Software Alternatives, Accelerators & Startups

TensorFlow VS Frontegg

Compare TensorFlow VS Frontegg and see what are their differences

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.

Frontegg logo Frontegg

Elegant user management, tailor-made for B2B SaaS
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  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • Frontegg Landing page
    Landing page //
    2022-08-22

Frontegg provides all the user management capabilities your B2B SaaS needs, allowing a full self-served experience within your product, right out of the box. From signup to checkout, Frontegg supports app builders by covering all the way from fundamental authentication flows to the most complex customer use-cases.

Frontegg is widely adopted by modern, fast-growing companies [such as Hunters, Materialize, Okera and Datadog] to enhance their customer’s journey, through a seamless integration, supporting all modern stacks and frameworks.

TensorFlow

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Frontegg

$ Details
freemium
Platforms
ReactJS React Native JavaScript
Release Date
2019 January

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)

Frontegg videos

Frontegg: The Modern Days of User Management

Category Popularity

0-100% (relative to TensorFlow and Frontegg)
Data Science And Machine Learning
Security & Privacy
0 0%
100% 100
AI
100 100%
0% 0
Identity And Access Management

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TensorFlow and Frontegg

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...

Frontegg Reviews

Top 10 Best SAML Identity Providers List for SSO (Pros and Cons)
Besides Frontegg covers fundamental authentication workflows along with advanced functionalities such as enterprise SSO, social login integrations, MFA, password less authentication, advanced security policies, multi tenancy, API token management and self service admin portal for end users, and so much more.
12 User Authentication Platforms [Auth0, Firebase Alternatives]
Forntegg also has some industry-leading attributes like forced MFA, user lockout, password change history, IP blocking, etc. In addition, you can apply Frontegg for machine-to-machine authorization. And finally, there is a facility to enable custom domains for cross-site authentication.
Source: geekflare.com

Social recommendations and mentions

TensorFlow might be a bit more popular than Frontegg. We know about 7 links to it since March 2021 and only 5 links to Frontegg. 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.

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: about 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
View more

Frontegg mentions (5)

  • Embracing AI SEO: A Game-Changing Trend in Content Production"
    Frontegg- Frontegg focuses on certain components like authentication, SSO, authentication, etc. A quick Moz domain analysis check showed me that they rank #1 for keywords like user management, microservices authentication, and auth0. Frontegg is currently doing about $2.5 million in revenue (according to Latka SaaS database). Source: 8 months ago
  • Ask HN: Shopify for SaaS?
    Have a look at Frontegg. Has everything you're looking for. https://frontegg.com. - Source: Hacker News / about 1 year ago
  • Multi-Tenant Authentication platform?
    I'm in a similar spot, also with an Auth0 based setup that feels clunky at times. I recently became aware of https://frontegg.com and, while I haven't evaluated it, it looks like they've designed it to solve these pain points. Looks like you can actually embed some of their pages directly in your UI so you don't have to build that yourself. (And just to be clear, I have no association with Frontegg). Source: about 1 year ago
  • Ask HN: Any SaaS to easily monetize my sideproject?
    I think this is what FrontEgg does - https://frontegg.com/. - Source: Hacker News / over 1 year ago
  • Bugs‌ ‌found‌ ‌in‌ Frontegg. Bug‌ ‌Crawl‌
    Frontegg is a SaaS-as-a-Service platform offering companies a range of common SaaS capabilities easily integratable into any environment. Frontegg targets both early-stage startups, midsize companies aiming to grow, as well as fully-fledged enterprises. Its solutions comprise three major verticals, such as Security, Connectivity, and Engagement. Source: about 3 years ago

What are some alternatives?

When comparing TensorFlow and Frontegg, you can also consider the following products

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

Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.

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

Keycloak - Open Source Identity and Access Management for modern Applications and Services.

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