Software Alternatives, Accelerators & Startups

Appizy VS DataNitro

Compare Appizy VS DataNitro and see what are their differences

Appizy logo Appizy

Convert spreadsheet to web application

DataNitro logo DataNitro

DataNitro enables users to automate Excel with Python and also to turn a spreadsheet into a database GUI - or a web server backend.
  • Appizy Landing page
    Landing page //
    2019-09-18

Turn your spreadsheet into an interactive web application without developer skills. Embed your interactive form into any type of website.

  • DataNitro Landing page
    Landing page //
    2019-08-11

Appizy

Website
appizy.com
$ Details
paid Free Trial $5.0 / Monthly (BASIC plan billed yearly.)
Platforms
Browser Web
Release Date
2011 October

DataNitro

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Appizy features and specs

  • Responsive layout: yes

DataNitro features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Appizy and DataNitro)
Spreadsheets
84 84%
16% 16
Spreadsheets As A Backend
Office Suites
100 100%
0% 0
Google Sheets
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Appizy and DataNitro, you can also consider the following products

Publisheet - Publish your Excel sheets to the web as dynamic web applications with formula support.

X-Author - X-Author turns excel into a complete User Interface for Salesforce and Microsoft Dynamics CRM.

SpreadsheetConverter.com - Use online spreadsheets, smart forms and beautiful charts in your blog or website. Put your booking and order forms online. Show live charts. Change any cell and the online spreadsheet or live chart immediately updates itself.

Vim Python IDE - Python development config with asynchronous Vim Plugins

SpreadsheetWEB - SpreadsheetWEB is a no-code platform that helps businesses translate their collective Microsoft Excel expertise into robust web applications with limited or no reliance on IT resources.

SQL Spreads - SQL Spreads is an Excel Add-In to easily manage and update SQL Server tables from Excel.