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  1. Plotly Python Graphing Library

    Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, …

  2. Interactive Data Visualization & Data Apps | Plotly

    Millions of data teams trust Plotly for interactive data visualization. From open source graphing libraries to production data apps and AI-native analytics, explore what your team can build.

  3. plotly · PyPI

    2 days ago · Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial …

  4. GitHub - plotly/plotly.py: The interactive graphing library for Python ...

    Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and …

  5. Plotly - Wikipedia

    Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for …

  6. Plotly tutorial - GeeksforGeeks

    Jul 23, 2025 · Plotly is a popular open-source Python library used for creating interactive, publication-quality visualizations. It is widely used in data science, analytics and machine learning for presenting …

  7. Visualize Data, Together • Plotly

    Plotly's open-source, interactive charting libraries for R, Python, and Javascript are the fastest growing charting libraries in each language. Work entirely offline in IDEs like RStudio or Jupyter notebook, or …

  8. Plotly - GitHub

    Plotly has 228 repositories available. Follow their code on GitHub.

  9. Plotly for Data Visualization in Python - GeeksforGeeks

    Apr 28, 2026 · Plotly is a data visualization library that enables users to create interactive, publication ready charts and dashboards in Python, R and JavaScript. It is widely used for exploratory data …

  10. plotly package — 6.7.0 documentation - GitHub Pages

    Optionally, if you’re working in IPython, you can set notebook=True and the PlotlyRenderer will call plotly.iplot instead of plotly.plot to have the graph appear directly in the IPython notebook.