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Reamaze VS NumPy

Compare Reamaze VS NumPy and see what are their differences

Reamaze logo Reamaze

Helpdesk, live chat, and customer messaging platform designed to help your online business amaze customers.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • 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

  • NumPy Landing page
    Landing page //
    2023-05-13

Reamaze

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

Reamaze videos

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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

Category Popularity

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

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

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Reamaze. While we know about 107 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.

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

NumPy mentions (107)

  • 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 / 2 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 / 5 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
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
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What are some alternatives?

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

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

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

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

LiveAgent - LiveAgent is a fully-featured web-based live chat and help desk software. It harnesses the power of a universal inbox, real-time live chat, built-in call center, and a robust customer service portal. Start your free 1 month trial today!

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