Handsontable vs NumPy vs Pandas

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Handsontable

36
50
+ 1
6
NumPy

805
581
+ 1
6
Pandas

1.1K
917
+ 1
19
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Pros of Handsontable
Pros of NumPy
Pros of Pandas
  • 5
    Excel in browser
  • 1
    Open Source Edition
  • 6
    Great for data analysis
  • 18
    Easy data frame management
  • 1
    Extensive file format compatibility

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What is Handsontable?

Handsontable is a minimalist approach to Excel-like table editor (datagrid/data grid) in HTML & JavaScript.

What is NumPy?

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

What is Pandas?

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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Jobs that mention Handsontable, NumPy, and Pandas as a desired skillset
What companies use Handsontable?
What companies use NumPy?
What companies use Pandas?

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What tools integrate with Handsontable?
What tools integrate with NumPy?
What tools integrate with Pandas?
    No integrations found

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    What are some alternatives to Handsontable, NumPy, and Pandas?
    DataTables
    It is a highly flexible tool, built upon the foundations of progressive enhancement, that adds all of these advanced features to any HTML table.
    jExcel
    It is a very light, totally free, jquery plugin to embed a spreadsheet compatible with Excel in your website or application. You can create a excel-like table from a JS array, json or even a CSV file. You can use your copy and paste shortcuts to move data from excel straight to your jExcel spreadsheet and vice versa. You can easily integrate third party jquery plugins to create your own custom colums, custom editors, and customize new features to your clients.
    See all alternatives
    How developers use Handsontable, NumPy, and Pandas
    Vital Labs, Inc. uses
    NumPy

    We utilize NumPy, SciPy, Pandas, and iPython Notebooks to power our analysis and analytics tools.

    Morris Clay uses
    Pandas

    Data wrangling, analysis and pre-processing

    GadgetSteve uses
    Pandas

    Great data manipulation tool

    GadgetSteve uses
    NumPy

    Fast Numeric Processing

    Nough You uses
    NumPy

    Fast array operations.

    BobStein uses
    NumPy

    big data analysis

    Andrea Catalucci uses
    NumPy

    Number crunching