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Oxylabs VS TensorFlow

Compare Oxylabs VS TensorFlow and see what are their differences

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Oxylabs logo Oxylabs

A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.

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.
  • Oxylabs Landing page
    Landing page //
    2023-06-02

Over the years in the market, Oxylabs has become a global leader in the web intelligence acquisition industry and has earned the trust of 3,500+ clients worldwide, including dozens of Fortune Global 500 companies, academia, and researchers.

Oxylabs offers one of the largest proxy pools in the market—102M+ IPs in 195 countries. The high success rates of its Web Scraper API and Web Unblocker enable customers to maintain robust data-gathering infrastructures to power their businesses.

Clients rely on Oxylabs' premium service for market research, ad verification, brand protection, travel fare aggregation, SEO monitoring, pricing intelligence, and more.

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

Oxylabs

Website
oxylabs.io
Pricing URL
Official Oxylabs Pricing
$ Details
paid Free Trial $8.0 (per GB)
Platforms
Web Windows Mac OSX Android Google Chrome Browser
Release Date
2015 January
Edit details

TensorFlow

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

Oxylabs features and specs

  • Residential Proxies
  • Mobile Proxies
  • Datacenter Proxies
  • Dedicated Datacenter Proxies
  • ISP Proxies
  • Web Scraper API
  • Web Unblocker
  • Company Datasets
  • E-Commerce Product Datasets
  • Job Postings Datasets
  • Community and Code Datasets
  • Product Review Datasets

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Oxylabs videos

+ Add

Oxylabs Residential Proxy Self-Service Tutorial | Oxylabs

More videos:

  • Tutorial - Python Web Scraping Tutorial: Step-by-Step
  • Demo - Oxylabs Datacenter Proxies
  • Demo - Oxylabs Residential Proxies
  • Review - How to Choose the Best Proxies?

TensorFlow videos

+ Add

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 Oxylabs and TensorFlow)

Oxylabs

TensorFlow

Proxy
100 100%
Proxy
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Residential Proxies
100 100%
Residential Proxies
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using Oxylabs 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 Oxylabs and TensorFlow

Oxylabs Reviews

Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
Oxylabs remains the number aggressive competitor of Bright Data – they have even had a case to settle in the court in the past. If you wouldn’t want to use Bright Data proxies, then you might as well avoid Oxylabsas it is everything you hate in Bright Data and even worse. Aside from the pricing aspect, Oxylabs have been found to engage in some unethical practices and scam...
Source: www.bestproxyreviews.com
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
OxyLabs has the largest proxy network with more than 100 million IP addresses. Due to the large proxy pool, you can unlock every site in the world regardless of where you live.
Source: earthweb.com
10 Best Free Online Proxy Server List of 2022 [VERIFIED]
Oxylabs offers an innovative proxy service for gathering the data at a scale. It offers the solutions of Datacenter proxies, Residential Proxies, Next-Gen Residential Proxies, and Real-time Crawler. Oxylabs’® self-service dashboard will give you detailed statistics of proxy usage. It helps with the creation of sub-users, whitelisting of IPs, etc.
Source: www.softwaretestinghelp.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.
Source: www.labellerr.com
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...
Source: www.assemblyai.com

Social recommendations and mentions

Oxylabs might be a bit more popular than TensorFlow. We know about 9 links to it since March 2021 and only 7 links to TensorFlow. 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.

Oxylabs mentions (9)

  • Cheap Residential Proxy: Affordable and Reliable Proxy Service for Anonymous Browsing
    Utilize Residential Proxies: Residential proxies come with the advantage of having whitelisted IPs tied to real devices, making them reliable for web scraping and anonymous browsing. Providers like Oxylabs, SOAX, and NetNut offer residential proxy services that can cater to your specific needs. Source: over 1 year ago
  • Scraping with puppeteer and export in JSON format
    To begin scraping data, you have to decide which platform data you want to scrap. While it is easy to scrap data, some platforms prevent access to scraping of it data and you will have to use a third-party tool like ZenRows or Oxylabs just to mention a few. - Source: dev.to / over 1 year ago
  • Best Proxy Website? Reddit recommendations?
    Have you tried Oxylabs? They have both residential and datacenter proxies. But I’ve heard their speed is not that great, so do your research. Source: about 2 years ago
  • Everytime when I ask someone what they watch movies on
    Just know that this is what they do as a side gig using their clients as endpoints. Source: about 2 years ago
  • Need help with Storm Proxies
    Ok ended up just going with oxylabs.io. Couldn't figure it out. Source: over 2 years ago
View more

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 2 years 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 3 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 3 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 3 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 3 years ago
View more

What are some alternatives?

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

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

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

Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.

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

NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.

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

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