Best Machine Learning Software - Page 3

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Machine learning software leverages algorithms to automate complex decision-making and generate predictions, eliminating the need for manual rule configuration. Machine learning solutions improve the speed and accuracy of desired outputs by constantly refining them as the application digests more training data. Machine learning software improves processes and introduces efficiency in multiple industries, ranging from financial services to agriculture. Common applications include process automation, customer service, security risk identification, and contextual collaboration.

Notably, end users of machine learning-powered applications do not interact with the algorithm directly. Instead, machine learning powers the backend of the artificial intelligence (AI) that users interact with. Machine learning platforms function differently from machine learning operationalization (MLOps) platforms by focusing on model development and training rather than deployment monitoring and lifecycle management.

To qualify for inclusion in the Machine Learning category, a product must:

Offer an algorithm that learns and adapts based on data
Consume data inputs from a variety of data pools
Ingest data from structured, unstructured, or streaming sources, including local files, cloud storage, databases, or APIs
Be the source of intelligent learning capabilities for applications
Provide an output that solves a specific issue based on the learned data
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Featured Machine Learning Software At A Glance

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Alteryx
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Easiest to Use:
Top Trending:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
355 Listings in Machine Learning Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Crossing Minds is the smartest platform powering perceptive recommendations that drive online discovery and engagement. Founded and led by world-renowned AI pioneers and powered by the latest advances

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 48% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crossing Minds features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.7
    9.7
    Ease of Use
    Average: 8.4
    9.8
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    San Francisco, US
    Twitter
    @crossing_minds
    1,147 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crossing Minds is the smartest platform powering perceptive recommendations that drive online discovery and engagement. Founded and led by world-renowned AI pioneers and powered by the latest advances

Users
No information available
Industries
No information available
Market Segment
  • 48% Mid-Market
  • 40% Small-Business
Crossing Minds features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.7
9.7
Ease of Use
Average: 8.4
9.8
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2017
HQ Location
San Francisco, US
Twitter
@crossing_minds
1,147 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Black Crow AI is a Shopify app that predicts shopping behavior patterns to efficiently acquire and reach more customers across digital marketing channels. We empower e-commerce brand growth by unlocki

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Black Crow AI features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.7
    9.8
    Ease of Use
    Average: 8.4
    10.0
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    New York, NY
    Twitter
    @BlackCrowAI
    297 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    95 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Black Crow AI is a Shopify app that predicts shopping behavior patterns to efficiently acquire and reach more customers across digital marketing channels. We empower e-commerce brand growth by unlocki

Users
No information available
Industries
No information available
Market Segment
  • 58% Small-Business
  • 33% Mid-Market
Black Crow AI features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.7
9.8
Ease of Use
Average: 8.4
10.0
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
HQ Location
New York, NY
Twitter
@BlackCrowAI
297 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
G2 Advertising
Sponsored
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Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 61% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    13
    Model Variety
    11
    AI Technology
    9
    Ease of Use
    9
    User Interface
    9
    Cons
    Expensive
    8
    Complexity
    4
    Poor UI Design
    4
    UX Improvement
    4
    Difficult Learning
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.2
    Ease of Use
    Average: 8.4
    8.1
    Quality of Support
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,795 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    93 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 61% Small-Business
  • 27% Mid-Market
Clarifai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
13
Model Variety
11
AI Technology
9
Ease of Use
9
User Interface
9
Cons
Expensive
8
Complexity
4
Poor UI Design
4
UX Improvement
4
Difficult Learning
3
Clarifai features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
8.2
Ease of Use
Average: 8.4
8.1
Quality of Support
Average: 8.4
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Clarifai
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,795 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MLBase.jl is a swiss knife for machine learning that does not implement specific machine learning algorithms, instead, it provides a collection of useful tools to support machine learning programs, in

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Small-Business
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MLBase.jl Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Machine Learning
    2
    Model Variety
    2
    Problem Solving
    2
    Productivity Improvement
    2
    Cons
    Complex Implementation
    3
    Complexity
    2
    Poor Documentation
    2
    Complex Setup
    1
    Difficult Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLBase.jl features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Ease of Use
    Average: 8.4
    7.5
    Quality of Support
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLBase.jl
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MLBase.jl is a swiss knife for machine learning that does not implement specific machine learning algorithms, instead, it provides a collection of useful tools to support machine learning programs, in

Users
No information available
Industries
No information available
Market Segment
  • 55% Small-Business
  • 36% Mid-Market
MLBase.jl Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Machine Learning
2
Model Variety
2
Problem Solving
2
Productivity Improvement
2
Cons
Complex Implementation
3
Complexity
2
Poor Documentation
2
Complex Setup
1
Difficult Navigation
1
MLBase.jl features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.7
8.5
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
MLBase.jl
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Figaro is a probabilistic programming language that supports development of very rich probabilistic models and provides reasoning algorithms that can be applied to models to draw useful conclusions fr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Small-Business
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Figaro features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.7
    9.7
    Ease of Use
    Average: 8.4
    7.9
    Quality of Support
    Average: 8.4
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Figaro
    HQ Location
    N
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Figaro is a probabilistic programming language that supports development of very rich probabilistic models and provides reasoning algorithms that can be applied to models to draw useful conclusions fr

Users
No information available
Industries
No information available
Market Segment
  • 55% Small-Business
  • 27% Mid-Market
Figaro features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.7
9.7
Ease of Use
Average: 8.4
7.9
Quality of Support
Average: 8.4
8.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Figaro
HQ Location
N
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(10)4.6 out of 5
2nd Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Crab as known as scikits.recommender is a Python framework for building recommender engines that integrate with the world of scientific Python packages (numpy, scipy, matplotlib), provide a rich set o

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Small-Business
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crab features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.7
    Ease of Use
    Average: 8.4
    9.3
    Quality of Support
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Crab
    Year Founded
    2012
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    23 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crab as known as scikits.recommender is a Python framework for building recommender engines that integrate with the world of scientific Python packages (numpy, scipy, matplotlib), provide a rich set o

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Small-Business
  • 40% Mid-Market
Crab features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 8.7
8.7
Ease of Use
Average: 8.4
9.3
Quality of Support
Average: 8.4
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Crab
Year Founded
2012
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
23 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    rapaio is a statistics, data mining and machine learning toolbox

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • rapaio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Machine Learning
    2
    Analytics
    1
    Customer Support
    1
    Easy Setup
    1
    Cons
    AI Limitations
    1
    Difficult Learning
    1
    Difficulty for Beginners
    1
    Limited Diversity
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • rapaio features and usability ratings that predict user satisfaction
    5.0
    Has the product been a good partner in doing business?
    Average: 8.7
    7.7
    Ease of Use
    Average: 8.4
    6.9
    Quality of Support
    Average: 8.4
    5.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    rapaio
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

rapaio is a statistics, data mining and machine learning toolbox

Users
No information available
Industries
No information available
Market Segment
  • 60% Small-Business
  • 40% Mid-Market
rapaio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Machine Learning
2
Analytics
1
Customer Support
1
Easy Setup
1
Cons
AI Limitations
1
Difficult Learning
1
Difficulty for Beginners
1
Limited Diversity
1
Missing Features
1
rapaio features and usability ratings that predict user satisfaction
5.0
Has the product been a good partner in doing business?
Average: 8.7
7.7
Ease of Use
Average: 8.4
6.9
Quality of Support
Average: 8.4
5.8
Ease of Admin
Average: 8.5
Seller Details
Seller
rapaio
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    warpt-ctc is a loss function useful for performing supervised learning on sequence data, without needing an alignment between input data and labels that can be used to train end-to-end systems for spe

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Mid-Market
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • warpt-ctc features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.7
    7.7
    Ease of Use
    Average: 8.4
    7.5
    Quality of Support
    Average: 8.4
    5.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Baidu
    Year Founded
    2000
    HQ Location
    Beijing, China
    LinkedIn® Page
    www.linkedin.com
    26,217 employees on LinkedIn®
    Ownership
    NASDAQ:BIDU
    Total Revenue (USD mm)
    $107,074
Product Description
How are these determined?Information
This description is provided by the seller.

warpt-ctc is a loss function useful for performing supervised learning on sequence data, without needing an alignment between input data and labels that can be used to train end-to-end systems for spe

Users
No information available
Industries
No information available
Market Segment
  • 36% Mid-Market
  • 36% Small-Business
warpt-ctc features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.7
7.7
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
5.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Baidu
Year Founded
2000
HQ Location
Beijing, China
LinkedIn® Page
www.linkedin.com
26,217 employees on LinkedIn®
Ownership
NASDAQ:BIDU
Total Revenue (USD mm)
$107,074
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BMC AMI DevX is a comprehensive suite of mainframe application development, testing, and DevOps enablement tools designed for IBM Z environments. It helps organizations modernize mainframe development

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 51% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BMC AMI DevX features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.2
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    8.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1980
    HQ Location
    Houston, TX
    Twitter
    @BMCSoftware
    48,138 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,037 employees on LinkedIn®
    Phone
    713 918 8800
Product Description
How are these determined?Information
This description is provided by the seller.

BMC AMI DevX is a comprehensive suite of mainframe application development, testing, and DevOps enablement tools designed for IBM Z environments. It helps organizations modernize mainframe development

Users
No information available
Industries
No information available
Market Segment
  • 51% Enterprise
  • 33% Mid-Market
BMC AMI DevX features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
8.2
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
8.2
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1980
HQ Location
Houston, TX
Twitter
@BMCSoftware
48,138 Twitter followers
LinkedIn® Page
www.linkedin.com
9,037 employees on LinkedIn®
Phone
713 918 8800
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SuperLearner is a package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 38% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SuperLearner features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.7
    9.3
    Ease of Use
    Average: 8.4
    8.5
    Quality of Support
    Average: 8.4
    5.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Miami, US
    LinkedIn® Page
    www.linkedin.com
    1,281 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SuperLearner is a package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

Users
No information available
Industries
No information available
Market Segment
  • 38% Small-Business
  • 31% Enterprise
SuperLearner features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.7
9.3
Ease of Use
Average: 8.4
8.5
Quality of Support
Average: 8.4
5.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2018
HQ Location
Miami, US
LinkedIn® Page
www.linkedin.com
1,281 employees on LinkedIn®
(15)4.4 out of 5
12th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 40% Enterprise
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Torch features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.4
    8.1
    Quality of Support
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    San Francisco, US
    Twitter
    @torchlabs
    3,083 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    379 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 40% Enterprise
  • 40% Small-Business
Torch features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.7
8.9
Ease of Use
Average: 8.4
8.1
Quality of Support
Average: 8.4
8.3
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2017
HQ Location
San Francisco, US
Twitter
@torchlabs
3,083 Twitter followers
LinkedIn® Page
www.linkedin.com
379 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 60% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Model Manager Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Model Management
    5
    Model Variety
    5
    Analytics
    3
    Data Management
    2
    Ease of Use
    2
    Cons
    Complexity
    2
    Expensive
    2
    Integration Issues
    2
    Learning Curve
    2
    Complexity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Model Manager features and usability ratings that predict user satisfaction
    7.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.0
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    7.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,101 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,238 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 60% Enterprise
  • 26% Small-Business
SAS Model Manager Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Model Management
5
Model Variety
5
Analytics
3
Data Management
2
Ease of Use
2
Cons
Complexity
2
Expensive
2
Integration Issues
2
Learning Curve
2
Complexity Issues
1
SAS Model Manager features and usability ratings that predict user satisfaction
7.9
Has the product been a good partner in doing business?
Average: 8.7
8.0
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
7.3
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,101 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    go-galib is a genetic algorithms for Go/Golang

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 43% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Genetic Algorithms for Go/Golang features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.7
    8.1
    Ease of Use
    Average: 8.4
    7.6
    Quality of Support
    Average: 8.4
    7.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

go-galib is a genetic algorithms for Go/Golang

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 43% Enterprise
Genetic Algorithms for Go/Golang features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.7
8.1
Ease of Use
Average: 8.4
7.6
Quality of Support
Average: 8.4
7.5
Ease of Admin
Average: 8.5
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(53)4.7 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kili Technology is a collaborative AI data platform designed to assist enterprise customers in creating production-ready AI training data. Founded in Paris in 2018, Kili Technology caters to a diverse

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 36% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kili Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    API Quality
    2
    API Usability
    2
    Collaboration
    2
    Data Labeling
    2
    Data Management
    2
    Cons
    Annotation Issues
    1
    Complex Implementation
    1
    Inefficient Labeling
    1
    Lacking Features
    1
    Lack of Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kili features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.4
    9.5
    Quality of Support
    Average: 8.4
    9.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    Paris, FR
    Twitter
    @Kili_Technology
    447 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    51 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kili Technology is a collaborative AI data platform designed to assist enterprise customers in creating production-ready AI training data. Founded in Paris in 2018, Kili Technology caters to a diverse

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 36% Mid-Market
  • 34% Small-Business
Kili Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
API Quality
2
API Usability
2
Collaboration
2
Data Labeling
2
Data Management
2
Cons
Annotation Issues
1
Complex Implementation
1
Inefficient Labeling
1
Lacking Features
1
Lack of Features
1
Kili features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
8.8
Ease of Use
Average: 8.4
9.5
Quality of Support
Average: 8.4
9.3
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2018
HQ Location
Paris, FR
Twitter
@Kili_Technology
447 Twitter followers
LinkedIn® Page
www.linkedin.com
51 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clusteri

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLlib features and usability ratings that predict user satisfaction
    7.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.4
    7.3
    Quality of Support
    Average: 8.4
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,976 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clusteri

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 29% Enterprise
MLlib features and usability ratings that predict user satisfaction
7.6
Has the product been a good partner in doing business?
Average: 8.7
8.8
Ease of Use
Average: 8.4
7.3
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,976 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®