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Top 9 Data Science Tools in Libraries

The best Data Science Tools within the Libraries category - based on our collection of reviews & verified products.

SciPy Hex i-DOCS Einblick.ai Kern AI refinery PySpark Dask

Summary

The top products on this list are SciPy, Hex, and i-DOCS. All products here are categorized as: Tools and platforms for data analysis and scientific computation. Libraries. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 1
    SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.ย 
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Technical Computing #Development 17 social mentions

  2. 2

    Hex

    Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.

    #Data Science And Machine Learning #Data Science Tools #Application And Data 9 social mentions

  3. 3
    Get the latest Microsoft documentation for end users, developers and IT professionals: API reference, code examples, technical documentation, and more.

    #Medical Practice Management #Practice Management #Data Science Tools 32 social mentions

  4. Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps.

    #Data Dashboard #Data Extraction #Data Science And Machine Learning 1 social mentions

  5. Application and Data, Libraries, and Maven Packages

    #Data Science Tools #Application And Data #Libraries

  6. Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Photos & Graphics #Data Science Tools

  7. Algorithms arenโ€™t the bottlenecks. Itโ€™s data. Develop data to get better quality in shorter time with refinery. Build your AI training data in hours, not months.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #AI #Technical Computing 1 social mentions

  8. PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

    #Project Management #Big Data #Databases

  9. 9
    Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
    Pricing:
    • Open Source

    #Big Data #Databases #Workflow Automation 16 social mentions

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