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Flourish VS NumPy

Compare Flourish VS NumPy and see what are their differences

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

Flourish logo Flourish

Powerful, beautiful, easy data visualisation

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Flourish Landing page
    Landing page //
    2023-07-11
  • NumPy Landing page
    Landing page //
    2023-05-13

Flourish videos

+ Add

Seachem Flourish review | Does Flourish work?

More videos:

  • Review - Seachem Flourish Review
  • Review - Seachem Flourish Root Tabs Review Guide

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 Flourish and NumPy)

Flourish

NumPy

Data Dashboard
65 65%
Data Dashboard
35% 35
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Visualization
100 100%
Data Visualization
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Flourish 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 Flourish and NumPy

Flourish Reviews

The Best Data Visualization Tools - Top 30 BI Software
Flourish offers a solid range of standard charts, with some extra animation on loading plus useful interactivity. There’s some excellent built-in color ranges, along with the option to create your own as well. Where Flourish really stands out is that it offers some charts you’re unlikely to find elsewhere that can be created so easily. The ability to sort and compare by...
Source: improvado.io

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 should be more popular than Flourish. It has been mentiond 111 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.

Flourish mentions (46)

  • Racing Bar Graph - Top 20 Artists
    I have a racing bar graph of my top 20 artists from Jan 2020 to present. I got an account 12/16/19 but like to start my data at 1/1/20 because it's more of an even date (idk). Anyways I use flourish.studio and update it monthly and it's super fun to see my data move over time. Source: 9 months ago
  • Tool to draw Infra diagrams
    Go with https://flourish.studio/ they are easy to feed and tons of option. Source: 12 months ago
  • I've made a news site built on prediction markets
    Building charts showing the market trends over time (currently use Flourish.studio) This is the most painful, time-consuming part of the process as I'm currently inputting data manually. If I raise funds, the first thing I will do is automate. Source: about 1 year ago
  • Tool for graphic designers to create beautifull charts
    Maybe have a look at https://flourish.studio/ as they might be a potential competitor! Source: about 1 year ago
  • Last.FM needs a "live bar-chart race" feature
    I think you can make yourself a one by using this website. Source: about 1 year ago
View more

NumPy mentions (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 3 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 8 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 10 days ago
  • 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
View more

What are some alternatives?

When comparing Flourish 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.

Visualoop - Dribbble for infographic & data visualization artists

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

The Data Visualisation Catalogue - Reference tool for data visualisation

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

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