Plotly Beautiful data visualizations to stunning data apps with AI

What is Plotly?

Plotly provides tools for creating sophisticated data visualizations and interactive data applications, primarily utilizing Python through its popular Dash library. It caters to a large community of users who prefer Python for developing analytical web applications without needing extensive JavaScript knowledge. The platform allows for the transformation of data into visually appealing and informative graphics.

For enterprise needs, Plotly offers Dash Enterprise, a platform designed to enhance Dash capabilities for production environments. Dash Enterprise accelerates the development process with AI-assisted features, simplifies deployment, and ensures robust security and scalability. It helps organizations convert their data analysis conducted with Plotly Dash into secure, production-grade business solutions, supporting centralized development and management of data applications.

Features

Interactive Data Visualizations: Create sophisticated charts and graphs.
Python Data App Development: Build data applications using pure Python with Dash.
AI-Assisted Development: Leverage AI to accelerate app creation in Dash Enterprise.
One-Click Deployment: Simplify the process of deploying Dash applications via Dash Enterprise.
Enterprise Security & Scaling: Implement robust security measures and scale applications for organizational use.
App Studio: Integrated development environment for rapid app building (Dash Enterprise).
Chatbot Builder: Capability to build chatbots within the platform (Dash Enterprise).
ChatGPT Integration: Incorporate ChatGPT functionalities into applications (Dash Enterprise).
Dash Open Source: Free library for creating data apps.
Dash Enterprise: Comprehensive platform for production deployment, development, and authentication.

Use Cases

Developing production-grade data applications for business intelligence.
Creating interactive dashboards for data exploration and analysis.
Accelerating the deployment of Python-based data apps in enterprise settings.
Building custom analytics tools for industries like finance, energy, and healthcare.
Monitoring real-time data streams through custom applications.
Visualizing complex datasets for research and reporting.
Implementing secure, scalable analytical solutions within organizations.