For Data Scientists

Explore Data Anywhere. No Environment Needed.

Python Fiddle gives you a rich Python environment in your browser with the scientific stack ready to go — perfect for quick analysis, prototyping, and sharing results with colleagues.

The scientific stack. No conda, no venv.

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Instant Start

No conda environment to create, no package conflicts to resolve. Open the browser and start analysing.

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Scientific Stack Ready

pandas, numpy, matplotlib, scipy, scikit-learn, seaborn, statsmodels — all available out of the box.

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Shareable Results

Share a link instead of an .ipynb file. Colleagues can view and run your notebook without any setup.

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Upload Your Data

Load local CSV, JSON, or other data files directly into your browser session for analysis.

Built for data work

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Rich Visualisations

Charts from matplotlib, seaborn, plotly, altair, and bokeh render inline — just like a local Jupyter notebook.

See Matplotlib Example →
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AI Data Analyst

Let the AI assistant write and explain analysis code, suggest visualisations, and help interpret results.

Try AI Data Analyst →
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Upload Your Data

Load local CSV, Excel, or JSON files directly into your browser session — no need to host your data anywhere before you can start analysing it.

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Notebook-Style Workflow

Mix code, markdown, and output in a single document — the same notebook-style workflow you know from Jupyter.

Open a Notebook →

Your go-to packages, available instantly

Powered by Pyodide, the full scientific Python stack runs directly in your browser — no installation, no dependency conflicts.

Share analysis. Not zip files.

Send a link instead of a notebook file. Colleagues can view your analysis, run the code, and fork their own copy — no Jupyter installation required on their end.

  • ✓Shareable URL for every notebook
  • ✓Recipients can run your code without any setup
  • ✓Embed notebooks in blog posts or reports
  • ✓Upload local CSV and data files directly into your session
📊python-fiddle.com/saved/analysis

Share your analysis as a link — no .ipynb attachments

Works alongside Jupyter — use Python Fiddle for quick exploration and sharing

Start exploring data right now

Open the notebook and start analysing — pandas, matplotlib, and the rest are already loaded.