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Jupyter notebook converter","maintainers":[{"name":"asiones","email":"asionesjia@gmail.com"}],"readme":"# @mdgate/ipynb\n\n**Convert Jupyter notebooks to Markdown in TypeScript.**\n\n[`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) reads `.ipynb` files directly in JavaScript and converts cells into GitHub-Flavored Markdown, without Python, native addons, WASM, or Jupyter.\n\nWorks in **Node.js, Cloudflare Workers, Edge runtimes, and browsers**.\n\n```bash\nnpm install @mdgate/ipynb\n```\n\n```ts\nimport { toMarkdown } from '@mdgate/ipynb';\n\nconst markdown = await toMarkdown(bytes);\n```\n\n`bytes` is a `Uint8Array`, so the notebook can come from a file upload, object storage, a git checkout, a browser file picker, or anywhere else your application gets bytes.\n\n---\n\n## Why [`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb)\n\nNotebooks mix prose, code, and outputs. Dumping the raw JSON is a poor input for search, RAG, or an agent.\n\n[`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) is a notebook reader written for the same runtime as your application:\n\n* **Pure TypeScript**\n* **Notebook → Markdown locally**\n* **No Python runtime**\n* **No native addons**\n* **No WASM runtime**\n* **Zero third-party runtime dependencies**\n* **Works with raw `Uint8Array` input**\n* **Detects nbformat JSON from its contents, not only the filename**\n\n---\n\n## What it extracts\n\n[`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) parses nbformat JSON and rebuilds a shared document model.\n\nThe converter handles notebook-specific concerns including:\n\n* markdown cells as Markdown\n* code cells as fenced code blocks\n* cell outputs that can be represented as text\n* cell order\n\nThe output is Markdown that can be searched, indexed, chunked, cached, or passed directly to an AI agent.\n\n---\n\n## Node.js\n\n```ts\nimport { readFile } from 'node:fs/promises';\nimport { toMarkdown } from '@mdgate/ipynb';\n\nconst bytes = new Uint8Array(await readFile('analysis.ipynb'));\nconst markdown = await toMarkdown(bytes);\n\nconsole.log(markdown);\n```\n\n---\n\n## Browser\n\n```ts\nimport { toMarkdown } from '@mdgate/ipynb';\n\nconst file = input.files![0];\nconst bytes = new Uint8Array(await file.arrayBuffer());\n\nconst markdown = await toMarkdown(bytes);\n```\n\n---\n\n## Cloudflare Workers and Edge runtimes\n\n```ts\nimport { toMarkdown } from '@mdgate/ipynb';\n\nexport default {\n  async fetch(request: Request) {\n    const bytes = new Uint8Array(await request.arrayBuffer());\n    const markdown = await toMarkdown(bytes);\n\n    return new Response(markdown, {\n      headers: {\n        'content-type': 'text/markdown; charset=utf-8',\n      },\n    });\n  },\n};\n```\n\n---\n\n## Format detection\n\nYou do not need to trust the file extension.\n\n[`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) recognizes Jupyter notebooks from nbformat JSON.\n\n```ts\nconst markdown = await toMarkdown(bytes);\n```\n\nA path can still be supplied as a format hint when [`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) is used through [`@mdgate/converters`](https://github.com/mdgate/converters/tree/main/packages/converters) or a reader composed with [`@mdgate/core`](https://github.com/mdgate/converters/tree/main/packages/core), but the path is never used to read a file from disk.\n\n---\n\n## Compose it with other file readers\n\n[`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) implements the converter interface from [`@mdgate/core`](https://github.com/mdgate/converters/tree/main/packages/core).\n\n```ts\nimport { create } from '@mdgate/core';\nimport { ipynb } from '@mdgate/ipynb';\nimport { html } from '@mdgate/html';\n\nconst read = create([\n  ipynb(),\n  html(),\n]);\n```\n\nThe application still uses one reading interface while each format remains independently installable.\n\n---\n\n## Need more than notebooks?\n\nIf your application needs to read many different file types, use the complete converter set:\n\n```bash\nnpm install @mdgate/converters\n```\n\n```ts\nimport { toMarkdown } from '@mdgate/converters';\n\nconst markdown = await toMarkdown(bytes, {\n  path: filename,\n});\n```\n\n[`@mdgate/ipynb`](https://github.com/mdgate/converters/tree/main/packages/ipynb) is one of the single-format packages in the open-source [`mdgate/converters`](https://github.com/mdgate/converters) project.\n\nFor AI agents, the same converter architecture can be used to extend `read_file` from text files to real-world document formats.\n\n---\n\n## License\n\nMIT\n","readmeFilename":"README.md"}