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Glances VS Caffe

Compare Glances VS Caffe and see what are their differences

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Glances logo Glances

The single customer view you have always wanted is here. Unify your apps in an easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching.

Caffe logo Caffe

Caffe is an open source, deep learning framework.
  • Glances Landing page
    Landing page //
    2022-05-05

The single customer view you have always wanted is here. Glances unifies your apps in a simplified, easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching, searching, and clicking around to find important information.

Do the hustle without the hassle

Finding customer information within multiple programs is the hassle that ruins your workflow hustle. Glances brings your favorite online apps together, securely showing your customer data in a single view from whatever app you are using.

An integration the way it should be

It’s like iPaaS, but without the pain. Not time consuming, expensive, or untrustworthy. Glances is a new way to do integrations with a true no-code approach; no data syncing or scheduling jobs. See how it takes just minutes to connect your apps and start using a simplified customer view with Glances.

Glances is designed to support any application that provides an industry standard API, including custom applications. Here is a sample of some of the supported applications:

  • Monday.com
  • Salesforce
  • QuickBooks
  • Pipedrive
  • Slack
  • Shopify
  • Zendesk
  • Stripe
  • Mailchimp
  • Intercom
  • JIRA
  • SugarCRM
  • Zoho
  • Constant Contact
  • Freshdesk
  • Freshsales
  • SuiteCRM
  • Groove
  • DreamFactory
  • Gmail
  • Outlook 365
  • and many more
  • Caffe Landing page
    Landing page //
    2019-06-12

Glances

Website
glances.com
Pricing URL
Official Glances Pricing
$ Details
paid $12.0 / Monthly (per user)
Platforms
Browser Slack Microsoft Teams Salesforce Firefox Google Chrome Internet Explorer
Release Date
2020 April
Edit details

Caffe

Website
caffe.berkeleyvision.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Glances features and specs

  • Single Customer View: Yes
  • Integrations: Yes
  • Real time sync: Yes
  • Cross-platform support: Yes
  • No Coding Skills Required: Yes
  • Fast Performance: Yes
  • Secure: Yes
  • Free Trial: Yes

Caffe features and specs

No features have been listed yet.

Glances videos

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Meet Glances, a New Way to Integrate

More videos:

  • Review - Linux Tools: Monitoring & Troubleshooting Basics with Glances
  • Review - Glances: Remote System Monitoring From Any Device
  • Review - Glances - Terminal-Based System Monitoring Tool

Caffe videos

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

+ Add video

Category Popularity

0-100% (relative to Glances and Caffe)

Glances

Caffe

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

Share your experience with using Glances and Caffe. 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 Glances and Caffe

Glances Reviews

We have no reviews of Glances yet.
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Caffe Reviews

7 Best Computer Vision Development Libraries in 2024
CAFFE, which stands for Convolutional Architecture for Fast Feature Embedding, is a user-friendly open-source framework for deep learning and computer vision. It was developed at the University of California, Berkeley, and is designed to be accessible for various applications.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
Caffe is a deep learning framework known for its speed and efficiency in image classification tasks. It comes with a model zoo containing pre-trained models for various image-related tasks. While it’s slightly less user-friendly than some other libraries, its performance makes it a valuable asset for high-speed image processing applications.
Source: clouddevs.com

Social recommendations and mentions

Based on our record, Caffe seems to be more popular. It has been mentiond 1 time 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.

Glances mentions (0)

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

Caffe mentions (1)

  • Can someone please guide me regarding these different face detection models?
    Caffe is a DL framework just like TensorFlow, PyTorch etc. OpenPose is a real-time person detection library, implemented in Caffe and c++. You can find the original paper here and the implementation here. Source: almost 3 years ago

What are some alternatives?

When comparing Glances and Caffe, you can also consider the following products

htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.

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.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

GNOME System Monitor - System Monitor is a tool to manage running processes and monitor system resources.

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

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