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.

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.