Software Alternatives, Accelerators & Startups
Register | Login

PyTorch VS Fathom Analytics

Compare PyTorch VS Fathom Analytics and see what are their differences

IsDown.app
Monitor all your cloud services with our status page aggregator. IT teams choose IsDown to monitor all their vendors and get alerts whenever an outage occurs. Integration with Datadog, PagerDuty, Slack, Microsoft Teams, and a lot more. 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...

Fathom Analytics logo Fathom Analytics

Simple, trustworthy website analytics (finally)
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • Fathom Analytics Landing page
    Landing page //
    2022-12-16

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.

Fathom Analytics features and specs

  • Privacy-Focused
    Fathom Analytics prides itself on being privacy-focused, ensuring that user data is not sold or shared, and complies with privacy laws such as GDPR, CCPA, and PECR.
  • Simplicity
    The platform offers a user-friendly interface that's easy to navigate and understand, making it accessible for users who might not be familiar with complex analytics software.
  • Fast Setup
    Fathom Analytics boasts a quick and straightforward setup process, allowing users to start tracking their website's data within minutes.
  • Lightweight Script
    The tracking script Fathom uses is lightweight, ensuring that it doesn't significantly slow down your website's load times.
  • Data Ownership
    Users have full ownership and control over their data, providing peace of mind about how information is managed and used.
  • Transparent Pricing
    Fathom offers clear and competitive pricing without hidden fees, making budgeting for analytics services straightforward.

Possible disadvantages of Fathom Analytics

  • Limited Features
    Compared to more comprehensive analytics platforms like Google Analytics, Fathom Analytics offers fewer features, which might not meet the needs of users who require in-depth analysis.
  • Customization
    There are fewer customization options available for reports and dashboards, limiting the ability to tailor the platform to specific business needs.
  • Integration
    Fathom Analytics lacks extensive integration capabilities, which can be a drawback for users who rely on seamless integration with a wide variety of tools.
  • Market Penetration
    Being a relatively newer and smaller player in the web analytics market, Fathom Analytics has less brand recognition and fewer community resources compared to giants like Google Analytics.

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

Fathom Analytics videos

+ Add

FATHOM ANALYTICS REVIEW 🌟 INSTALL 💸 $100 (OPEN SOURCE)

More videos:

  • Review - Fathom Analytics, One-Click DigitalOcean installation guide

Category Popularity

0-100% (relative to PyTorch and Fathom Analytics)

PyTorch

Fathom Analytics

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Analytics
0 0%
Analytics
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Web Analytics
0 0%
Web Analytics
100% 100

User comments

Share your experience with using PyTorch and Fathom Analytics. 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 Fathom Analytics

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

Fathom Analytics Reviews

Top 5 Plausible Analytics Alternatives in 2024
This differentiates Fathom Analytics from alternatives that collect vast amounts of customers’ personal information.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Fathom Analytics is known for its emphasis on privacy, providing website analytics without invasive tracking methods. It maintains user data integrity, ensuring compliance with regulations like GDPR.
Source: usermaven.com

Social recommendations and mentions

Based on our record, PyTorch should be more popular than Fathom Analytics. It has been mentiond 133 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.

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 2 months 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

Fathom Analytics mentions (60)

  • 10 of the Best Web Analytics Tools for React Websites
    Marketed as the simple, lightweight, privacy-first alternative to Google Analytics, Fathom provides essential insights into website traffic and visitor behavior without compromising user privacy. - Source: dev.to / 3 months ago
  • SEO tools I used to grow my sites to 20k+ visitors/month
    Fathom is privacy first analytics for the web. According to their site, Fathom is a Google Analytics alternative that doesn’t compromise visitor privacy for data. We revolutionized website analytics by making them easy to use and respectful of privacy laws (like GDPR and more). - Source: dev.to / 6 months ago
  • Tell HN: My Favorite Tools
    A few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / over 1 year ago
  • 11 Ways to Optimize Your Website
    There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted. - Source: dev.to / over 1 year ago
  • Ask HN: Is Google Analytics that useful?
    Have you looked at Fathom[0] or GoatCounter? [0] https://usefathom.com/ [1] https://www.goatcounter.com/. - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing PyTorch and Fathom Analytics, 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.

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

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

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Simple Analytics - The privacy-first Google Analytics alternative located in Europe.

Loading...