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Plotly is a data visualization and analytics platform that enables users to create, share, and collaborate on interactive graphs and dashboards. It supports a wide range of chart types and is widely used in data science, business intelligence, and academic research for its powerful, easy-to-use tools and extensive integration capabilities.
30000 / day
50000 / day
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Create interactive and dynamic graphs that can be embedded in web pages or shared online.
Build and share dashboards that combine multiple visualizations for comprehensive data analysis.
Collaborate in real-time with team members on data projects and visualizations.
Easily integrate Plotly's visualization tools with other applications and platforms using its API.
Supports a variety of chart types including line, bar, pie, scatter, and more specialized charts like 3D and statistical charts.
Host your visualizations and dashboards on Plotly's cloud for easy access and sharing.
Export your visualizations in various formats including PNG, JPEG, PDF, and SVG for use in publications and presentations.
Offers libraries and support for multiple programming languages including Python, R, MATLAB, and JavaScript.
Visualize and analyze real-time data streams with Plotly's dynamic updating capabilities.
Customize the look and feel of your visualizations with a wide range of themes and styling options.
Plotly has a large and active community of users and developers, offering extensive documentation, tutorials, and forums for support.
Plotly offers enterprise-grade solutions for businesses requiring advanced analytics, security, and scalability features.
Plotly contributes to the open-source community with libraries like Plotly.js, Dash, and Chart Studio.
Widely used in educational settings for teaching data visualization and analysis, with special pricing and resources for educators and students.
Plotly integrates seamlessly with Jupyter Notebooks, making it a popular choice for data scientists and researchers.
Security headers report is a very important part of user data protection. Learn more about http headers for plotly.com