Kanaries

Main Tools & Features

Runcell.dev AI Code Agent in Jupyter Notebook. It can understand code and data in the notebook and help with analysis. Features: Fully Automatic Code Agent, Inline Code Completion for Jupyter Notebook, Next step suggestion by AI.

PyGWalker Turn pandas DataFrame into an interactive visual analytics app with one line of code. Perfect for Jupyter notebooks and data exploration. Features: One-line integration with pandas DataFrames, Interactive drag-and-drop visualization, Export and share visualizations.

Graphic Walker Desktop Desktop data visualization editor with instant data exploration and EDA. A focused experience for building visualizations. Features: Native desktop application for macOS and Windows, High-performance data processing, Offline data analysis capabilities.

Graphic Walker Component Embeddable, interactive visual analytics component for web applications. Build custom BI tools with ease. Features: Easy integration into React/Vue/Angular apps, Drag-and-drop interface for end users, AI-powered data exploration with chat.

GWalkR Interactive data visualization app in RStudio. Turn R data frames into interactive exploration tools with one line of code. Features: Seamless integration with RStudio, Interactive charts in R Markdown, High-performance kernel computation.

Core Advantages & Collaboration

On Flight Data Exploration: Visualize and explore data with simple drag-and-drop operations, on the fly. VizChat: Chat with AI to get insights from data. Ask questions and get answers in natural language. Share charts with your data: Share data and charts with the team. Collaborate to make better decisions.

Target Users

Data scientists, data analysts, Python/R developers, BI engineers, and teams/enterprises needing data exploration, visualization, and collaboration.

Pricing Model

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