Jupie
Jupie
Where data whispers its secrets, and beauty emerges from complexity
90-day free trial • VS Code extension • No credit card required
Real questions. Thoughtful answers.
One tender click, and Claude sees everything — your code, your errors, your journey. Like a trusted confidant who truly understands.
Data Lens opens a window into your data's soul. Peek inside any variable, at any moment, and watch its story unfold.
Every cell remembers. Cell-level history captures each gentle evolution, so you never lose the thread of your work.
Your pipeline becomes a constellation of light. Each connection visible, each dependency illuminated. Know before you leap.
Watch cells bloom in parallel, like flowers opening at dawn. 3-5x faster, while your code remains untouched.
Let it flow. Cross-notebook imports as natural as breathing. Finally, harmony across your work.
Elegant views that make complex Jupyter notebooks simple
Your notebook as poetry in motion. See the dance of data at a glance.
A window into your data's heart. Inspect any variable, at any moment in its journey.
Every cell tells its own story. Track changes, compare moments, never lose your way.
Claude becomes your gentle guide. One click, and it understands your entire journey.
Get started in minutes
Download the Jupie VS Code extension and install it in one click.
Register with your email to receive a free 90-day activation key.
Open any Jupyter notebook (.ipynb file) with Jupie and see your data flow instantly.
Let your pipelines breathe. Understand deeply, execute gracefully.
See your model's journey. Let preprocessing flow in harmony.
Your experiments, beautifully organized. Every connection clear.
Help your students fall in love with how code flows and data connects.
Everything you need to know about Jupie
Jupie is a VS Code extension that transforms how you work with Jupyter notebooks. It provides one-click AI debugging with Claude, Data Lens for variable inspection, cell-level git history, and automatic dataflow visualization. Unlike standard Jupyter notebook editors, Jupie shows you exactly how your data flows and gives you powerful tools to debug, inspect, and collaborate.
When a cell fails, click 'Debug with Claude' and Jupie automatically sends rich context to Claude Code: your cell code, error traceback, upstream dependencies, variable states, and recent edit history. Claude understands your entire pipeline context without manual copy-pasting. You can also attach screenshots of visualizations for complete context.
Data Lens lets you inspect any variable at any point in your data pipeline. Click any colored cell in the waterfall diagram to see the variable's state after that cell executes. View DataFrame previews, array shapes, statistics, and more. Perfect for understanding how data transforms through your notebook.
Jupie provides cell-level diff views for your notebook's git history. See exactly which cells changed between commits, compare versions side-by-side, and restore old cell code with one click. No more wrestling with JSON diffs. GitHub PR integration lets you review and comment on specific cells during code review.
While JupyterLab and Jupyter Notebook are excellent for basic notebook editing, Jupie adds advanced features specifically for data scientists working with complex workflows. Jupie provides one-click AI debugging, Data Lens for variable inspection, cell-level git history with GitHub PR support, automatic DAG visualization, and parallel cell execution.
Yes! Jupie works seamlessly with all standard .ipynb files. Simply open your existing Jupyter notebooks in VS Code with Jupie installed, and immediately access all features. No conversion or migration needed.
Use @jupie-export variable_name to expose variables and @jupie-import variable_name from notebook to import them. It's like Unix pipes for notebooks—chain data prep, feature engineering, training, and evaluation into modular pipelines. Create a workspace (.ipynbw file) to orchestrate and run all notebooks together with automatic parallel execution.
Yes! Jupie supports both local Python execution and remote Jupyter servers. Connect to any Jupyter server and all features work including parallel execution. Cross-notebook exports/imports use pickle files on the server, so multi-notebook workflows work seamlessly in remote environments too.
After installing, open the Command Palette (Cmd/Ctrl+Shift+P) and search for "Jupie Tutorial" to generate interactive tutorial notebooks. Choose Quick Start (5 min), Full Tutorial (15 min), or Advanced Workshop for multi-notebook orchestration. Tutorials are created in your workspace and guide you through all features.
Begin your journey. See the difference in moments.
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