Software Alternatives, Accelerators & Startups
Register | Login

PyTorch VS Ahrefs

Compare PyTorch VS Ahrefs and see what are their differences

Netumo
Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PyTorch logo PyTorch

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

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!
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • 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.

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

Ahrefs features and specs

  • Comprehensive Data
    Ahrefs offers extensive data on backlinks, keywords, and site audits, allowing users to make well-informed decisions on their SEO strategies.
  • User-Friendly Interface
    The platform has an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced SEO professionals.
  • Accurate Backlink Analysis
    Ahrefs is known for its accurate and up-to-date backlink data, which is crucial for comprehensive SEO analysis and strategy development.
  • Robust Keyword Research
    The keyword research tools in Ahrefs provide detailed information and insights, helping users to identify valuable keywords for their content.
  • Site Audit Capabilities
    Ahrefs' site audit feature helps identify and fix on-site SEO issues, improving overall website health and performance.
  • Continuous Updates
    Ahrefs frequently updates its database and introduces new features, ensuring users have access to the latest SEO tools and data.
  • Competitive Analysis
    The platform allows users to analyze competitor websites in-depth, giving insights into their strategies and helping to identify opportunities.

Possible disadvantages of Ahrefs

  • High Cost
    Ahrefs is relatively expensive compared to other SEO tools, which may be a barrier for small businesses or individual users with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, the vast array of features and data can initially be overwhelming for new users, requiring time to master.
  • Limited Access in Basic Plan
    The lower-tier plans limit access to certain data and features, potentially necessitating an upgrade to higher-cost plans for full functionality.
  • No Free Trial
    Ahrefs does not offer a free trial, which can make it challenging for potential users to fully assess its value before committing to a subscription.
  • API Limitations
    Access to the API is restricted and may not be comprehensive enough for advanced users requiring extensive data integration capabilities.
  • Occasional Data Gaps
    Despite frequent updates, there may occasionally be gaps or delays in data, particularly for niche or emerging markets.
  • Limited Customer Support Options
    Customer support is mainly provided via email, which might not be sufficient for urgent issues or users preferring instant support options like live chat.

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Ahrefs videos

+ Add

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 PyTorch and Ahrefs)

PyTorch

Ahrefs

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
SEO Tools
0 0%
SEO Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
SEO
0 0%
SEO
100% 100

User comments

Share your experience with using PyTorch and Ahrefs. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Ahrefs Reviews

  1. Cyra Brown
    · Owner at Beginu ·
    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
The 16 Best Moz Alternatives for Every Budget 
Unlike competitors, Ahrefs doesn’t offer a free trial. To start using Ahrefs, you must purchase the Lite plan for $129.
Source: trafficthinktank.com
10 SE Ranking Alternatives in 2025 [Free and Paid]
Users appreciate Moz Pro for its user-friendly design and accurate rank tracking, making it accessible to both beginners and experienced marketers. However, some users feel it lacks the depth in backlink analysis offered by tools like Ahrefs, which may limit its appeal for those focusing on link-building.
Source: www.madx.digital
10 Moz Pro Alternatives in 2025 [Free and Paid]
Starting at $129/month, Ahrefs is slightly more expensive than Moz Pro but offers advanced features that justify the investment. For users who require detailed backlink data and in-depth SEO analysis, Ahrefs is a top choice.
Source: www.madx.digital
The best alternatives to SE Ranking in 2024
But all this comes at a price. Ahrefs is quite expensive, especially considering that even with a subscription, its use is not unlimited. At the beginning of each month, you are allocated a number of credits, which varies depending on the plan, and these credits are depleted as you use many of its features. And believe me, the credits run out faster than you realize.
Source: dinorank.com
Top 6 Moz Competitors In 2024: A Detailed Review
Furthermore, Ahrefs excels in providing users with in-depth backlink data. It helps to uncover new link-building opportunities and analyze competitors’ backlink strategies. Its user-friendly interface and accurate data make it a favorite among SEO professionals.
Source: www.flyingvgroup.com

Social recommendations and mentions

PyTorch might be a bit more popular than Ahrefs. We know about 133 links to it since March 2021 and only 119 links to Ahrefs. 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.

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 1 month ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

Ahrefs mentions (119)

  • Generating Content with ChatGPT
    I’ve been using the most excellent ARefs site to get information about how good the on-page SEO is for many of my sites. Every couple of weeks, ARefs crawls the site and will give me a list of suggestions of things I can improve. And for a long time, I had been putting off dealing with one of the biggest issues – because it seemed so difficult. - Source: dev.to / 4 days ago
  • How We Marketed a Niche SaaS Product with Zero Budget: 9 Strategies That Actually Worked
    Pro tip: Use Ahrefs or Ubersuggest to find long-tail gold. - Source: dev.to / 9 days ago
  • Ask HN: How to Get Good at SEO?
    I recently "launched" my product by mentioning it across Twitter and Discord which led some traffic to it. However, that is not a long-term strategy. I have heard about Ahrefs: https://ahrefs.com/, but I don't want to spend $129 right now since I'm not sure whether the ROI on it would be worth it. Are there any strategies or tips you might be able to share? - Source: Hacker News / about 1 month ago
  • Open source Google Analytics replacement
    Posthog is pretty good but very pushy towards using their SaaS (understandably). Self hosting is not really advertised on their main site however is buried in their gh repo as a footnote [1] with indications of vague issues past 100K events/month. Haven’t delved into how to scale it past that though and they do provide some docs that I have yet to review. Also the primary repo is not FOSS, and that "100% FOSS"... - Source: Hacker News / about 1 month ago
  • What We Did to Gain 3,000 GitHub Stars for the Liam Repository
    Used Ahrefs to check backlinks of competitors and similar products, adding sites that featured those products to our list of candidates. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

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

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.

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.

Serpstat - Serpstat is the Swiss army knife for automating SEO processes. With a suite of powerful modules, you can track your performance, analyze your competitors, research keywords and backlinks, audit your website, and so much more.

Loading...