Introducing G2.ai, the future of software buying.Try now

Compare Naive Bayesian Classification for Golang and scikit-learn

Save
    Log in to your account
    to save comparisons,
    products and more.
At a Glance
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang
Star Rating
(13)4.2 out of 5
Market Segments
Small-Business (46.2% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Naive Bayesian Classification for Golang
scikit-learn
scikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about scikit-learn
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Naive Bayesian Classification for Golang has a strong focus on small-business applications, making it particularly appealing for startups and smaller teams, while scikit-learn is favored by enterprise users, as indicated by its larger market segment of 40.7% of reviews.
  • Reviewers mention that scikit-learn excels in ease of setup with a score of 9.6, which is higher than Naive Bayesian Classification for Golang, suggesting that users find it more straightforward to implement in their projects.
  • G2 users highlight the quality of support for scikit-learn, scoring 9.4, compared to Naive Bayesian Classification for Golang's lower score of 7.4, indicating that users may find more reliable assistance and resources with scikit-learn.
  • Users on G2 report that both products meet requirements equally well, with a score of 9.6, but scikit-learn shines in product direction with a score of 9.3, suggesting a more positive outlook on future updates and features.
  • Reviewers mention that Naive Bayesian Classification for Golang is particularly praised for its lightweight nature and performance in specific use cases, while scikit-learn is recognized for its extensive library of algorithms and flexibility in machine learning tasks.
  • Users say that scikit-learn's integration capabilities are robust, allowing for seamless connections with other data science tools, which is a significant advantage over Naive Bayesian Classification for Golang, which may have more limited integration options.
Pricing
Entry-Level Pricing
Naive Bayesian Classification for Golang
No pricing available
scikit-learn
No pricing available
Free Trial
Naive Bayesian Classification for Golang
No trial information available
scikit-learn
No trial information available
Ratings
Meets Requirements
9.6
8
9.6
52
Ease of Use
9.2
8
9.6
52
Ease of Setup
Not enough data
9.6
40
Ease of Admin
Not enough data
9.4
39
Quality of Support
7.4
7
9.4
48
Has the product been a good partner in doing business?
Not enough data
9.2
35
Product Direction (% positive)
8.5
8
9.3
52
Features by Category
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
Categories
Categories
Shared Categories
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang
scikit-learn
scikit-learn
Naive Bayesian Classification for Golang and scikit-learn are categorized as Machine Learning
Unique Categories
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang has no unique categories
scikit-learn
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang
Small-Business(50 or fewer emp.)
46.2%
Mid-Market(51-1000 emp.)
38.5%
Enterprise(> 1000 emp.)
15.4%
scikit-learn
scikit-learn
Small-Business(50 or fewer emp.)
28.8%
Mid-Market(51-1000 emp.)
30.5%
Enterprise(> 1000 emp.)
40.7%
Reviewers' Industry
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang
Computer Software
30.8%
Wholesale
7.7%
Research
7.7%
Management Consulting
7.7%
Hospitality
7.7%
Other
38.5%
scikit-learn
scikit-learn
Computer Software
35.6%
Information Technology and Services
16.9%
Higher Education
10.2%
Computer & Network Security
6.8%
Hospital & Health Care
5.1%
Other
25.4%
Alternatives
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang Alternatives
Vertex AI
Vertex AI
Add Vertex AI
Automation Anywhere
Automation Anywhere
Add Automation Anywhere
Demandbase One
Demandbase One
Add Demandbase One
Phrase Localization Platform
Phrase Localization Platform
Add Phrase Localization Platform
scikit-learn
scikit-learn Alternatives
MLlib
MLlib
Add MLlib
Weka
Weka
Add Weka
Google Cloud TPU
Google Cloud TPU
Add Google Cloud TPU
XGBoost
XGBoost
Add XGBoost
Discussions
Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang Discussions
Monty the Mongoose crying
Naive Bayesian Classification for Golang has no discussions with answers
scikit-learn
scikit-learn Discussions
What is scikit-learn used for?
2 Comments
Madhusmita S.
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
rehan a.
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
Monty the Mongoose crying
scikit-learn has no more discussions with answers