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Zoho Analytics VS NumPy

Compare Zoho Analytics VS NumPy and see what are their differences

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Embedded Analytics built exclusively for SaaS applications. featured
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Zoho Analytics logo Zoho Analytics

Zoho Analytics is a self-service BI, reporting and analytics software which helps you create dashboards and analyze data. Sign up free.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Zoho Analytics Landing page
    Landing page //
    2023-10-11
  • NumPy Landing page
    Landing page //
    2023-05-13

Zoho Analytics

Website
zoho.com
Pricing URL
Official Zoho Analytics Pricing
$ Details
freemium $30.0 / Monthly (2 Users, 0.5 Million Rows)
Platforms
Web Browser Android iOS AWS Docker Azure Windows Linux
Edit details

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Platforms
-
Edit details

Zoho Analytics videos

+ Add

Create a dashboard in under two minutes with Zoho Analytics

More videos:

  • Review - Zoho Analytics - On Premises: Overview
  • Review - Zoho Analytics - Self-service BI and analytics software

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Zoho Analytics and NumPy)

Zoho Analytics

NumPy

Data Dashboard
63 63%
Data Dashboard
37% 37
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Zoho Analytics and NumPy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Zoho Analytics and NumPy

Zoho Analytics Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Zoho Analytics is a self-service BI and analytics software used by the likes of Hyundai, Ikea, HP, and Philips. Their freemium plan is a bit feature lite but you can add up to 2 users, input up to 10K rows/records, and access unlimited reports and dashboards. This is a pretty sturdy offering for free-to-use data analysis. Zoho Analytics comes with a library of pre-built...
Source: theqalead.com
25 Best Reporting Tools for 2022
Zoho Analytics is a SaaS-based Business Intelligence (BI) and Reporting tool that is best suited for non-tech-savvy people. It comes with an easy-to-use interface and powers the Reporting with Machine Learning, Artificial Intelligence, and NLP for augmented analytics. Moreover, Zoho Analytics offers 500+ the box integration that allows companies to seamlessly integrate apps...
Source: hevodata.com
The Best Data Visualization Tools - Top 30 BI Software
Zoho Reports is an online reporting and business intelligence tool that helps you get new insights from your business data. It allows you to easily create and share powerful, ad hoc reports in minutes, with no IT help. Data can be imported from applications and databases, even behind firewalls.
Source: improvado.io
7 Free Project Management Software Options to Keep Your Team On-Track
Zoho Reports is easy to use and lets you create comprehensive dashboards and data visualizations to ensure your projects are on-track. You can import data from outside files, cloud drives, applications, and in-house apps, enabling you to create more accurate cross functional reports. (Zoho Reports is a HubSpot integration partner).
Source: blog.hubspot.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 108 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.

Zoho Analytics mentions (0)

We have not tracked any mentions of Zoho Analytics yet. Tracking of Zoho Analytics recommendations started around Mar 2021.

NumPy mentions (108)

  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
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What are some alternatives?

When comparing Zoho Analytics and NumPy, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

OpenCV - OpenCV is the world's biggest computer vision library

Chartio - Chartio is a powerful business intelligence tool that anyone can use.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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