Notebook Features Zed Should Support #32343
ebenezergelo
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Ideas From VSCode
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so how to use ipynb for now in zed? is it the only way is to export ipynb as py then run py file? |
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I really love Zed — it’s fast, elegant, and incredibly well-designed. The only drawback for me as a data scientist is the lack of proper Jupyter notebook support. I work heavily with .ipynb files, and while the REPL-style cells help, they don’t quite match the full interactive experience needed for data workflows.
Native .ipynb UI
• Render notebook cells with clear visual boundaries.
• Support markdown + rich media (images, inline plots, LaTeX).
• Allow reordering cells via drag-and-drop; adding/deleting cells.
Interactive Execution
• Select individual or multiple cells to run, yielding inline outputs.
• Display output types: text, tables, charts, HTML alongside cells.
• Assign kernels (e.g., Python, R, Julia) via dropdown or status bar.
Seamless Editing
• Edit markdown and code directly in-place.
• VS‑Code–style shortcuts (Shift+Enter, Ctrl+Enter) to run current cell.
• Show execution status (busy/success/error indicators).
Kernel Management
• List available kernels and switch easily.
• Connect to remote kernels (SSH, Docker, JupyterHub).
• Restart kernel option, clear outputs, and manage state.
Advanced Features
• Variable explorer to inspect current namespace.
• Table of contents for navigation.
• Support saving/loading .ipynb, converting to/from script formats.
• Full support for Jupyter metadata and cell tags.
Collaboration & Integration
• Real-time collaboration with shared notebook editing and execution.
• Integration with existing Zed features: AI assistant, multibuffer, terminal, Git.
• Optionally allow exporting notebooks (HTML, PDF) directly from Zed.
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