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Distill.io VS TensorFlow

Compare Distill.io VS TensorFlow and see what are their differences

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Distill.io logo Distill.io

Distill.io is one of the advanced page monitoring tools used by professionals to monitor dynamic pages, feeds, and iframes.

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.
  • Distill.io Landing page
    Landing page //
    2023-07-27
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Distill.io features and specs

  • Real-time Monitoring
    Distill.io provides real-time monitoring capabilities, allowing users to track changes on websites as they happen. This is particularly useful for keeping up-to-date with time-sensitive information.
  • Customization
    Users can customize the tracking frequency and specific elements to monitor on a webpage, giving them control over what information they want to track and how often they receive updates.
  • User-friendly Interface
    The platform offers a straightforward and intuitive interface, making it accessible for users without extensive technical skills to set up website monitoring.
  • Multi-platform Support
    Distill.io supports various platforms including web browsers, mobile devices, and desktops, providing users with flexibility in accessing their monitoring data.

Possible disadvantages of Distill.io

  • Limited Free Plan
    The free version of Distill.io has significant restrictions on the number of monitors and frequency of checks, which may not be sufficient for users with extensive monitoring needs.
  • Potentially High Costs
    For users requiring more frequent monitoring or additional features, the cost can escalate, making it less affordable for personal or small business use.
  • Complex Setup for Advanced Users
    While the basic setup is user-friendly, configuring more advanced monitoring options can be complex and challenging for those who are not technically inclined.
  • Browser Dependency
    Distill.io is heavily reliant on web browsers, which could lead to issues if there are changes or updates to browser security settings or compatibility.

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.

Distill.io videos

+ Add

How To Monitor Website Changes? - Distill.io Chrome Extension

More videos:

  • Review - Data Alerts with Distill.io

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 Distill.io and TensorFlow)

Distill.io

TensorFlow

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Website Monitoring
100 100%
Website Monitoring
0% 0
AI
0 0%
AI
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 Distill.io and TensorFlow

Distill.io Reviews

We have no reviews of Distill.io yet.
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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

Based on our record, Distill.io seems to be a lot more popular than TensorFlow. While we know about 82 links to Distill.io, 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.

Distill.io mentions (82)

  • Tips for people waiting for the Refurbished Steam Deck restock
    First of all, you probably don't want to manually refresh the Steam page to check if the SD is back in stock, so I recommend installing a website monitoring extension. There are a few out there but I can vouch for distill.io because it has a free tier with unlimited local checks. Set the intervals as low as you want, but keep in mind that the last restock lasted about 45 minutes - 1 hour. I personally set mine to... Source: almost 2 years ago
  • Website change trackers
    Recently found out about website change trackers and had to share, like distill.io and fetchnotifs (not affiliated btw). I use them like everyday for amazon items and general stuff. Source: almost 2 years ago
  • Canyon Endurace CF out of stock
    You can also try notify-me.rs . It's super simple tracker, and has more checks than distill.io , we have bunch of people from this subreddit using it already! Source: almost 2 years ago
  • NEW SERIES OF JEFF DRAWINGS ON SALE
    Were these even advertised anywhere online? Insane how fast the 6x8s went. Glad I've had a distill.io alert set there for like 2 years now haha. Source: almost 2 years ago
  • What is the best free tool or code to monitor visual changes to a website in real time? (e.g. Distill.io)
    Distill.io offers every 5 seconds but it seems I need an upgraded account to be able to select this interval using the Device "Cloud-Distill's Severs (this device)". So it seems I'd need to always be on my computer in order for it to run. So I selected "Any Local Device (beta)" for device. Description for "Device" = Select device that this monitor runs on. Other devices will appear in the list once all devices... Source: almost 2 years ago
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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: about 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 Distill.io and TensorFlow, you can also consider the following products

Visualping - Visualping is the easiest to use website checker, webpage change monitoring, website change detector and website change alert software of the web. Read more about Visualping.

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

Monity.ai - Monitor website changes in real time with Monity.ai – Stay informed with AI-powered alerts and never miss anything happening on the internet.

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

Browse AI - Automate any workflow on any website with no code. Used for monitoring, testing, automation, and data aggregation.Sign up now for free and receive 2x jobs per month – forever!

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

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