Scikit-learn VS Userparser

Scikit-learn

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

Userparser

Get user geolocation, crawler, browser, operating system, and device names using real-time, lightweight JSON response user agent parser, and ip lookup API.

Landing page //
2022-05-06

Landing page //
2023-02-08

Userparser is a user-agent parser & IP-address lookup API that transforms user agent strings into rich metadata and usage analytics. Sign up and start receiving parsed user-agent & ip-address data instantly to detect country, browser, OS, device, and crawler in real-time with our secure user-agent string & IP-address Lookup API.

This free user-agent parser and IP-address lookup tool enables developers to determine what type of device a user is using and where he is making the request. To assist them in creating more engaging user experiences.

With this tool, you can easily parse user agents and extract information such as device type, device name, device brand, device viewport width, device viewport height, operating system name, operating system version, browser name, browser version, crawler name, crawler category, crawler owner, crawler URL, and so on.

You can easily perform an IP-address lookup with this tool and extract information such as country name, country code, calling code, currency code, capital city, continent name and continent code, and so on.

Scikit-learn

Website: scikit-learn.org
Pricing URL: -
$ Details
Platforms: -
Release Date: -

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Userparser

Website: userparser.com
Pricing URL: Official Userparser Pricing
$ Details: free $5.59 / Monthly (Personal 50K API call/month)
Platforms: JavaScript PHP Python Java Go Ruby C++
Release Date: 2021 November

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Scikit-learn features and specs

No features have been listed yet.

Userparser features and specs

Free API call: Yes
Commercial : Yes
user-agent & IP lookup at the same time: Yes

Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

Userparser videos

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Category Popularity

0-100% (relative to Scikit-learn and Userparser)

Scikit-learn

Userparser

Data Science And Machine Learning

100 100%

Data Science And Machine Learning

0% 0

IP Data

0 0%

IP Data

100% 100

Data Science Tools

100 100%

Data Science Tools

0% 0

IP Geolocation

0 0%

IP Geolocation

100% 100

Questions and Answers

As answered by people managing Scikit-learn and Userparser.

What makes your product unique?

Userparser's answer:

Helping developers to parser user agent and ip look up at the same time.

Why should a person choose your product over its competitors?

Userparser's answer:

Using a single API call, the developer can get his users device informations and ip address informations at the same time.

How would you describe your primary audience?

Userparser's answer:

Anyone who wants to see his/her users parsed device and ip data, especially Web developers.

User comments

Share your experience with using Scikit-learn and Userparser. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Userparser

Scikit-learn Reviews

15 data science tools to consider using in 2021

Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Source: searchbusinessanalytics.techtarget.com

Userparser Reviews

Top 5 best user -agent parser APIs to get device, browser, and OS names and other device informations

10,000 requests/mo for $10 95% 85% Disclaimer: This is entirely based on my own personal experience with each API service. Except for Userparser, which is I am the creator of. How to use User Agent parser APIs I know you're going to say that any open source software or free service will enough. However, keep in mind that paid APIs take less time to integrate and provide...

Source: www.mefth.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 28 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.

Scikit-learn mentions (28)

How to Build a Logistic Regression Model: A Spam-filter Tutorial
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Link Prediction With node2vec in Physics Collaboration Network
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
PSA: You don't need fancy stuff to do good work.
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Help on using R for Machine Learning?
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago