Best Machine Learning Software - Page 6

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 1,043

Category Stats (Oct 2026)

  • Average Rating: 4.34/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Modal Labs (+3.52%) - Among all products in this category, Modal Labs recorded the largest rating increase compared to last month

Last updated: October 13, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,300+ Authentic Reviews
  • 1,043+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Machine Learning Software

G2 Grid® for Machine Learning Software plotting products by satisfaction and market presence

Highlighted products: Gemini Enterprise Agent Platform, SAS Viya, Azure OpenAI Service, IBM watsonx.ai, Google Cloud Recommendations AI, Alteryx, Amazon Personalize, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=azure-openai-service&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=google-cloud-recommendations-ai&focus%5B%5D=alteryx&focus%5B%5D=amazon-personalize&focus%5B%5D=dataiku)

Marvin AI

Marvin processes structured data for software development, enhancing your software development process.

Average Rating: 4.3/5.0

Total Reviews: 12

How Do G2 Users Rate Marvin AI?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Quality of Support: 8.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Marvin AI?

Who Uses This Product?

  • Company Size: 50% Small, 33% Medium

What Do G2 Reviewers Say About Marvin AI?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Marvin AI, appreciating its simple integration and user-friendly experience.
  • Users appreciate the simplicity and versatility of Marvin AI, enabling quick app development and easy integration of AI features.
  • Users appreciate the lightweight design and scalability of Marvin AI, enhancing their decision-making experience with ease.
  • Users value the easy integrations with GitHub, making Marvin AI simple to implement and scalable.
  • Users praise Marvin AI for its efficiency in app development, delivering fast and optimized results effortlessly.
Cons
  • Users note a lack of community support and the need for substantial data, which limits Marvin AI's effectiveness.
  • Users note limited community support for Marvin AI compared to other frameworks, hindering assistance and collaboration.
  • Users note limited community support and challenges with data requirements, impacting Marvin AI's effectiveness for smaller projects.
  • Users find the complex implementation of Marvin AI frustrating due to repetitive installation processes through Git.
  • Users find the complex setup of Marvin AI frustrating, often needing to reinstall multiple times through Git.

What Are Recent G2 Reviews of Marvin AI?

OpenVINO Toolkit

An end to end deep learning compiler for inference and training with extensive framework and hardware support

Average Rating: 4.3/5.0

Total Reviews: 8

How Do G2 Users Rate OpenVINO Toolkit?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 8.5/10 (Category avg: 8.5/10)
  • Quality of Support: 8.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind OpenVINO Toolkit?

  • Seller: Intel Corporation
  • Year Founded: 1968
  • HQ Location: Santa Clara, CA
  • Twitter: @intel
    4,467,591 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    111,509 employees on LinkedIn®
  • Ownership: NASDAQ:INTC

Who Uses This Product?

  • Company Size: 50% Medium, 38% Large

What Do G2 Reviewers Say About OpenVINO Toolkit?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration with TensorFlow and PyTorch in OpenVINO Toolkit, enhancing deep AI modeling capabilities.
  • Users find OpenVINO Toolkit to be highly convenient and user-friendly, making it accessible for anyone to utilize.
  • Users appreciate the seamless integration of OpenVINO Toolkit with TensorFlow and PyTorch, enhancing deep learning performance.
  • Users find the Intuitive design of OpenVINO Toolkit exceptionally convenient and accessible for everyone.
Cons
  • Users face integration issues with OpenVINO Toolkit, especially when connecting to other design software and systems.
  • Users highlight compatibility issues with non-Intel architectures and limited support for newer AI frameworks.
  • Users find the complex implementation of OpenVINO Toolkit challenging, especially for non-software engineers and common tasks.
  • Users face dependency issues with OpenVINO Toolkit, complicating integrations with other mechanical design software.
  • Users express the need for better documentation to assist beginners and improve ease of use with OpenVINO Toolkit.

What Are Recent G2 Reviews of OpenVINO Toolkit?

ml.js

ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate ml.js?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.7/10)
  • Ease of Use: 8.6/10 (Category avg: 8.5/10)
  • Quality of Support: 8.1/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind ml.js?

Who Uses This Product?

  • Company Size: 64% Medium, 27% Small

What Are Recent G2 Reviews of ml.js?

What Are G2 Users Discussing About ml.js?

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Scibids

Scibids is a SaaS platform solving algorithmic trading challenge on behalf of the media buyers.

Average Rating: 4.5/5.0

Total Reviews: 7

How Do G2 Users Rate Scibids?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.7/10)
  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Scibids?

  • Seller: Scibids
  • Year Founded: 2016
  • HQ Location: New York, New York, United States
  • LinkedIn® Page: www.linkedin.com
    1,358 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 43% Medium, 43% Small

What Do G2 Reviewers Say About Scibids?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Scibids, finding it highly efficient for streamlining vendor searches and quotes.
  • Users value the enhanced productivity from Scibids, as it streamlines vendor searches and accelerates decision-making.
  • Users find that the AI technology in Scibids enhances their digital marketing efforts, making advertising more professional.
  • Users find that Scibids significantly enhances business growth by simplifying digital marketing and enabling professional advertising.
  • Users value the data visualization features of Scibids, enhancing clarity and efficiency in their decision-making process.
Cons
  • Users find the costly pricing of Scibids to be a significant downside affecting overall value.
  • Users note missing features and slow vendor responses, impacting usability and the experience for newcomers on Scibids.
  • Users find some features to be not intuitive, especially for first-time users, affecting ease of use.
  • Users experience slow performance with vendor response times and find some features less intuitive initially.

What Are Recent G2 Reviews of Scibids?

BMC AMI Data

BMC AMI Data is an intelligent data management and optimization solution for IBM Z environments. It helps enterprises manage, protect, and optimize mission-critical mainframe data while reducing operational complexity, cost, and risk. BMC AMI Data leverages automation, advanced analytics, and predictive insights to streamline data maintenance, improve performance, and ensure the availability of critical workloads across Db2, IMS, VSAM, and related systems. The solution enables data teams to move from reactive management to proactive, insights-driven operations. Key capabilities include: - Automated data management and maintenance to reduce manual effort and improve operational efficiency - Real-time analytics and predictive insights to optimize performance and anticipate issues before they impact workloads - CPU and resource optimization to control costs and improve system efficiency at scale - Data protection and risk reduction to safeguard critical information and maintain data integrity - Support for modernization initiatives by simplifying how mainframe data is managed and integrated with evolving business needs - On-platform processing that keeps data secure and managed directly within the IBM Z environment By modernizing mainframe data management with automation and intelligence, BMC AMI Data helps organizations control data growth, reduce operational risk, and ensure high-performance delivery of always-on, business-critical applications.

Average Rating: 4.4/5.0

Total Reviews: 62

How Do G2 Users Rate BMC AMI Data?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.7/10)
  • Ease of Use: 8.5/10 (Category avg: 8.5/10)
  • Quality of Support: 8.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind BMC AMI Data?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • Twitter: @BMCSoftware
    47,946 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Large, 34% Small

What Do G2 Reviewers Say About BMC AMI Data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the analytics capabilities of BMC AMI Data, enhancing database management and decision-making processes.
  • Users value the automation features of BMC AMI Data, enhancing integration and ensuring quality standards are met.
  • Users appreciate the user-friendly interface of BMC AMI Data, finding it easy to navigate and utilize effectively.
  • Users appreciate the easy integrations with tools like Jenkins and UrbanCode, enhancing workflow efficiency and compatibility.
  • Users appreciate the automation and monitoring features of BMC AMI Data, enhancing database management efficiency and usability.
Cons
  • Users are concerned about the high expense of BMC AMI Data, which may deter budget-conscious clients.
  • Users report installation difficulties with BMC AMI Data, impacting their ability to effectively set up the system.
  • Users report a significant learning curve with BMC AMI Data, making initial use challenging for many.
  • Users find limited compatibility with older Db2 systems, which hampers the overall integration experience with BMC AMI Data.
  • Users express concerns about the limited customization options in BMC AMI Data, affecting their ability to adapt the product.

What Are Recent G2 Reviews of BMC AMI Data?

What Are G2 Users Discussing About BMC AMI Data?

Gymnasium

OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms that supports teaching agents everything from walking to playing games like Pong or Go.

Average Rating: 4.3/5.0

Total Reviews: 6

How Do G2 Users Rate Gymnasium?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 7.8/10 (Category avg: 8.5/10)
  • Quality of Support: 7.2/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Gymnasium?

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Do G2 Reviewers Say About Gymnasium?

AI-generated summary from verified user reviews

Pros
  • Users value the AI Technology of Gymnasium, finding it essential for advancing their reinforcement learning research.
  • Users find Gymnasium to be an excellent platform for problem solving, significantly aiding their research activities.
Cons
  • Users find the complex implementation challenging, especially for newcomers and in multi-agent environments.
  • Users find the limited features of Gymnasium challenging, especially in a multi-agent environment and for beginners.
  • Users find the limited support for multi-agent environments challenging, especially as newcomers to the product.

What Are Recent G2 Reviews of Gymnasium?

What Are G2 Users Discussing About Gymnasium?

Prolific

Prolific is helping research teams build a better world with better data. Our platform makes it easy to access high-quality data from 200k+ diverse, vetted participants.

Average Rating: 4.6/5.0

Total Reviews: 202

How Do G2 Users Rate Prolific?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.7/10)
  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Quality of Support: 7.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Prolific?

  • Seller: Prolific
  • Company Website:
  • Year Founded: 2014
  • HQ Location: London, England
  • Twitter: @Prolific
    13,812 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,457 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Assistant Professor, Associate Professor
  • Top Industries: Higher Education, Research
  • Company Size: 40% Large, 37% Small

What Do G2 Reviewers Say About Prolific?

AI-generated summary from verified user reviews

Pros
  • Users find Prolific to provide ease of use with its intuitive platform and effective participant recruitment tools.
  • Users appreciate the efficient participant recruitment on Prolific, ensuring quick access to high-quality, engaged participants.
  • Users value the high-quality participants recruited through Prolific, enhancing the reliability of their research outcomes.
  • Users value the strong participant engagement on Prolific, enhancing research quality through targeted and trusted recruitment.
  • Users commend the excellent customer support of Prolific, highlighting its helpfulness and responsiveness in resolving issues.
Cons
  • Users find Prolific's fees to be expensive, particularly challenging for smaller projects and participants' payment expectations.
  • Users often find participant management challenging, facing issues with retention and setup complexities on Prolific.
  • Users find the limited features of Prolific, especially in participant screening, frustrating and lacking essential options.
  • Users experience poor customer support, with slow response times and unhelpful resolutions causing frustration and delays.
  • Users feel that the built-in survey features are limited, needing enhancements for better usability and effectiveness.

What Are Recent G2 Reviews of Prolific?

Recombee

We provide personalized content, product, and search recommendations as a service to increase our clients’ revenues, increase their user satisfaction and help their businesses grow. Using our simple-to-use integration, our users can enjoy a hands-on experience with our services by joining a 30-day unlimited free trial. Based in Prague, we serve over 300+ satisfied clients around the globe who are happy to share their experiences.

Average Rating: 4.6/5.0

Total Reviews: 22

How Do G2 Users Rate Recombee?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Quality of Support: 9.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Recombee?

  • Seller: Recombee
  • Year Founded: 2015
  • HQ Location: Prague, Prague
  • Twitter: @recombee
    191 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    47 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 65% Small, 30% Medium

What Are Recent G2 Reviews of Recombee?

What Are G2 Users Discussing About Recombee?

Aidaptive

Founded by the former Google AI team behind Google Ads and Payments, Aidaptive is powering the next generation of digital commerce with an enterprise-grade artificial intelligence, machine learning, and predictive analytics digital commerce AI platform. Trusted by industry-leading retailers and direct-to-consumer ecommerce brands, Aidaptive enables businesses to deliver personalized experiences at scale while optimizing conversion rates automatically. For more information, please visit https://aidaptive.com

Average Rating: 4.5/5.0

Total Reviews: 11

How Do G2 Users Rate Aidaptive?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.7/10)
  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Quality of Support: 9.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Aidaptive?

  • Seller: Aidaptive
  • Year Founded: 2021
  • HQ Location: Cupertino, CA
  • Twitter: @aidaptive_
    117 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 82% Small, 9% Large

What Are Recent G2 Reviews of Aidaptive?

Apache SystemML

Apache SystemML is a machine learning platform optimal for big data that provides an optimal workplace for machine learning using big data, it can be run on top of Apache Spark, where it automatically scales your data, line by line, determining whether your code should be run on the driver or an Apache Spark cluster.

Average Rating: 4.4/5.0

Total Reviews: 5

How Do G2 Users Rate Apache SystemML?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Apache SystemML?

Who Uses This Product?

  • Company Size: 60% Medium, 20% Large

What Are Recent G2 Reviews of Apache SystemML?

What Are G2 Users Discussing About Apache SystemML?

Cognitive Twin

Provide cognitive twin solution and has been working with well-known data centre operators in the APAC market, ranging from hyperscale to colocation and enterprise data centre customers

Average Rating: 4.6/5.0

Total Reviews: 5

How Do G2 Users Rate Cognitive Twin?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Quality of Support: 9.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Cognitive Twin?

Who Uses This Product?

  • Company Size: 60% Small, 40% Medium

What Are Recent G2 Reviews of Cognitive Twin?

Feature Forge

Feature Forge is a set of tools for creating and testing machine learning features, with a scikit-learn compatible API

Average Rating: 4.2/5.0

Total Reviews: 5

How Do G2 Users Rate Feature Forge?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 7.7/10 (Category avg: 8.5/10)
  • Quality of Support: 7.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Feature Forge?

Who Uses This Product?

  • Company Size: 40% Large, 40% Small

What Do G2 Reviewers Say About Feature Forge?

AI-generated summary from verified user reviews

Pros
  • Users find the superior machine learning capabilities of Feature Forge essential for analyzing diverse datasets effectively.
  • Users praise Feature Forge for its effective problem-solving capabilities, enhancing their data analysis experiences significantly.
Cons
  • Users find the documentation lacking, which hampers their experience despite the product's other strengths.

What Are Recent G2 Reviews of Feature Forge?

What Are G2 Users Discussing About Feature Forge?

Forwrd

Struggling to keep your scoring models up to date every time marketing campaigns or product features are launched? Meet Forwrd, the easiest way to build accurate scoring models that literally become smarter every day, learning from new data in real time. Build a self-learning scoring model that automatically identifies new conversion-impacting factors in your data and updates itself, without any manual work. Scores can be pushed into the business apps employees use daily (e.g., SFDC, HubSpot, Slack) to enable frontline employees to focus on their best prospects and customers. ✅ No more manual updates to your scoring method as your marketing evolves. ✅ Your model gets smarter every day by learning from fresh data. ✅ Accurate scoring means focusing on your AAA leads. ✅ Connect your CRM, HubSpot, product analytics, ticketing system, and more! ✅ No need for analysts or data teams. There's a reason B2B SaaS leaders like Jasper.ai, AppsFlyer, and WalkMe use Forwrd to focus on their best leads, MQLs, PQLs, SQLs, and customers. – "4X more PQLs", PowToon – "48% more opportunities", AppsFlyer – "21% more qualified pipeline", Totango – "31% better retention", WalkMe

Average Rating: 4.8/5.0

Total Reviews: 32

How Do G2 Users Rate Forwrd?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 8.7/10)
  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Quality of Support: 9.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Forwrd?

  • Seller: Forwrd
  • Year Founded: 2021
  • HQ Location: Tel Aviv-Yafo, IL
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 66% Medium, 16% Large

What Do G2 Reviewers Say About Forwrd?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Forwrd, praising its intuitive interface and streamlined onboarding process.
  • Users love the ease of building machine learning models with Forwrd, allowing for quick iterations and accurate results.
  • Users commend Forwrd for its seamless onboarding and integration, alongside exceptional support and intuitive data analysis tools.
  • Users find Forwrd's intuitive dashboard incredibly helpful for easy model iteration and effective data quality assessment.
  • Users rave about the automation capabilities of Forwrd, enabling swift and efficient machine learning model creation without coding.
Cons
  • Users often face learning difficulties with unclear definitions and require assistance to fully utilize Forwrd's features.

What Are Recent G2 Reviews of Forwrd?

Scale GenAI Platform

Build organizationally intelligent agents faster. Scale GenAI Platform is a comprehensive toolset to use your data to build, control, and improve your agents and AI solutions. Build AI applications and complex multi-agent systems, train agents to reason over your enterprise data, take action with your tools, and continuously improve with feedback from human-agent interactions with our Agent Monitoring Protocol.

Average Rating: 4.4/5.0

Total Reviews: 5

How Do G2 Users Rate Scale GenAI Platform?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Quality of Support: 9.2/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Scale GenAI Platform?

  • Seller: Scale AI
  • Year Founded: 2016
  • HQ Location: San Francisco, California, United States
  • Twitter: @scale_AI
    75,618 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,533 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 50% Medium

What Do G2 Reviewers Say About Scale GenAI Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the end-to-end workflow support of Scale GenAI Platform for efficiently building and deploying generative AI models.
  • Users value the comprehensive community support of Scale GenAI Platform, enhancing their experience with collaborative resources and guidance.
  • Users value the end-to-end workflow support of Scale GenAI Platform, streamlining model building and deployment processes effectively.
  • Users appreciate the end-to-end workflow support of Scale GenAI Platform, simplifying generative AI model management and deployment.
  • Users appreciate the end-to-end workflow support of Scale GenAI Platform, enabling efficient generative AI model deployment.
Cons
  • Users find the Scale GenAI Platform expensive and better suited for larger enterprises, leaving smaller teams feeling unsupported.
  • Users find the expensive subscriptions of Scale GenAI Platform overwhelming, especially for smaller teams and new users.
  • Users feel that the limited access can overwhelm smaller teams and complicate the ramp-up experience for new users.
  • Users note a lack of features for smaller teams, which can lead to feelings of being overwhelmed or under-supported.
  • Users note the limited options available, which may overwhelm smaller teams and hinder their experience with the platform.

What Are Recent G2 Reviews of Scale GenAI Platform?

Simple Bayes

Simple Bayes is a Naive Bayes machine learning implementation in Elixir.

Average Rating: 4.4/5.0

Total Reviews: 5

How Do G2 Users Rate Simple Bayes?

  • Ease of Use: 9.4/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)

Who Is the Company Behind Simple Bayes?

Who Uses This Product?

  • Company Size: 80% Medium, 20% Large

What Are Recent G2 Reviews of Simple Bayes?

What Are G2 Users Discussing About Simple Bayes?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026