Comprehensive 互動式圖表 Tools for Every Need

Get access to 互動式圖表 solutions that address multiple requirements. One-stop resources for streamlined workflows.

互動式圖表

  • Graphy helps create beautiful, actionable graphs quickly, simplifying data presentation and storytelling.
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    What is Graphy for Data Storytelling?
    Graphy is a user-friendly platform designed to help individuals and teams create professional-level graphs with ease. The tool simplifies the process of data visualization, allowing users to generate actionable insights from their data. Graphy's intuitive interface and powerful features, such as AI-generated insights, customizable designs, and real-time collaboration, make it an indispensable tool for anyone needing to present data effectively. Whether for presentations, reports, or internal decision-making, Graphy ensures your data is communicated clearly and compellingly.
    Graphy for Data Storytelling Core Features
    • AI-Generated Insights
    • Customizable Designs
    • Real-Time Collaboration
    • Easy Data Import
    • Multiple Chart Types
    Graphy for Data Storytelling Pro & Cons

    The Cons

    No open-source availability limiting customization and community contribution.
    No explicit mentions of mobile apps or extensions restricting use to web platform only.
    Potential reliance on AI-generated insights could pose limitations if data context is complex.

    The Pros

    Simplifies complex data visualization with AI assistance to create charts and explain insights.
    Highly intuitive and user-friendly interface requiring no steep learning curve.
    Supports collaboration and sharing across popular platforms to align teams and stakeholders.
    Faster graph creation reportedly 80% quicker than competitor tools.
    Produces beautiful and interactive visuals that enhance data storytelling.
    Graphy for Data Storytelling Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Free

    0 USD
    • Free for everyone
    • 5 charts
    • share anywhere
    • limited AI use

    Plus

    12 USD
    • Everything in Free, plus
    • brand colors
    • remove watermark
    • unlimited charts
    • unlimited AI features

    Business

    • Everything in Plus, plus
    • dedicated support
    • enhanced privacy controls
    Discount:-40%
    For the latest prices, please visit: https://graphy.app/pricing
  • LuminAI Data Analyst automates data loading, statistical analysis, visualization and generates actionable insights from your datasets.
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    What is LuminAI Data Analyst?
    LuminAI Data Analyst is a Python-based AI assistant tailored for data exploration and reporting. Built on OpenAI GPT and LangChain, it seamlessly ingests structured data files (CSV, XLSX, JSON), performs automated cleaning, computes descriptive statistics, and visualizes key metrics with Matplotlib or Plotly. Users interact via command-line or API, posing questions in plain English to generate customized charts, summary tables, and narrative insights. The agent can export results as PDF or HTML reports and integrate with BI tools. It streamlines repetitive analysis tasks, turning raw datasets into actionable recommendations and saving time for analysts, developers, and business stakeholders. Advanced users can extend its modules or customize prompt templates for domain-specific workflows.
  • CodeAtlas provides a visual dependency graph for developers to understand code structure and relationships.
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    What is Atlas?
    CodeAtlas is a tool designed to visualize code dependencies and structures in an interactive and dynamic map. It allows developers to gain insights into code relationships and hierarchies, which can facilitate better maintenance and refactoring efforts. By representing code in a visual graph, CodeAtlas makes it easier to navigate complex codebases, identify areas that require optimization, and enhance overall code understanding. It is particularly useful for large projects where understanding the interdependencies between different modules and components can be challenging.
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