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Compare BigML and scikit-learn 
Featured Products
At a Glance
Market Segments
Small-Business (87.5% of reviews)
Enterprise (40.0% of reviews)
Entry-Level Pricing
$30 per month
No pricing available
BigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
$30 per month
Browse all 3 pricing plansscikit-learn
Star Rating
(60)4.8 out of 5
Market Segments
Enterprise (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about scikit-learnBigML vs scikit-learn
When assessing the two solutions, reviewers found scikit-learn easier to use, set up, and administer. Reviewers also preferred doing business with scikit-learn overall.
- Reviewers felt that scikit-learn meets the needs of their business better than BigML.
- When comparing quality of ongoing product support, reviewers felt that BigML is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of BigML over scikit-learn.
Pricing
Entry-Level Pricing
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
scikit-learn
No pricing availableFree Trial
BigML
No trial information availablescikit-learn
No trial information availableRatings
Meets Requirements
9.2
24
9.6
53
Ease of Use
9.0
24
9.6
53
Ease of Setup
9.2
22
9.6
41
Ease of Admin
9.3
22
9.4
39
Quality of Support
9.5
22
9.4
49
Has the product been a good partner in doing business?
9.1
22
9.2
35
Product Direction (% positive)
9.5
24
9.3
53
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
BigML and scikit-learn share no categories
Unique Categories
BigML is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, and Low-Code Machine Learning Platforms
scikit-learn is categorized as Machine Learning
Reviews
Reviewers' Company Size
BigML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
scikit-learn
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
83.3%
Management Consulting
4.2%
International Trade and Development
4.2%
Electrical/Electronic Manufacturing
4.2%
Alternative Dispute Resolution
4.2%
Other
0.0%
Computer Software
35.0%
Information Technology and Services
16.7%
Higher Education
11.7%
Computer & Network Security
6.7%
Hospital & Health Care
5.0%
Other
25.0%
Discussions
BigML has no discussions with answers
What is scikit-learn used for?
2 Comments
MS
Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine...Read more
What is Python Scikit learn?
1 Comment
RA
It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
scikit-learn has no more discussions with answers
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