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трансформация данных

  • Your go-to platform for data visualization, transformation, and analysis.
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    What is DataNuts?
    DataNuts is designed to offer users an intuitive and powerful platform for data visualization, transformation, and analysis. With a set of strong features, it helps users create meaningful visualizations, transform data into useful formats, and perform in-depth analyses, all within a user-friendly interface. Whether you're a data scientist, business analyst, or developer, DataNuts enables you to quickly derive insights from complex datasets, streamline workflows, and drive data-informed decisions.
  • AI-powered platform for data teams to transform and visualize data.
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    What is Tabula?
    Tabula is a comprehensive AI-powered platform engineered for business and data teams. It allows users to aggregate, transform, and visualize data seamlessly. Offering no-code self-service analytics, Tabula empowers teams to build entire analytics workflows directly within the data warehouse, eliminating the need for extensive coding skills. Users can create intuitive dashboards and reports, facilitating data-driven decision-making processes. Its AI capabilities enhance data accuracy and insights, making it an all-in-one solution for modern businesses.
  • agent-steps is a Python framework enabling developers to design, orchestrate, and execute multi-step AI agents with reusable components.
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    What is agent-steps?
    agent-steps is a Python step orchestration framework designed to streamline the development of AI agents by breaking complex tasks into discrete, reusable steps. Each step encapsulates a specific action—such as invoking a language model, performing data transformations, or external API calls—and can pass context to subsequent steps. The library supports synchronous and asynchronous execution, enabling scalable pipelines. Built-in logging and debugging utilities provide transparency into step execution, while its modular architecture promotes maintainability. Users can define custom step types, chain them into workflows, and integrate them easily into existing Python applications. agent-steps is suitable for building chatbots, automated data pipelines, decision support systems, and other multi-step AI-driven solutions.
  • DigiParser is an AI agent that automates data extraction and processing from documents.
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    What is DigiParser?
    DigiParser is an advanced AI agent designed for automating the extraction and processing of data from multiple document formats. It utilizes machine learning algorithms to identify and retrieve relevant information swiftly, enabling businesses to streamline their data workflows. By providing tools for data transformation and analysis, DigiParser supports organizations in making informed decisions based on accurate data insights, ultimately saving time and reducing manual effort.
  • Transform websites into structured data with ScrapeGraphAI.
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    What is ScrapeGraphAI?
    ScrapeGraphAI is a powerful API designed to transform any website into clean, organized data. It integrates seamlessly with AI agents, enabling structured JSON output with natural language instructions. Specifically built for scalable and reliable data collection, it's adaptable to website changes and supports various use cases including e-commerce, social media, and dynamic web apps. The setup is lightning-fast and requires no complex configuration, making it accessible for both enterprises and startups.
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