Software Alternatives, Accelerators & Startups

Duo Security VS TensorFlow

Compare Duo Security VS TensorFlow and see what are their differences

Duo Security logo Duo Security

Duo Security provides cloud-based two-factor authentication. Duo’s technology can be deployed to protect users, data, and applications from breaches, credential theft, and account takeover.

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.
  • Duo Security Landing page
    Landing page //
    2023-09-26
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Duo Security videos

What is DUO Security 2FA and How it Works With Windows Remote Desktop

More videos:

  • Review - Powerful New Features from Duo Security
  • Review - An Introduction to Duo Security

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 Duo Security and TensorFlow)
Identity And Access Management
Data Science And Machine Learning
Two Factor Authentication
AI
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 Duo Security and TensorFlow

Duo Security Reviews

20 Identity Management Solutions You Should Know
Used by WhatsApp and Etsy, Duo Security was designed with modern companies in mind. That means it prioritizes speed. The DuoMobile app, for instance, simplifies multi-factor authentication. Users can merely tap on a push notification instead of typing in an SMS code to complete their login. Duo also allows for a modern, mobile-friendly work culture by letting organizations...
Source: builtin.com

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, Duo Security should be more popular than TensorFlow. It has been mentiond 31 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.

Duo Security mentions (31)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Duo.com — Two-factor authentication (2FA) for website or app. Free for ten users, all authentication methods, unlimited, integrations, hardware tokens. - Source: dev.to / 4 months ago
  • Additional computer log-in protection
    You could use Duo - https://duo.com/. It can be set to require MFA when logging in locally or only when logging in via RDP (or both). It's free for up to 10 users. Source: 12 months ago
  • [Data-Mining] Upcoming tunnels from the May 23 patch
    A quick google tells me that Duo is a 2FA service from Cisco. Maybe that's what Anet is using to manage the 2FA in the launcher behind the scenes? Source: 12 months ago
  • what do you use for ssh brute force protection: fail2ban or sshguard ? or something else ? for ubuntu and fedora
    I have Duo (https://duo.com) enabled on my internet facing SSH server. It sits behind sslh on port 443 and uses public key authentication only. Source: about 1 year ago
  • Duo MFA with Serverless API Gateway for authentication
    Our organization uses Duo, which is an MFA tool that competes with Okta. I created a serverless application with API Gateway and Lambda that gives users access to Salesforce resources where they can directly update records. This was a workaround for getting around Salesforce community clouds expensive community licenses. Source: about 1 year ago
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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 Duo Security and TensorFlow, you can also consider the following products

Google Authenticator - Google Authenticator is a multifactor app for mobile devices.

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

Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.

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

Okta - Enterprise-grade identity management for all your apps, users & devices

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