Software Alternatives, Accelerators & Startups

Smartproxy VS Keras

Compare Smartproxy VS Keras and see what are their differences

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Smartproxy logo 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 logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Smartproxy Landing page
    Landing page //
    2022-08-26

Smartproxy has been a promising proxy provider since its first days in 2018. They offer a wide selection of proxies (residential, shared and private datacenter proxies) and three full-stack scraping APIs with 100% success rates and a no-code scraper. It has an easy-to-use dashboard, public API, and flexible payment methods. Being awarded for its consumer-centric approach, Smartproxy continues to look for ways to make public data gathering as simple and accessible to everyone as possible.

The key things Smartproxy offers for you:

  • 55M+ high-quality residential IPs with an average speed of <0.5 sec.

  • Global coverage – target 195+ locations, including cities and 50 US states.

  • Pay As You Go option - $3.5 per 1GB.

  • 500K+ shared and dedicated datacenter IPs.

  • Unlimited connections and threads.

  • Full anonymity and security.

  • Smart Wallet for easy payment management.

  • Fantastic 24/7 support with 40s average response time.

  • User-friendly dashboard with a quick and easy proxy setup.

  • Detailed documentation and an informative blog.

  • A bunch of free tools with any plan subscription.

  • Free trial for all products..

  • Keras Landing page
    Landing page //
    2023-10-16

Smartproxy features and specs

  • Large Proxy Pool
    Smartproxy offers a vast pool of residential and data center proxies, which expands the choice and decreases the chance of IP bans.
  • User-friendly Dashboard
    The service provides an intuitive and easy-to-use dashboard, making it simple for users to manage their proxies and monitor usage.
  • High Anonymity
    Smartproxy ensures high levels of anonymity and privacy, useful for activities requiring discreetness like web scraping.
  • Global Coverage
    With proxies available in numerous locations worldwide, users can access geographically restricted content or conduct broad market research.
  • 24/7 Customer Support
    Their customer support is available around the clock, offering reliable and prompt assistance to users via live chat and email.
  • Flexible Pricing Plans
    Smartproxy provides a range of pricing plans catering to different needs and budgets, including pay-as-you-go options.

Possible disadvantages of Smartproxy

  • Higher Cost for Premium Plans
    While they do offer flexible pricing, the more advanced plans can be expensive, making them less accessible for smaller businesses or individual users.
  • Usage Limitations
    There are bandwidth limitations depending on the plan you choose, which can be restrictive for tasks requiring large data transfers.
  • Shared Proxies
    Some of the proxies are shared, which can potentially slow down connection speeds or lead to IP bans if other users abuse the service.
  • No Free Trials
    Smartproxy does not offer a free trial, which could deter potential customers who are unwilling to commit without trying the service first.
  • Learning Curve for Advanced Features
    Utilizing some of the more sophisticated functionalities might require a learning curve, especially for users not familiar with proxy services.

Keras features and specs

  • User-Friendly
    Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
  • Modularity
    Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
  • Pre-trained Models
    Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
  • Integration with TensorFlow
    As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
  • Extensive Documentation
    Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
  • Community Support
    Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages of Keras

  • Performance Limitations
    Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
  • Limited Low-Level Control
    The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
  • Scalability Issues
    In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
  • Dependency on TensorFlow
    While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
  • Lagging Behind Latest Research
    Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

Smartproxy videos

Residential rotating proxies. Why choose Smartproxy?

More videos:

  • Tutorial - Smartproxy review &amp; How to smartproxy
  • Review - Proxies for Scraping
  • Tutorial - How to Start Using Smartproxy
  • Review - Smartproxy Review 2023: Best Price To Value Proxies
  • Review - IPFighter| Review Smartproxy

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras &amp; Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

0-100% (relative to Smartproxy and Keras)
Proxy
100 100%
0% 0
Data Science And Machine Learning
Residential Proxies
100 100%
0% 0
Data Science Tools
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 Smartproxy and Keras

Smartproxy Reviews

  1. Vladyslav
    · Backend Developer at KittenProperties ·
    Very good quality

    Residential proxy is quite good. High success rate with their proxies even though it is quite expensive

    🏁 Competitors: NetNut.io
    👎 Cons:    Expensive
  2. CPAScraping
    · Working at CPA Scraping ·
    My Review of Smartproxy Service

    Smartproxy, in my experience, is a solid choice for heavy-duty web scraping tasks. Been using it for bulk data mining. Their proxy pool's massive – good for avoiding blocks and captchas. Speed's decent, uptime mostly consistent. Setup? Straightforward. But yeah, pricing's a bit on the higher side, especially for large-scale operations. Overall, Smartproxy delivers, especially for those heavy scraping needs.

    👍 Pros:    Ip diversity|Quick data access|Minimal downtime|User-friendly interface:
    👎 Cons:    Pricey|Some geo-restrictions.|Ometimes slow response.

OxyProxy vs. Smartproxy: A Detailed Comparison
Set of Services Provided by Smartproxy Service TypeDescriptionResidential ProxiesOffers IP addresses from real residential connections, ideal for high anonymity and avoiding blocks.Data Center ProxiesProvides faster speeds, suitable for tasks requiring high-speed connections.Rotating ProxiesAutomatically rotates IP addresses, enhancing anonymity and reducing the risk of...
Source: oxyproxy.pro
Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
The proxy pool is one of the cleanest as it is regularly being updated. Currently, it has over 5 million residential IP addresses sourced from many locations. As stated earlier, Soax is affordable even though its pricing model is the same with both Smartproxy and Bright Data – bandwidth-based. Just like Smartproxy, all you need to use the Soax service is a minimum of $75.
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
Smartproxy offers both residential and datacenter proxies, but their residential ones have the best features. Unlike most other residential proxy providers, Smartproxy focuses solely on providing the best residential IPs to businesses.
Source: earthweb.com
10 Best Free Online Proxy Server List of 2022 [VERIFIED]
Smartproxy offers a residential proxy network with 40M+ IPs. It offers the solutions of data center proxies, search engine proxies, etc. Chrome proxy extension will help you with accessing the localized content. Proxy address generator provides the facility of exporting the proxy list for any software.
Best Data Scraping Tools
Smart proxy has about 10 million rotating residential proxies with location targeting and flexible pricing. There are rotating sessions, random IPs, geo-targeting, sticky sessions, and more. Smart proxy creates a room for unlimited connections and numerous threads which offer 99% SLA with low failure rates, functioning 24/7 with reliable support of 5 minute response time.

Keras Reviews

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
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Social recommendations and mentions

Based on our record, Keras should be more popular than Smartproxy. It has been mentiond 35 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.

Smartproxy mentions (6)

  • Best Amazon Scraper APIs To Check Out in 2024
    Smarproxy is another proxy provider that offers a dedicated section for scraping e-commerce platforms including Amazon. Their Amazon API is known for its speed and quality and can be used just with a simple POST request. - Source: dev.to / 11 months ago
  • Basic Web Browser with Electron +APIS
    Smartproxy: Offers residential proxies with support for HTTP(S) and SOCKS5. It is known for its high success rate and 24/7 technical support. Smartproxy provides a balance between price and performance, making it accessible to less experienced users (Smartproxy). - Source: dev.to / about 1 year ago
  • Cheap Residential Proxy: Affordable and Reliable Proxy Service for Anonymous Browsing
    For instance, imagine you are conducting market research and need to scrape data from various websites for analysis. By using a residential proxy service like anyip.io or Smart Proxy, you can ensure that your scraping activities are secure and undetectable while maintaining anonymity. Additionally, these services effortlessly handle throttling of threads and swiftly manage captchas. Source: over 1 year ago
  • Proxy for Instagram: What is It and How to Get It?
    Smartproxy Rotating residential IPs for multi-accounting. Large rotating residential proxy pool, 195+ countries, no subnets, an easy setup process. The IPs are from both desktop and mobile devices. Different tools for IG automation and affordable price plans ($75/5 GB ($15/GB). However the residential IPs are still P2P, so you have sticky sessions up to 30 min and then proxies rotate. - Source: dev.to / over 2 years ago
  • Smartproxy Review
    Smartproxy is one of the latest rotating residential proxy services to hit the market. Smartproxy offers its users immense features and functionality at affordable rates. If you’re looking for a long-term proxy service to stick to, it’s worth looking at Smartproxy’s unique offerings. - Source: dev.to / almost 4 years ago
View more

Keras mentions (35)

  • Top Programming Languages for AI Development in 2025
    The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 19 days ago
  • Top 8 OpenSource Tools for AI Startups
    If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
  • Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
    At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 11 months ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Smartproxy and Keras, 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.

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

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

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.