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NumPy VS Vizzlo

Compare NumPy VS Vizzlo and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Vizzlo logo Vizzlo

Create high-quality charts and business graphics easily online, in PowerPoint, or Google Slides.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Vizzlo Landing page
    Landing page //
    2021-11-20

Vizzlo is a chart maker that offers a portfolio of 100+ chart types. Vizzlo makes it easy creating sophisticated project management visuals such as Gantt chart, Timelines and Waterfall chart. In addition, Vizzlo offers data visualizations such as Bar charts, Bubble charts, Marimekko charts and many more. All visualizations support Excel and CSV files, as well as links to Google Sheets.

Besides the cloud application, Vizzlo offers add-ins for PowerPoint and Google Slides, and platform-agnostic desktop apps for Mac and Windows. Cloud storage provider that Vizzlo supports are Box, Dropbox, Google Drive and OneDrive.

NumPy

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

Vizzlo

Website
vizzlo.com
Pricing URL
Official Vizzlo Pricing
$ Details
freemium $11.0 / Annually (Professional)
Platforms
Windows Mac OSX Linux Browser Safari Google Chrome Firefox Cloud Internet Explorer
Release Date
2015 March
Edit details

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Vizzlo features and specs

  • API
  • Automation
  • Gantt Timeline
  • Cloud-based
  • Data Import/Export
  • Data Synchronization
  • Email notifications
  • Charts
  • Team Collaboration
  • Free to use
  • Free Trial
  • GDPR Compliant
  • Help Centre
  • Integrations

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

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

Vizzlo videos

+ Add

Vizzlo for Google Slidesโ„ข๏ธ

More videos:

  • Review - Vizzlo loves PowerPoint: How awesome is your presentation?
  • Review - Webinar: How Visual Communication Closes more Business | by Xara & Vizzlo

Category Popularity

0-100% (relative to NumPy and Vizzlo)

NumPy

Vizzlo

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Business Intelligence
0 0%
Business Intelligence
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 NumPy and Vizzlo

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

Vizzlo Reviews

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

Based on our record, NumPy seems to be more popular. It has been mentiond 122 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.

NumPy mentions (122)

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Vizzlo mentions (0)

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

What are some alternatives?

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

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

Datamatic.io - Datamatic - WordPress for data visualizations

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

Tableau Public - Your data has a story. Share it with the world.

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

KiniMetrix - Our approach blends proprietary metrics and frameworks, smart Business Intelligence software...

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