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herramientas de datos amigables

  • An open data platform that harnesses the power of AI for data and digital health transformation.
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    What is Constellab?
    Constellab™ is an all-in-one open data platform designed to democratize data accessibility and utilization. It leverages AI to transform data into actionable insights, speeding up innovation in digital health, life sciences, agronomy, nutrition, and environmental industries. The platform provides tailored data labs and collaborative spaces, ensuring a user-friendly and secure data experience. Its goal is to enhance productivity and support the digital transformation of businesses by connecting data, AI, scientists, and the public.
    Constellab Core Features
    • Open-source platform
    • AI and data analytics integration
    • Tailored data labs and project spaces
    • Collaborative tools
    • Secure data management
    • User-friendly interface
    Constellab Pro & Cons

    The Cons

    No publicly available GitHub repository indicating openness or community involvement
    No direct links to mobile or browser app stores limiting accessibility
    Pricing details are limited to a dedicated pricing page without detailed breakdowns visible
    Limited information on potential drawbacks or limitations of the platform

    The Pros

    Specialized for digital transformation in biotech and health sectors
    Supports collaborative, user-friendly apps for enhanced productivity
    Ensures data security and reproducibility across multiple deployment environments
    Offers a sustainable and low-carbon computing approach
    Aims to deliver significant improvements in speed and ROI for projects
    Constellab Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    FREE

    0 EUR
    • Dedicated Project Space per User
    • 1 GB of Project Data Included
    • Additional Storage Available for €0.00075/GB/h
    • Possibility to Share Projects with Other Users
    • One Data Lab Included (+ €25 in Free Credits/Month)
    • Data Analysis, Data flow management, Dashboard Creation, and Report Generation
    • Open-Source and Private Code Development
    • Earning Credits from Your Open-Source Contributions
    • Online Documentation (Constellab Community)

    MINI

    9 EUR
    • 5 GB of Project Data Included
    • 1 Collaborative Space with Teams
    • Online Documentation and Customer Success Support by Email

    PRO

    49 EUR
    • 10 GB of Project Data Included
    • Unlimited Collaborative Spaces for Organization, Partners, Clients
    • Online Documentation and Customer Success Support by Phone

    ACADEMIC

    19 EUR
    • All PRO features
    • €100 Starting Credits with Annual Subscription
    For the latest prices, please visit: https://constellab.io
  • AI-powered tool for quick and easy dashboard building.
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    What is HogwartsAI?
    HogwartsAI is an innovative platform designed to revolutionize dashboard creation. By leveraging advanced AI technology, it enables users to generate dashboards up to 10 times faster compared to traditional methods. Users can transform plain text inputs into sophisticated and visually appealing data dashboards without requiring any SQL or advanced data analysis skills. This makes it an ideal tool for both experienced data analysts and those new to the field, simplifying data visualization and integration processes.
  • Streamline your data management with Secoda's AI-powered platform.
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    What is Secoda?
    Secoda offers an advanced data catalog, governance, and observability features that automate tracking and documenting data lineage. With Secoda, users can effortlessly manage their data across popular BI and data warehouse tools like Looker, Tableau, and more. This powerful platform significantly improves data discovery, facilitating better business intelligence analyses and decisions. Explore a user-friendly interface that integrates seamlessly with existing data workflows, saving your organization both time and resources in data management processes.
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