Software Alternatives, Accelerators & Startups

Pandas VS Reamaze

Compare Pandas VS Reamaze and see what are their differences

Pandas logo Pandas

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

Reamaze logo Reamaze

Helpdesk, live chat, and customer messaging platform designed to help your online business amaze customers.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • 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

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

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 Pandas 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 Pandas and Reamaze

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.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, Pandas seems to be a lot more popular than Reamaze. While we know about 201 links to Pandas, 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.

Pandas mentions (201)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 4 days ago
  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 10 days ago
  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 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 Pandas and Reamaze, you can also consider the following products

NumPy - NumPy is the fundamental package for scientific computing with 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

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

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

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

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