Software Alternatives, Accelerators & Startups

TensorFlow VS Ahrefs

Compare TensorFlow VS Ahrefs 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.

Ahrefs logo Ahrefs

Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • Ahrefs Landing page
    Landing page //
    2023-10-11

Ahrefs is trusted by SEOs and marketing professionals worldwide as the ultimate toolset for SEO, powered by industry-leading data. Ahrefs crawls the web, stores tons of data and makes it easily accessible via a simple user interface. The data can be used to aid keyword research, link building, content marketing and SEO strategies. Ultimately, the tool helps to accelerate the growth of organic search traffic to a website.

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)

Ahrefs videos

Ahrefs Review and Tutorial: Is This The Only SEO Tool You Need?

More videos:

  • Review - Ahrefs Review | FatRank Ahref Testimonial
  • Tutorial - How to Use Ahrefs Tool - Best Premium SEO Tools [2019]

Category Popularity

0-100% (relative to TensorFlow and Ahrefs)
Data Science And Machine Learning
SEO Tools
0 0%
100% 100
AI
100 100%
0% 0
SEO
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 TensorFlow and Ahrefs

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...

Ahrefs Reviews

  1. Excellent for discovering low competition keywords

    I've enjoyed using Ahrefs to inform content creation due to their keyword explorer being so useful for finding low difficulty keywords. I do prefer the legacy version of their site explorer in comparison to the new format so I hope that they do not retire certain elements of the platform.

    🏁 Competitors: SEMRush

Comparing the Best Moz Alternatives for 2023
Ahrefs is undoubtedly one of the most potent Moz alternatives available on the market today. This powerful SEO tool offers comprehensive data and insights on backlinks, keywords, content, and more.
11 SE Ranking alternatives you must check out
A popular and highly regarded SEO tool, Ahrefs offers a wealth of features to help improve your website's search engine rankings and online visibility. Read on to learn about its features.
9 Best Moz Alternatives and Their Pros and Cons
Ahrefs prides itself on having an immense database with over 12.8 billion keywords, 13.4 billion indexed pages for content research, and 212.3 million domains in the backlink index. Some users, however, have pointed out potential inaccuracies in estimates and some difficulty in comprehending the data. Similar to Moz Pro, Ahrefs does not include features specifically tailored...
Source: seranking.com
Best SE Ranking Alternatives in 2023
Both Ahrefs and SE Ranking are powerful SEO tools that can help with various aspects of search engine optimization. SE Ranking has more total SEO features, while Ahrefs offers a larger set of keyword and domain backlink data for competitor analysis.
15 Best Moz Alternatives
So far, the pros outweigh and make Ahrefs one of the best Moz alternatives. But the biggest pain of using Ahrefs is their paid plans. Yes, the prices bite. So, we compiled a list of Ahrefs alternatives that will not burn a hole in your pocket.

Social recommendations and mentions

Based on our record, Ahrefs seems to be a lot more popular than TensorFlow. While we know about 111 links to Ahrefs, we've tracked only 7 mentions of 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.

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

Ahrefs mentions (111)

  • Ahrefs vs Semrush | Which One is Better
    Ahrefs is an online software suite used for SEO and content marketing. You can discover the most valuable keywords to target, see the content that's ranking for those terms, find link building opportunities, analyze your competitors' sites. The advanced application tracking system lets its users track search engine rankings and positions. - Source: dev.to / about 2 months ago
  • How to Identify Content Refresh Candidates, In Detail
    Next up, let's find articles ranking between 4 and 15.  To do this, you'll log into Ahrefs and use site explorer on the target site, navigating to "top pages."  Here's what that looks like for our property, makemeaprogrammer.com. - Source: dev.to / 6 months ago
  • I figured out about the backlinking strategy that you can apply to your SEO.
    Did you know that securing backlinks from industry giants like Ahrefs, SEMrush, Get First Page, and Search Engine Land can be a game-changer for your online presence? 📈💻. Source: 7 months ago
  • 2024 Google SEO Checklist: A List of Tips for Website Optimization
    Analyze competitors’ link configuration files (analyze and study competitors’ external link configuration, which can be detected through Ahrefs analysis tool);. Source: 8 months ago
  • Why My Domain Authority Dropped
    Even When I checked my site on https://ahrefs.com/ he shows approx 350 domain with high DA and PA. Source: 8 months ago
View more

What are some alternatives?

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

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

SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.

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

Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.

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

SE Ranking - All-in-One cloud-based SEO software for agencies, marketing teams and webmasters