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Ekho VS NumXL

Compare Ekho VS NumXL and see what are their differences

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Ekho logo Ekho

Ekho is a data product development company.

NumXL logo NumXL

NumXL is a Microsoft Excel time series software add-in.
Not present
  • NumXL Landing page
    Landing page //
    2022-07-15

Ekho videos

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NumXL videos

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NumXL 1.63 Overview

More videos:

  • Review - NumXL 1.5 Quick Intro
  • Review - NumXL - Quick Intro

Category Popularity

0-100% (relative to Ekho and NumXL)

Ekho

NumXL

Reporting Platform
100 100%
Reporting Platform
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
20 20%
Data Dashboard
80% 80
eCommerce Tools
100 100%
eCommerce Tools
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Ekho and NumXL

Ekho Reviews

We have no reviews of Ekho yet.
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NumXL Reviews

Top 10 Free Statistical Analysis Software 2023
1. NumXL offers a full set of time series analysis tools for evaluating and forecasting time-dependent data, including descriptive statistics, autocorrelation analysis, spectrum analysis, ARIMA modeling, GARCH modeling, and more.
Source: fellowshipbard.com

What are some alternatives?

When comparing Ekho and NumXL, you can also consider the following products

9Lenses - Digital client engagement platform

Base SAS - Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.

Bot Analytics - Bot Analytics is a conversational analytics tool that helps chatbot owners to improve human-to-bot communication. Identify bottlenecks, filter conversations, and understand engagement.

EViews - EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series...

Hull - The engagement layer for the internet. Hull is a platform that offers identity management, user engagement, segmentation and targeted messaging for your app.

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

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