利用可能.ipynb

IPYNB 出力削除

共有前に出力、エラー、実行番号を削除します。

Free and instant. Files are processed briefly on our servers for conversion, then discarded — nothing is stored.

How it works

Three steps from upload to download

1

Drop your notebook

Drag a.ipynb onto the card or browse your files. You never create an account.

2

Choose the export

Select Word, PDF, Markdown, HTML, LaTeX, ZIP, Python tools, viewer, cleaner, merger, or splitter, whatever matches your reviewer.

3

Download and ship

Grab the finished file immediately. Open it locally, attach it to email, or upload it to your LMS.

IPYNB 出力削除: 共有前に出力、エラー、実行番号を削除します。

IPYNB 出力削除 は、環境設定ではなく成果物が必要な場面のためのツールです。.ipynb を読み込み、必要な設定を確認し、ブラウザから クリーンな.ipynb をダウンロードできます。共有前に出力、エラー、実行番号を削除します。

実務の notebook には文章、コード、図、出力、時には機密データが混ざります。そのため主要な変換はローカルで実行され、ファイルをアップロードせずに処理できます。

nbconvert、Colab、VS Code、各種拡張がすでに安定して動いているなら、それを使って問題ありません。このページは、制限された PC、急ぎの提出、壊れたローカル環境で素早くきれいな出力が欲しい時に役立ちます。

共有前には結果を開き、見出し、図、エラーセル、誤って残った認証情報を確認してください。変換できたファイルと提出できるファイルの差は、この確認で決まります。

使い方

Step 01

Upload the notebook you want to clean

Drop an .ipynb to strip cell outputs and execution counts before Git, email, or LMS upload. Secure server conversion — no account required.

Free IPYNB output cleaner online: drop a Jupyter notebook to strip cell outputs and execution counts in your browser

Step 02

Download the cleaned .ipynb

Get a lighter notebook with bulky outputs removed while code and Markdown stay intact. Ideal for GitHub diffs and smaller attachments.

Download a cleaned .ipynb after removing heavy outputs — secure Jupyter notebook output cleaner on Jupy Tools

Step 03

Preview the cleaned notebook JSON

Inspect the cleaned nbformat before you push: verify cells, sources, and structure after clearing outputs in this online stripper.

Preview cleaned notebook JSON with Markdown and code cells after stripping outputs in the IPYNB output cleaner

このツールを使う理由

すぐ使える結果

共有前に出力、エラー、実行番号を削除します。

実用的なプライバシー

主要な処理はブラウザ内で実行されるため、ファイルを手元に置いたまま作業できます。

環境依存を減らす

急いでいる時に、壊れた Jupyter、LaTeX、pandoc、拡張機能へ依存せずに済みます。

読みやすい出力

クリーンな.ipynb は、読む、レビューする、採点する、保存する人に扱いやすい形になります。

実際の提出向け

学生、研究者、分析担当者、開発者、データチームの実際の締め切りに役立ちます。

共有前に確認

notebook に秘密情報が含まれる可能性がある場合は、チーム外へ送る前に必ず結果を確認してください。

FAQ

よくある質問

Upload your.ipynb to this page, keep Clear outputs enabled, and download the result. That is clear jupyter notebook output online in practice, no conda or pip install required for the strip itself.

Use this browser tool: it parses the notebook locally and writes a new.ipynb with outputs removed. You do not need Jupyter running, only a modern browser for remove output from jupyter notebook online style workflows.

It deletes the outputs array under each code cell (plots, prints, HTML, errors) while leaving source code and Markdown cells unchanged, common before GitHub when you want strip output from ipynb searches to end in a lean file.

Process one notebook per download here, repeat for each file, or script locally if you have dozens. This page targets the common single-notebook clear all outputs jupyter online task.

Yes, it performs the usual jupyter notebook output cleaner role: outputs gone (and optionally In [n] counts cleared), sources preserved, valid.ipynb out.

No, only stored outputs under code cells are removed. Markdown and code cell sources stay unless you edit them elsewhere.

Yes, plot images live in cell outputs in most notebooks, so clear outputs removes them from the exported file; keep a copy of the original if you still need figures locally.

The strip uses secure server conversion as described in our Privacy Policy — processed briefly and not stored.

For one-off notebooks, yes: you get the same goal—outputs gone, sources kept—without installing a git filter. For every-commit automation, keep nbstripout or a CI hook; use this page when you need a quick clean file now.

Outputs inflate diffs, slow clones, and can expose private paths or sample data. Stripping keeps reviews focused on code and Markdown while shrinking the .ipynb.

Yes. Toggle clear outputs and clear execution counts independently so your team’s hygiene rules match how you remove output from ipynb.

No. Only stored outputs under code cells are removed. Markdown and code sources stay unless you edit them elsewhere.