Software Alternatives, Accelerators & Startups

LiveAgent VS NumPy

Compare LiveAgent VS NumPy and see what are their differences

LiveAgent logo 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!

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • LiveAgent Landing page
    Landing page //
    2023-10-12

LiveAgent is a fully-featured omnichannel help desk software that offers an all-in-one help desk solution for businesses of all sizes and types. LiveAgent's core strength is the ability to integrate multiple communication channels such as email, live chat, phone support, social media but also rarely integrated channels like WhatsApp, Instagram and Viber.

LiveAgent boasts the fastest live chat widget on the market and over 180+ additional features, including ticketing, automation, tags, a customer portal and more. LiveAgent's pricing plans are smart - they enable you to pay for only what you use. Save money and time with LiveAgent.

LiveAgent is used by over 15,000 businesses worldwide including Forbes, Yamaha, eSky and Huawei. It has served over 150M end-users worldwide. Join them in providing world-class customer service. Start your free 30-day trial now, no contracts or credit card required.

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

LiveAgent features and specs

  • Ticket management: Yes
  • Live Chat & In-App-Messaging: Yes
  • Email notifications: Yes
  • Email Templates: Yes
  • Emailing: Yes
  • Live Chat Support: Yes
  • Call Forward: Yes
  • Call Transfer: Yes
  • Call Analytics and Reporting: Yes
  • Attachment viewer: Yes
  • Spam filter: Yes
  • Help desk & requests management: Yes
  • Reports: Yes
  • Reporting: Yes
  • Reports & analytics: Yes
  • Knowledge Base: Yes
  • Knowledge Management: Yes
  • Customer Service: Yes
  • Customer Support: Yes
  • Customer Feedback Widget: Yes
  • Customer Management: Yes
  • Mobile Apps: Yes
  • White Labeling: Yes
  • Chat: Yes
  • Chat Support: Yes
  • Gamification: Yes
  • Social Media Integrations: Yes
  • Time Tracking: Yes
  • Email Management: Yes
  • IVR: Yes

NumPy features and specs

No features have been listed yet.

LiveAgent videos

LiveAgent Review - Unitied Inbox, Ticket Desk, Phone System, Live Chat, Video Chat & More

More videos:

  • Tutorial - LiveAgent Review & Tutorial (Including Twilio Setup) [AppSumo 2019]
  • Review - LiveAgent Review on AppSumo
  • Demo - Product Tour

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 LiveAgent 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

Questions and Answers

As answered by people managing LiveAgent and NumPy.

What makes your product unique?

LiveAgent's answer

LiveAgent stands out with its ultra-fast performance, robust ticketing system, and user-friendly interface. It is a scalable solution equipped with over 180+ features and 200+ integrations, capable of growing as your customer service needs expand.

Why should a person choose your product over its competitors?

LiveAgent's answer

LiveAgent offers 24/7 availability, an exceptional 20-second average response time, and extraordinary usability. Suitable for any type of business, its unbeatable value for money makes it a top choice for reliable and efficient customer service.

How would you describe your primary audience?

LiveAgent's answer

Our primary audience consists of businesses of all sizes seeking to enhance their customer service experience. This includes startups, SMEs, and large corporations across various industries.

What's the story behind your product?

LiveAgent's answer

Born out of the need for better customer interactions, LiveAgent was founded in 2004. Driven by the philosophy 'to treat customers as people, not tickets,' we've grown into a leading customer service solution.

Which are the primary technologies used for building your product?

LiveAgent's answer

As a cloud-based solution, LiveAgent employs cutting-edge technologies to ensure a fast, secure, and reliable customer service platform. Our intricate infrastructure guarantees optimal functionality and high performance at all times.

Who are some of the biggest customers of your product?

LiveAgent's answer

Renowned brands like Huawei, Yamaha, BMW, and Oxford University are proud users of LiveAgent, trusting us for world-class customer service.

User comments

Share your experience with using LiveAgent 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 LiveAgent and NumPy

LiveAgent Reviews

  1. Great Helpdesk solution

    Helped us to manage customer communications from one place. Easy to use and learn.

    ๐Ÿ Competitors: Zendesk, Freshdesk
    ๐Ÿ‘ Pros:    Easy to use|Easy integration|Automation and custom functions
    ๐Ÿ‘Ž Cons:    Nothing, so far

10 Best Freshdesk Alternatives for Businesses in 2024
LiveAgent is an excellent choice for live chat support. It provides best features that increases customer support online.
Top 11 Freshdesk Alternatives for 2024 (Ranked & Rated)
If chat widgets are your most wanted feature, LiveAgent is the live chat specialist. If you want more than a live chat bubble, LiveAgentโ€™s comparable plans offer familiar features.
Top 13 Freshdesk alternatives and competitors for 2024
LiveAgent is a help desk solution with customer communication and organizational tools, like live chat and a ticket management system. LiveAgent includes a multichannel interface with access to voice, chat, social media, SMS, and email support. Its ticketing system can automatically distribute tickets to agents based on predefined rules.
Source: www.zendesk.com
The 19 Best Call Center Software (& Features You Need) in 2022
LiveAgent's call center solution is built directly into their multi-channel help desk, so you can help customers over any channel you choose. One of the only tools on the list not to charge a per-minute usage fee, LiveAgent can be a cost-effective solution for small and medium-sized businesses that rely on phone support.
10 Best Call Center Software (December 2022)
LiveAgent offers a free forever plan, which makes it an ideal choice for solopreneurs who want to provide support on a budget. As with most free plans, LiveAgentโ€™s free option is limited, but you do get most omnichannel support for your call center, including voice, email, live chat, contact forms and a customer portal.
Source: www.forbes.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 more popular. It has been mentiond 112 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.

LiveAgent mentions (0)

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

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 4 days ago
  • 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 / 4 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 10 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 / 12 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
View more

What are some alternatives?

When comparing LiveAgent 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.

Zendesk - Zendesk is a beautiful, lightweight help-desk solution.

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