Compare Pybrain, XGBoost, and scikit-learn

Pricing

 
Free Trial Unavailable
Free Trial Unavailable
Free Trial Unavailable
Pybrain
Free Trial Unavailable
XGBoost
Free Trial Unavailable
scikit-learn
Free Trial Unavailable

Ratings

Meets Requirements
Meets Requirements
8.5
9.2
9.6
Ease of Use
Ease of Use
7.9
8.9
9.6
Ease of Setup
Ease of Setup
8.6
8.5
9.6
Ease of Admin
Ease of Admin
7.9
8.3
9.4
Quality of Support
Quality of Support
8.2
7.6
9.4
Ease of Doing Business With
Ease of Doing Business With
8.0
8.3
9.2
Product Direction (% positive)
Product Direction (% positive)
6.8
6.5
9.7
Meets Requirements
Pybrain
8.5
XGBoost
9.2
scikit-learn
9.6
Ease of Use
Pybrain
7.9
XGBoost
8.9
scikit-learn
9.6
Ease of Setup
Pybrain
8.6
XGBoost
8.5
scikit-learn
9.6
Ease of Admin
Pybrain
7.9
XGBoost
8.3
scikit-learn
9.4
Quality of Support
Pybrain
8.2
XGBoost
7.6
scikit-learn
9.4
Ease of Doing Business With
Pybrain
8.0
XGBoost
8.3
scikit-learn
9.2
Product Direction (% positive)
Pybrain
6.8
XGBoost
6.5
scikit-learn
9.7

Reviewers' Company Size

Small-Business (50 or fewer emp.)
Small-Business
(50 or fewer emp.)
63.6%
50.0%
34.1%
Mid-Market (51-1000 emp.)
Mid-Market
(51-1000 emp.)
9.1%
16.7%
22.0%
Enterprise (> 1000 emp.)
Enterprise
(> 1000 emp.)
27.3%
33.3%
43.9%
Pybrain
Small-Business
63.6%
Mid-Market
9.1%
Enterprise
27.3%
XGBoost
Small-Business
50.0%
Mid-Market
16.7%
Enterprise
33.3%
scikit-learn
Small-Business
34.1%
Mid-Market
22.0%
Enterprise
43.9%

Reviewers' Industry

 
Computer Software
63.6%
Computer Software
25.0%
Computer Software
41.5%
 
Information Technology and Services
18.2%
Financial Services
16.7%
Information Technology and Services
17.1%
 
Research
9.1%
Research
8.3%
Higher Education
9.8%
 
Banking
9.1%
Marketing and Advertising
8.3%
Hospital & Health Care
7.3%
 
Information Technology and Services
8.3%
Education Management
4.9%
 
Other
0.0%
Other
33.3%
Other
19.5%
Pybrain
Computer Software
63.6%
Information Technology and Services
18.2%
Research
9.1%
Banking
9.1%
Other
0.0%
XGBoost
Computer Software
25.0%
Financial Services
16.7%
Research
8.3%
Marketing and Advertising
8.3%
Information Technology and Services
8.3%
Other
33.3%
scikit-learn
Computer Software
41.5%
Information Technology and Services
17.1%
Higher Education
9.8%
Hospital & Health Care
7.3%
Education Management
4.9%
Other
19.5%

Reviews

Most Helpful Favorable Review
Most Helpful Favorable Review
Rajesh P.
G2 User in Computer Software

- This library is open source and freely available for anybody to use. - It allows one to build neural network step by step giving one the power to define every module. - This modular level implementation in turn helps to understand the overall...

Chathuri J.
G2 User

I have used XGBoost models for many ML competition problems so far. Every time I could achieve a high accuracy and high performance model through using XGBoost. XGBoost is well known for its better performance and efficient memory management in ML...

Rishab G.
G2 User in Computer Software

Documentation has great explanation and is very easy to implement.

Most Helpful Critical Review
Most Helpful Critical Review
Obaib E.
G2 User

Hard to configure to be parrallel execution and still slow than other choices

G2 User in Financial Services

There's not much to dislike. It's been pretty popular as a decision tree algorithm and rightly remains a reliable choice for data science applications. Only wished it was developed sooner!

 
Pybrain
Most Helpful Favorable Review
Rajesh P.
G2 User in Computer Software

- This library is open source and freely available for anybody to use. - It allows one to build neural network step by step giving one the power to define every module. - This modular level implementation in turn helps to understand the overall...

Most Helpful Critical Review
Obaib E.
G2 User

Hard to configure to be parrallel execution and still slow than other choices

XGBoost
Most Helpful Favorable Review
Chathuri J.
G2 User

I have used XGBoost models for many ML competition problems so far. Every time I could achieve a high accuracy and high performance model through using XGBoost. XGBoost is well known for its better performance and efficient memory management in ML...

Most Helpful Critical Review
G2 User in Financial Services

There's not much to dislike. It's been pretty popular as a decision tree algorithm and rightly remains a reliable choice for data science applications. Only wished it was developed sooner!

scikit-learn
Most Helpful Favorable Review
Rishab G.
G2 User in Computer Software

Documentation has great explanation and is very easy to implement.

Screenshots

 No screenshots providedNo screenshots providedNo screenshots provided
Pybrain
No screenshots provided
XGBoost
No screenshots provided
scikit-learn
No screenshots provided
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