse(new TextDecoder().decode(outputs[0].items[0].data));
+            assert.deepStrictEqual(outputData, plotlyData);
+        });
     });
 
     suite('round trip conversion', () => {
@@ -597,6 +645,66 @@ suite('DeepnoteDataConverter', () => {
             assert.deepStrictEqual(output.data?.['application/vnd.deepnote.sql-output-metadata+json'], sqlMetadata);
         });
 
+        test('Plotly chart output round-trips correctly', () => {
+            const plotlyData = {
+                data: [
+                    {
+                        type: 'histogram',
+                        x: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+                        nbinsx: 30,
+                        opacity: 0.75
+                    }
+                ],
+                layout: {
+                    title: 'Sessions per week by churn status',
+                    xaxis: { title: 'Sessions per week' },
+                    yaxis: { title: 'Users' },
+                    legend: {
+                        yanchor: 'top',
+                        y: 1,
+                        xanchor: 'left',
+                        x: 1.02
+                    }
+                }
+            };
+
+            const originalBlocks: DeepnoteBlock[] = [
+                {
+                    blockGroup: 'test-group',
+                    id: 'plotly-block',
+                    type: 'code',
+                    content: 'fig = px.histogram(df)\nfig.show()',
+                    sortingKey: 'a0',
+                    executionCount: 1,
+                    metadata: {},
+                    outputs: [
+                        {
+                            output_type: 'execute_result',
+                            execution_count: 1,
+                            data: {
+                                'application/vnd.plotly.v1+json': plotlyData
+                            }
+                        }
+                    ]
+                }
+            ];
+
+            const cells = converter.convertBlocksToCells(originalBlocks);
+            const roundTripBlocks = converter.convertCellsToBlocks(cells);
+
+            // The round-trip should preserve the Plotly chart output
+            assert.strictEqual(roundTripBlocks.length, 1);
+            assert.strictEqual(roundTripBlocks[0].id, 'plotly-block');
+            assert.strictEqual(roundTripBlocks[0].outputs?.length, 1);
+
+            const output = roundTripBlocks[0].outputs![0] as {
+                output_type: string;
+                data?: Record<string, unknown>;
+            };
+            assert.strictEqual(output.output_type, 'execute_result');
+            assert.deepStrictEqual(output.data?.['application/vnd.plotly.v1+json'], plotlyData);
+        });
+
         test('real deepnote notebook round-trips without losing data', () => {
             // Inline test data representing a real Deepnote notebook with various block types
             // blockGroup is an optional field not in the DeepnoteBlock interface, so we cast as any