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NumPy VS Reamaze

Compare NumPy VS Reamaze and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Reamaze logo Reamaze

Helpdesk, live chat, and customer messaging platform designed to help your online business amaze customers.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Reamaze Landing page
    Landing page //
    2023-09-21

Re:amaze is a complete customer service and helpdesk platform with all the tools you need to efficiently manage and deliver awesome experiences. Thousands of brands around the world use Re:amaze to help customers on a daily basis using our email, social media, live chat, SMS, VOIP, and FAQ knowledge base features.

With over 800 5-star reviews on Google, G2 Crowd, Alternative-To, Capterra, Crozdesk, Shopify, and BigCommerce, Re:amaze is the winner of G2 Crowd’s Top Performer, Leadership, and Best Experience Awards 3 years running and named as one of the fastest growing SaaS companies in the United States by Latka 100 in 2018.

Re:amaze

Reamaze

$ Details
paid Free Trial $20.0 / Monthly
Platforms
Browser Windows Web Mac OSX Linux
Release Date
2012 September

NumPy videos

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

Reamaze videos

No Reamaze videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to NumPy and Reamaze)
Data Science And Machine Learning
Customer Support
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Help Desk
0 0%
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 Reamaze

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.
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

Reamaze Reviews

The 20 Best Help Desk Apps and Knowledge Base Tools for Customer Support
Email doesn't have to be the quickest way for your customers to get their problems solved—Reamaze can help them get answers right inside your app. Build your help docs in Reamaze, then embed them into your website or app, right along with Reamaze's chat widget. Whenever your customer gets in touch, you can see their account inside your app, and know exactly what they've...
Source: zapier.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Reamaze. While we know about 111 links to NumPy, we've tracked only 1 mention of Reamaze. 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 (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 / about 3 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 5 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 / 7 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

Reamaze mentions (1)

  • Ask HN: Who wants to be hired? (May 2021)
    ABOUT: Full-Stack Software Engineer with 9 years of experience working with companies like Shogun (https://getshogun.com) (YCombinator W18), Re:amaze (https://reamaze.com) (Acq. By GoDaddy), Gametime (https://gametime.co), DigitalClipboard (https://digitalclipboard.com), Ministry of Health of Georgia. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing NumPy and Reamaze, 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.

Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community

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

Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.

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

HelpScout - Help Scout is a simple, straightforward way to provide excellent support