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Top 9 Front End Package Manager Products in Data Science And Machine Learning

The best Front End Package Manager Products within the Data Science And Machine Learning category - based on our collection of reviews & verified products.

Python Poetry pipenv Anaconda nteract 3V4L Hydrogen of nteract

Summary

The top products on this list are Python Poetry, pip, and pipenv. All products here are categorized as: Tools for managing and installing packages in front-end web development. Platforms and tools for data analysis, scientific research, and machine learning applications. 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. Python packaging and dependency manager.
    Pricing:
    • Open Source

    #Developer Tools #Front End Package Manager #Kids 167 social mentions

  2. 2

    pip

    The PyPA recommended tool for installing Python packages.

    #Front End Package Manager #Kids #Package Manager 20 social mentions

  3. 3
    Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.

    #Developer Tools #Front End Package Manager #Kids 6 social mentions

  4. Anaconda is the leading open data science platform powered by Python.

    #Finance #Python IDE #Tool

  5. nteract is a desktop application that allows you to develop rich documents that contain prose...
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science IDE #Data Science Notebooks 4 social mentions

  6. Pylint is a Python source code analyzer which looks for programming errors.

    #Code Review #Code Coverage #Code Quality 13 social mentions

  7. 7
    3V4L is the best online PHP shell that you can use to write the PHP code and test it online.

    #Automated Testing #Developer Tools #Online Services 12 social mentions

  8. NOTE: Nala.run has been discontinued.
    Your personal email assistant

    #Productivity #Email #Appointments and Scheduling

  9. Run code interactively, inspect data, and plot.

    #Data Science And Machine Learning #Data Science Notebooks #Technical Computing 3 social mentions

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