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NumXL VS Tibco Data Science

Compare NumXL VS Tibco Data Science and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

NumXL logo NumXL

NumXL is a Microsoft Excel time series software add-in.

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
  • NumXL Landing page
    Landing page //
    2022-07-15
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

NumXL videos

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NumXL 1.63 Overview

More videos:

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

Tibco Data Science videos

No Tibco Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to NumXL and Tibco Data Science)

NumXL

Tibco Data Science

Technical Computing
44 44%
Technical Computing
56% 56
Data Dashboard
65 65%
Data Dashboard
35% 35
Business & Commerce
33 33%
Business & Commerce
67% 67
Development
0 0%
Development
100% 100

User comments

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Reviews

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

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

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
Source: www.datamation.com
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...
Source: solutionsreview.com

What are some alternatives?

When comparing NumXL and Tibco Data Science, you can also consider the following products

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

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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