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# scikit-learn Reviews & Product Details

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

* * *

Seller
[scikit-learn](https://www.g2.com/sellers/scikit-learn)
Discussions
[scikit-learn Community](https://www.g2.com/products/scikit-learn/discuss)
Solution Type

Best-of-Breed

Overview by
JORDAN JUSTIN

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

2 months

### Return on Investment

4 months

[
View More Pricing Information
](https://www.g2.com/products/scikit-learn/pricing)

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Weka

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## User Insights

Average based on 60 real user reviews.

Implementation Time

2 months

Perceived Cost

$$$$$

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 ![Verified User in Higher Education](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Higher Education")
UH

Verified User in Higher Education

Mid-Market (51-1000 emp.)

12/17/2025

"Perfect Starter Library for Machine Learning Beginners"

4.5/5

What do you like best about scikit-learn?

I guess this is the library which every newbie who's learning machine learning starts with and so am I. This is a very clean library where you get the basic logical code of many algorithms like regression, classification and clustering etc.As the algorithm is pre written so i only focus on traning the datas and output.It have very clean and smooth API. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

As told earlier it is for beginners and if you don't know python then it take you lots of time to understand each thing how it works.It doesn't support heavy models (if you try to make it then it starts to lag and doesn't give desire output).It also have limited customization for the algorithms also,like black boxes and fine grains control is not always easy. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

It is very useful to train the model as stated earlier that it contains the many algorithm so i don't have to write the code from Scratch . In my college time it helps me to make 2-3 models with achieving accuracy of 80 percent something .So this made my interest in this field and i have switched to tensorflow for more learnig. Review collected by and hosted on G2.com.

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Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconValidated ReviewerIncentivizedSource: G2 invite

 ![Diana B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Diana B.")
DB

Diana B.

Small-Business (50 or fewer emp.)

5/2/2023

"Python library"

4.5/5

What do you like best about scikit-learn?

Users who wish to connect the algorithms to their platforms will find detailed API documentation on the scikit-learn website. Many contributors, authors, and a large international online community support and update Scikit-learn. It is easy to use. The library is published under the BSD license, so it is available for free with only the most basic legal and licensing restrictions. The scikit-learn package is extremely adaptable and useful, and can be used for a variety of real-world tasks, such as developing neuroimaging, predicting consumer behavior, etc. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

It is not a great choice if one prefers in-depth learning. It provides a simple abstraction that may tempt beginner data scientists to continue without first learning the basics. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

Scikit-learn allows us to define machine learning algorithms and compare them with each other, as well as offering tools for data preprocessing. K-means clustering, random forests, support vector machines, and any other machine learning model we want to develop are included in Scikit-learn. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 inviteAI Translated

 ![Palash S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Palash S.")
PS

Palash S.

Graduate Research Assistant

Mid-Market (51-1000 emp.)

9/20/2023

"Best open source library for Machine learning."

5/5

What do you like best about scikit-learn?

I like how dynamic scikit-learn library is. it provides preloaded and ready-to-use functions for all sorts of machine learning and data preprocessing algorithms. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

The only downside is the lack of native support for deep learning libraries. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

majority of the time I use the sci-kit-learn library for regression purposes in sales prediction. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

KS

Kitriakos S.

Mid-Market (51-1000 emp.)

6/9/2023

"scikit-learn"

5/5

What do you like best about scikit-learn?

Scikit-learn is built on top of efficient numerical libraries, such as NumPy and SciPy, which provide optimized implementations of mathematical and numerical operations. This ensures that the library can handle large datasets and complex computations efficiently, contributing to its robustness and scalability. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

While scikit-learn provides a range of tools for feature selection, extraction, and transformation, it does not offer extensive automated feature engineering capabilities found in some specialized libraries. Users may need to manually engineer or select features based on their domain knowledge or explore other feature engineering libraries or techniques. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

Scikit-learn includes functionalities for text preprocessing, feature extraction from text data, and building machine learning models for NLP tasks. It offers methods for vectorizing text using techniques like bag-of-words, TF-IDF, and word embeddings. This makes it useful for tasks like sentiment analysis, text classification, and document clustering. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Chandresh M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Chandresh M.")
CM

Chandresh M.

System Engineer

Mid-Market (51-1000 emp.)

9/23/2021

"Machine Learning Library You Need to Know"

4.5/5

What do you like best about scikit-learn?

The best thing, as per me, is there is documentation available of scikit-learn. So, if I sometimes find it difficult to apply some algorithms, I can check the documentation, which helps me. I like this thing. Scikit-learn also provides many inbuilt datasets so that I can use them for practice purposes. Scikit-learn comes with many machine learning algorithm, which makes easy to me for implementing algorithms. I like that it comes with many data manipulation functions to clean my data according to my requirements. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

One thing I don't particularly appreciate is that it doesn't have any Deep Learning algorithms. If I want to develop some production-ready algorithm, then scikit-learn is not so great compared to their competitors. Review collected by and hosted on G2.com.

Recommendations to others considering scikit-learn:

If you are a beginner in Machine Learning development, then you should start with scikit-learn library, which provides you many Machine Learning algorithms so you can learn them. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

I am using scikit-learn to develop Machine Learning applications. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Dr. Jayant J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dr. Jayant J.")
DJ

Dr. Jayant J.

Assistant Professor

Mid-Market (51-1000 emp.)

1/19/2022

"scikit-learn is the best machine learning library for the python platform"

5/5

What do you like best about scikit-learn?

scikit-learn library is very easy to import and ready to use for the python platform. It also contains some sample datasets for trying machine learning algorithms. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

There is as such no point that I dislike in scikit-learn library. Most of the commonly used as well as recent machine learning algorithms are available for use Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

I use scikit-learn library for solving machine learning problems. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Joaquín A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Joaquín A.")
JA

Joaquín A.

Data-analyst

Mid-Market (51-1000 emp.)

12/23/2021

"Best library for data science"

5/5

What do you like best about scikit-learn?

What I like about Scikitlearn is its documentation, clarity and versatility of the kit. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

There's nothing I dislike about it so far. Review collected by and hosted on G2.com.

Recommendations to others considering scikit-learn:

I highly recommend Scikitlearn. It's a fantastic option for machine learning projects. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

It's my first option while doing data modeling and machine learning. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Aarti M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aarti M.")
AM

Aarti M.

Senior Officer- Client success

Enterprise (\> 1000 emp.)

1/19/2022

"Informative"

5/5

What do you like best about scikit-learn?

Informative session and advanced tools for learning Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

The time duration of the clip should be longer and more detailed. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

day to day issues Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![deniz y.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "deniz y.")
DY

deniz y.

Business Intelligence Manager

Small-Business (50 or fewer emp.)

9/24/2021

"Basic machine learning library"

4.5/5

What do you like best about scikit-learn?

It is very useful in the beginning for data mining and data analysis. Easy to use. It provides maximum efficiency with minimum effort. Data processing, regression, dimension reduction, classification, cluster analysis are the features I use. It's completely free. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

It runs slow on large datasets. It can improve on classification. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

I can automatically process pre-categorized data. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Wireless](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Wireless")
UW

Verified User in Wireless

Mid-Market (51-1000 emp.)

10/11/2021

"In built function availability and Simple to use"

4.5/5

What do you like best about scikit-learn?

I really like it when I solve any Machine learning problem, It has a lot of inbuilt ML models that are tough to implement but here those are easy to use. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

I feel that It should have much more good deep Neural network models Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

Machine learning modeling for a Speech and Image processing projects Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

## Questions about scikit-learn? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

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GU

Guest User
•
Last activity over 3 years ago

What is Python Scikit learn?

0 Upvotes

1

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Join the conversation
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GU

Guest User
•
Last activity about 1 year ago

What is scikit-learn used for?

0 Upvotes

2

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Join the conversation
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## Pricing Insights

Averages based on real user reviews.

### Time to Implement

2 months

### Return on Investment

4 months

### Average Discount

10%

[
View More Pricing Information
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