Software Alternatives & Reviews

Microsoft Office Excel VS Datapane

Compare Microsoft Office Excel VS Datapane and see what are their differences

Microsoft Office Excel logo Microsoft Office Excel

Microsoft Office Excel is a commercial spreadsheet application.

Datapane logo Datapane

Datapane is an API-first platform for building reporting and BI tools using Python.
  • Microsoft Office Excel Landing page
    Landing page //
    2023-04-21
  • Datapane Landing page
    Landing page //
    2023-09-10

Microsoft Office Excel videos

Michael Net Worth

More videos:

  • Tutorial - How to use review tab(Microsoft Excel part-6)
  • Tutorial - How To Pass Microsoft Excel Test - Get ready for the Interview
  • Review - Microsoft Excel Review Tab All Option,Ms Excel के review Tab को जानिए हिंदी में,Ms excel Review Tab!

Datapane videos

Datapane Quick Overview

Category Popularity

0-100% (relative to Microsoft Office Excel and Datapane)
Spreadsheets
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Project Management
100 100%
0% 0
Data Dashboard
73 73%
27% 27

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft Office Excel and Datapane

Microsoft Office Excel Reviews

  1. Unleashing the Potential with Microsoft Office Excel

    A software program created by Microsoft that uses spreadsheets to organize numbers and data with formulas and functions. It is one of the best software for daily use Microsoft Office Excel has been an absolute game-changer for me in the realm of spreadsheet applications. Whether it's managing data, creating intricate formulas, or visualizing trends, Excel stands out as a powerhouse of functionality and efficiency.

    👍 Pros:    Database management
    👎 Cons:    Learning curve
  2. Everyone loves to hate it, but it's the best!

    What would we do without Excel!? Sure, the online version isn't as simple as Google Sheets, they could have chosen not to localise the function names, and it's always chaos trying to consolidate multiple budget or forecast files & templates, but aside from that it's everyone's favourite spreadsheet. What you can't do in Excel isn't worth doing. Even if there's often a better way...

  3. Reliable Software

    It is one of the best software for daily purpose.


Top 10 Data Analysis Tools in 2022
Microsoft Excel Microsoft Excel allows the direct addition of analog data from a picture to a fully editable format in Excel. Microsoft 365 Business Basic subscription costs $6/user/month. Microsoft Excel is a very efficient tool for small businesses in processing and conducting calculations on data. However, Excel is relatively old, which means limited features in terms of...

Datapane Reviews

We have no reviews of Datapane yet.
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Social recommendations and mentions

Based on our record, Datapane seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Office Excel mentions (0)

We have not tracked any mentions of Microsoft Office Excel yet. Tracking of Microsoft Office Excel recommendations started around Mar 2021.

Datapane mentions (8)

  • How do you guys share R/Python based analyses to business stakeholders?
    PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution that's easy to share. Source: over 1 year ago
  • how do i convince data scientists to actually use my power bi dashboards?
    If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: almost 2 years ago
  • Ask HN: Who is hiring? (April 2022)
    Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for non-technical end-users. We are backed by some of the top investors in the world, and have grown to be the most popular way to create and share data science reports. We are proud to put the... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (January 2022)
    Datapane | https://datapane.com | Remote (Europe) Happy New Year! Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month. We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing... - Source: Hacker News / over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Datapane - API for building interactive reports in Python and deploying Python scripts and Jupyter Notebooks as self-service tools. - Source: dev.to / almost 3 years ago
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What are some alternatives?

When comparing Microsoft Office Excel and Datapane, you can also consider the following products

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

ActionDesk - Build powerful automations with just your spreadsheet skills

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

ReportServer - In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.

Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.

Combit - Reporting tool for software developers to integrate reporting functions in desktop, web and cloud applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. Supports a variety of data sources.