Software Alternatives & Startups

Scikit-learn VS Decodo

Compare Scikit-learn VS Decodo and see what are their differences

Scikit-learn

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

Rating
0 reviews
Pricing
Open source
Decodo

Decodo 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.

Rating
4.5 · 2 reviews
Pricing
$12.5 (1 GB)
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.

Which is more popular?

Based on our record, Scikit-learn should be more popular than Decodo. It has been mentioned 41 times since March 2021.

social mentions
41 vs 6
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
206 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

Scikit-learn
Decodo
Website scikit-learn.org decodo.com
Pricing
Open source
$12.5 (1 GB) Official pricing
Company — 2018
Listed in

About Scikit-learn and Decodo

In their own words, as submitted to SaaSHub.

Scikit-learn
Decodo

No description of Scikit-learn yet.

Decodo 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...

Read more about Decodo

Features and specs

What each product offers, as listed by its team.

Scikit-learn 5 features
Decodo 6 features
  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.
  • 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

  • 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.

Analysis

An editorial look at what each product does well and who it suits.

Scikit-learn
Decodo

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Overall verdict

  • Smartproxy is generally well-regarded in the proxy service industry. It is recommended for those who need reliable and efficient proxy solutions with a balance of cost and performance. However, like any service, it’s important for users to assess their specific needs and test the platform to ensure it meets their requirements.

Why this product is good

  • Smartproxy is considered a good proxy service provider due to its extensive network of residential IP addresses, competitive pricing, and high success rates for web scraping and bypassing geo-restrictions. The service offers user-friendly management tools and responsive customer support, making it suitable for both beginners and advanced users. Additionally, Smartproxy places a strong emphasis on security and privacy, which are crucial factors for many users.

Recommended for

  • Web scraping professionals
  • SEO specialists
  • Businesses looking to bypass geo-restrictions
  • Users concerned with online privacy and security
  • Data miners needing reliable residential proxies

Videos

Walkthroughs and reviews on video.

Scikit-learn 2 videos + Add
Decodo 9 videos + Add

Learning Scikit-Learn (AI Adventures)

More videos

  • - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Residential rotating proxies. Why choose Smartproxy?

More videos

  • - Smartproxy review & How to smartproxy
  • - Proxies for Scraping
  • - How to Start Using Smartproxy
  • - Smartproxy Review 2023: Best Price To Value Proxies
  • - IPFighter| Review Smartproxy
  • - DECODO Review 2025 (Ex-Smartproxy) | Still the BEST Proxy?
  • - Decodo Review 2025 (former Smartproxy) | FULL Review of new features!

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Scikit-learn
Decodo
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Scikit-learn no reviews yet
Decodo 4.5 · 2 reviews
  • Proxy Service Awards 2024
    proxyway.com · May 2024

    After all these years, we still can’t find a provider that combines mid-market rates, premium-grade performance, and newbie-friendly user experience as well as Smartproxy. You can get proxies that work effectively as...

  • Very good quality
    SaaSHub review
    · Mar 2024

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

  • My Review of Smartproxy Service
    SaaSHub review
    · Dec 2023

    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...

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Scikit-learn 41 mentions
Decodo 6 mentions
  • Where to Learn Applied ML for Incident Response: Start at Scoping
    Reachability says who could be compromised. Behavior says who probably is. Sysmon Event ID 1 records every process with its parent. Reduce each to a parent>child token, keep only tokens that are new to each host since the intrusion... - Source: dev.to / about 1 month ago
  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process,... - Source: dev.to / 5 months ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab.... - Source: dev.to / 6 months ago

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Alternatives to Scikit-learn and Decodo

When comparing Scikit-learn and Decodo, you can also consider the following products.