
R Project
A free software environment for statistical computing and graphics.
Discover the best AI tools to help you data visualization.

A free software environment for statistical computing and graphics.

Turn your diabetes data points into accessible, actionable, and meaningful insights.

A Python framework for building interactive data exploration tools and web applications.

A Zero-Code Multi-Agent Platform for Developing Everything, enabling rapid construction and execution of customized multi-agent systems.
A free and open source personal Electronic Health Record (EHR) system.

Simple yet flexible JavaScript charting library for the modern web.

Create, edit, and collaborate on spreadsheets online.

The AI workspace for data analysis, exploration, and machine learning, enabling data professionals to simplify data exploration, accelerate analysis, and deliver actionable insights.

The fastest, easiest way to share data and analytics inside your company.

End-to-end bioinformatic solutions to speed the path from raw experimental data to new treatments and diagnostics.

Create infographics smarter with AI, transforming ideas into professional visuals.
The observability stack for Physical AI.

The spreadsheet where data comes to life.
Visually explore and understand your data with AI.

Turn your data into real business outcomes with trusted data at speed and scale to power your AI initiatives.

Build apps without code.

The Interactive Experience Platform enabling organizations to effortlessly deliver digital content for physical spaces without code.

An AI-powered interactive platform to design, manage, and publish engaging business content faster.

Generative AI assistant that enhances data analytics in Microsoft Fabric.
Turn natural language into advanced Excel formulas, VBA macros, and SQL queries instantly.

An open-source JavaScript graphing library for creating interactive data visualizations.

All-in-one business dashboards to monitor and visualize your business in real-time.

The open-source standard for interactive computing, data science, and scientific research.