Software Alternatives, Accelerators & Startups

LiveAgent VS TensorFlow

Compare LiveAgent VS TensorFlow 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!

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • 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.

  • TensorFlow Landing page
    Landing page //
    2023-06-19

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

TensorFlow 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

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to LiveAgent and TensorFlow)
Customer Support
100 100%
0% 0
Data Science And Machine Learning
Help Desk
100 100%
0% 0
AI
0 0%
100% 100

Questions and Answers

As answered by people managing LiveAgent and TensorFlow.

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 TensorFlow. 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 TensorFlow

LiveAgent Reviews

  1. Great Helpdesk solution

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

    🏁 Competitors: Zendesk, Freshdesk
    👍 Pros:    Easy to use|Easy integration|Automation and custom functions
    👎 Cons:    Nothing, so far

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, LiveAgent’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
Best Customer Service Software
For example, are you looking for customer service software specifically for live chat? LiveAgent will be a top choice for you. If you want a solution for your field service agents, use Salesforce Service Cloud. There are even tools for customer service, sales, and marketing CRM built into single product bundles.
Best Call Center Software: The Complete List (2020 Update)
LiveAgent is a call center software built into your help desk. It connects with your VoIP provider, lets you receive calls from your website, allows for unlimited internal calls, and helps you connect with customers via outbound call or a follow-up call.
Top 10 Alternatives to Zendesk: Analysis of Leading Help Desk Software Solutions
LiveAgent is a simple but powerful helpdesk focusing on live chat, email support, and social media integration. But don’t be fooled by its positioning as a powerful chat tool; it features a comprehensive set of helpdesk tools, including ticket management, reporting, and gamification. LiveChat features are scalable to meet the needs of businesses of any size. The app can...

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 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.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing LiveAgent and TensorFlow, 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

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.