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Top 9 Data Science Tools in Development

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

Pandas Jupyter SigOpt Sense Platform Amazon SageMaker Matplotlib SciPy Saturn Cloud KNIME

Summary

The top products on this list are Pandas, Jupyter, and SigOpt. All products here are categorized as: Tools and platforms for data analysis and scientific computation. Tools and environments used for software and application development. 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
    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 201 social mentions

  2. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

    #Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 206 social mentions

  3. 3
    Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

    #Data Science And Machine Learning #Data Science Tools #Python Tools

  4. NOTE: Sense Platform has been discontinued.
    A Cloud Platform for Data Science and Big Data Analytics

    #Data Science #Data Science And Machine Learning #Science Tools

  5. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

    #Data Science And Machine Learning #Data Science Tools #Office & Productivity 37 social mentions

  6. matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
    Pricing:
    • Open Source

    #Data Visualization #Javascript UI Libraries #Technical Computing 101 social mentions

  7. 7
    SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Python Tools #Software Libraries 16 social mentions

  8. ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

    #Data Science And Machine Learning #Data Science Tools #Machine Learning Tools 6 social mentions

  9. 9
    KNIME, the open platform for your data.

    #Business & Commerce #Data Science And Machine Learning #Development 2 social mentions

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