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SSuite Axcel Professional Spreadsheet VS Ploomber

Compare SSuite Axcel Professional Spreadsheet VS Ploomber and see what are their differences

SSuite Axcel Professional Spreadsheet logo SSuite Axcel Professional Spreadsheet

This powerful and professional spreadsheet has all the tools you need to calculate, analyse, summarize, and present your data in numerical reports or colourful graphics.

Ploomber logo Ploomber

Ploomber is an open-source framework that helps data scientists quickly deploy the code they develop in interactive environments (Jupyter, VScode, PyCharm, etc.), eliminating the need for time-consuming manual porting to production platforms.
  • SSuite Axcel Professional Spreadsheet Landing page
    Landing page //
    2018-09-29

This powerful and professional spreadsheet has all the tools you need to calculate, analyse, summarize, and present your data in numerical reports or colourful graphics. A fully-integrated help system makes entering complex formulas a breeze. Pull in external data using ODBC, sort it, and produce subtotals and statistical analyses.

Use the chart wizard to select from eight or more categories of 2-D and 3-D charts including line, area, column, pie, XY, stock and with dozens of variants. Whether you are producing financial reports or managing personal expenses, SSuite Axcel gives you more efficiency and flexibility to accomplish your goals. SSuite Axcel Professional also has ODBC connectivity to query any database through a custom SQL query dialog window.

With a few mouse-clicks, you can reorganize your spreadsheet to show or hide certain data ranges, or to format ranges according to special conditions, or to quickly calculate subtotals and totals. SSuite Axcel lets you present spreadsheet data in dynamic charts that update automatically when the data changes.

Minimum System Requirements:

  • 1366 x 768 Display Size
  • Windows 2000 / XP / 7 / 8 / 10 - 32 Bit and 64 Bit

Now also includes an online edition - (PWA Enabled): - https://carbonplus.ssuiteoffice.com/

Installation Instructions: Before running any software applications, please read the "Read Me" document first!

  • Ploomber Landing page
    Landing page //
    2023-08-24

SSuite Axcel Professional Spreadsheet features and specs

  • SQL Queries: Yes
  • ODBC Connection: Yes
  • Easy to Set-up and use: Yes
  • Easy to use: Yes
  • Online Edition: Yes
  • Wide Screen Compatible: Minimum - 1366 x 768 Display
  • Quick Setup: Yes

Ploomber features and specs

No features have been listed yet.

SSuite Axcel Professional Spreadsheet videos

No SSuite Axcel Professional Spreadsheet videos yet. You could help us improve this page by suggesting one.

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Ploomber videos

Open-Source Spotlight - Ploomber - Eduardo Blancas

More videos:

  • Review - EDUARDO BLANCAS - Ploomber: Open-Source Tools for Maintainable and Production-Ready Data Science
  • Review - Ploomber: Developing Maintainable & Reproducible Data- Eduardo Blancas, Ido Michael | SciPy 2022

Category Popularity

0-100% (relative to SSuite Axcel Professional Spreadsheet and Ploomber)
Spreadsheets
100 100%
0% 0
AI
0 0%
100% 100
Office Suites
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Ploomber seems to be more popular. It has been mentiond 7 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.

SSuite Axcel Professional Spreadsheet mentions (0)

We have not tracked any mentions of SSuite Axcel Professional Spreadsheet yet. Tracking of SSuite Axcel Professional Spreadsheet recommendations started around Mar 2021.

Ploomber mentions (7)

  • Show HN: JupySQL – a SQL client for Jupyter (ipython-SQL successor)
    - One-click sharing powered by Ploomber Cloud: https://ploomber.io Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README). We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments! - Source: Hacker News / 6 months ago
  • A three-part series on deploying a Data Science Platform on AWS
    Developing end-to-end data science infrastructure can get complex. For example, many of us might have struggled to try to integrate AWS services and deal with configuration, permissions, etc. At Ploomber, we’ve worked with many companies in a wide range of industries, such as energy, entertainment, computational chemistry, and genomics, so we are constantly looking for simple solutions to get them started with... Source: over 1 year ago
  • Is Colab still the place to go?
    If you like working locally with notebooks, you can run via the free tier of ploomber, that'll allow you to get the Ram/Compute you need for the bigger models as part of the free tier. Also, it has the historical executions so you don't need to remember what you executed an hour later! Source: over 1 year ago
  • Saving log files
    That's what we do for lineage with https://ploomber.io/. Source: over 1 year ago
  • Three Tools for Executing Jupyter Notebooks
    NBClient supports running notebooks via CLI for the most basic use cases. However, for more sophisticated execution options, consider the Ploomber! - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing SSuite Axcel Professional Spreadsheet and Ploomber, you can also consider the following products

Aspose.Cells for Cloud - Aspose.Cells for Cloud is a REST based API for processing spreadsheets in the cloud.

Conduit - Your data-driven AI chief of staff

EtherCalc - EtherCalc is a web spreadsheet.

StorPool - StorPool is designed from the ground up to provide cloud builders, shared hosting providers and MSPs with the most resource efficient storage software on the market.

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset