Best Machine Learning Software - Page 6

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 1,247

Category Stats (Nov 2026)

  • Average Rating: 4.34/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Modal Labs (+1.96%) - Among all products in this category, Modal Labs recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 18,200+ Authentic Reviews
  • 1,247+ 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 platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Google Cloud Recommendations AI, Alteryx, Amazon Personalize, and Google Cloud TPU.

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

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 find Marvin AI to be very easy to integrate, enhancing their experience with seamless functionality.
  • Users appreciate the simplicity and versatility of Marvin AI, allowing for quick and easy app development.
  • Users appreciate the ease of use and support provided by Marvin AI, making it a valuable tool for analysis.
  • Users value the lightweight design of Marvin AI, enhancing scalability while ensuring a user-friendly experience for AI integration.
  • Users find easy integrations with Marvin AI simple and efficient, enhancing their workflow and productivity.
Cons
  • Users note the limited community support and potential data requirements, which can hinder effectiveness for smaller projects.
  • Users note the limited community support for Marvin AI, which can hinder assistance and guidance for projects.
  • Users note the usage limitations of Marvin AI, especially when data is insufficient for optimal functionality.
  • Users find the complex implementation of Marvin AI frustrating, particularly with multiple installation attempts through Git.
  • Users find the complex setup process frustrating, having to reinstall Marvin AI 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
  • LinkedIn® Page: www.linkedin.com
    111,509 employees on LinkedIn®
  • Ownership: NASDAQ:INTC
  • Total Revenue (USD mm): $77,867

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 enjoy the seamless integration with AI technologies offered by OpenVINO Toolkit, enhancing their deep learning projects.
  • Users find OpenVINO Toolkit to be highly convenient and user-friendly, making it accessible for anyone to utilize.
  • Users appreciate the seamless integrations of OpenVINO Toolkit with TensorFlow and PyTorch, enhancing deep learning model optimization.
  • Users find the Intuitive design of OpenVINO Toolkit exceptionally convenient and accessible for everyone.
Cons
  • Users face integration issues with OpenVINO Toolkit, particularly with mechanical design software and non-Intel architecture.
  • Users face compatibility issues with non-Intel architectures and experience limited support for newer AI frameworks.
  • Users find the complex implementation of OpenVINO Toolkit challenging, especially for those without a software engineering background.
  • Users experience dependency issues with OpenVINO Toolkit, complicating integration with other software tools.
  • Users suggest the need for better documentation, especially for beginners struggling to utilize OpenVINO Toolkit effectively.

What Are Recent G2 Reviews of OpenVINO Toolkit?

hrflow.ai

HrFlow.ai is an AI-powered HR data automation platform designed to unify, process, and orchestrate talent and workforce data. By leveraging advanced artificial intelligence, HrFlow.ai enables staffing agencies, HR tech companies, and large employers to thrive in a high-frequency labor market. The platform offers a comprehensive suite of APIs and over 200 connectors, facilitating seamless integration and automation of HR workflows. Key Features and Functionality: - Parsing API: Transforms resumes, job offers, and HR documents into structured JSON formats, enabling efficient data processing. - Tagging API: Enriches profiles and job offers by identifying implicit hard and soft skills, enhancing candidate evaluation. - Embedding API: Generates numerical vectors representing HR objects, facilitating similarity analysis and machine learning model development. - Searching API: Retrieves highly relevant profiles or job offers swiftly, improving recruitment efficiency. - Scoring API: Discovers hidden talents and recommends overlooked job opportunities through advanced matching algorithms. - Upskilling API: Analyzes skills gaps to unlock potential and guide professional development. - AI Widgets: Offers tools like the Recruiter Copilot and Talent Copilot to enhance user experiences for recruiters and job seekers. Primary Value and Solutions Provided: HrFlow.ai addresses the complexities of managing vast amounts of HR data by automating and optimizing talent acquisition and management processes. For HR software vendors, it delivers AI-powered applications and experiences, accelerating product development. Staffing agencies benefit from increased revenue and client retention through efficient candidate matching and uncovering hidden talents. Large employers and public sectors can power talent management with enhanced data connectivity and insights, leading to improved decision-making and operational efficiency.

Average Rating: 4.7/5.0

Total Reviews: 7

How Do G2 Users Rate hrflow.ai?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.4/10 (Category avg: 8.5/10)
  • Quality of Support: 9.4/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind hrflow.ai?

  • Seller: HrFlow.ai
  • Year Founded: 2016
  • HQ Location: Paris, FR
  • LinkedIn® Page: linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 86% Small, 14% Medium

What Are Recent G2 Reviews of hrflow.ai?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works
Connect G2 to ChatGPTConnect G2 to Claude

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?

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 love the ease of use of Scibids, streamlining vendor searches and simplifying digital marketing for businesses.
  • Users value the productivity improvement offered by Scibids, streamlining vendor searches and facilitating efficient decision-making.
  • Users find that Scibids' AI technology enhances digital marketing, making professional advertising accessible for small businesses.
  • Users find Scibids enhances business growth, enabling professional advertising for small-scale businesses with ease.
  • Users value the effective data visualization in Scibids, which enhances transparency and speeds up vendor selection.
Cons
  • Users feel that the product is expensive, as it requires a significant financial commitment.
  • Users find the missing features frustrating, particularly for newcomers and due to slow vendor response times.
  • Users find the interface not intuitive, especially for newcomers, which can hinder the overall experience initially.
  • Users find the slow performance of vendor response time frustrating, impacting their overall experience with Scibids.

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: 77

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: 8.6/10 (Category avg: 8.5/10)
  • Quality of Support: 8.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.9/10 (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
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®
  • Phone: 713 918 8800

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Large, 32% 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 efficiency and oversight in database management.
  • Users value the seamless automation in BMC AMI Data, enhancing integration and ensuring quality assurance standards.
  • Users appreciate the ease of use in BMC AMI Data, simplifying database administration tasks effectively.
  • Users appreciate the easy integrations of BMC AMI Data, enhancing workflow with tools like Jenkins and UrbanCode Deploy.
  • Users appreciate the automation and proactive monitoring features of BMC AMI Data, enhancing their database administration efficiency.
Cons
  • Users highlight the expensive pricing of BMC AMI Data, which can be a significant barrier for many.
  • Users highlight installation difficulty with BMC AMI Data, noting challenges that complicate initial setup and administration.
  • Users often face a steep learning curve with BMC AMI Data, making initial use challenging for some.
  • Users find the limited compatibility with older Db2 systems a drawback, hindering seamless integration in workflows.
  • Users note the lack of customization possibilities in BMC AMI Data, limiting tailored solutions for their needs.

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 find the AI technology of Gymnasium incredibly beneficial for reinforcement learning research and activities.
  • Users find Gymnasium to be a valuable resource for problem solving in reinforcement learning research and activities.
Cons
  • Users find complex implementation challenging, especially newcomers, due to limited support for multi-agent environments.
  • Users find the limited features of Gymnasium challenging, especially for newcomers and multi-agent setups.
  • Users find the limited support for multi-agent environments challenging, especially those new to using Gymnasium.

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: 244

How Do G2 Users Rate Prolific?

  • Has the product been a good partner in doing business?: 9.3/10 (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
  • LinkedIn® Page: www.linkedin.com
    1,457 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Assistant Professor, Associate Professor
  • Top Industries: Research, Higher Education
  • Company Size: 43% Small, 36% Large

What Do G2 Reviewers Say About Prolific?

AI-generated summary from verified user reviews

Pros
  • Users highlight the user-friendly interface of Prolific, making it easy to engage with and navigate the platform.
  • Users appreciate the large pool of trusted participants on Prolific, facilitating targeted and efficient research studies.
  • Users praise Prolific for its high-quality research participants, ensuring reliable data collection and efficiency in recruitment.
  • Users value the high engagement of trusted participants on Prolific, enhancing the quality and reliability of research studies.
  • Users praise Prolific's superior customer support for quick responses and effective issue resolution, enhancing overall satisfaction.
Cons
  • Users find Prolific to be quite costly, especially for smaller projects, impacting affordability and accessibility.
  • Users face difficulties in participant management on Prolific, especially with retention and navigating complex policies.
  • Users find the limited features in Prolific's participant screeners frustrating and in need of improvement.
  • Users often face poor customer support, experiencing slow response times and frustrating account ban issues with Prolific.
  • Users experience limited surveys on Prolific, leading to challenges in collecting diverse and quality data for research.

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
  • 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
  • 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 Machine Learning capabilities of Feature Forge exceptional for various datasets, enhancing their research and decisions.
  • Users find that Feature Forge significantly enhances problem-solving capabilities, particularly for complex datasets like stocks and crypto.
Cons
  • Users find the documentation lacking, which hinders a complete understanding of the features and usage.

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 find Forwrd to be incredibly user-friendly, allowing seamless integration and intuitive model building for data analysis.
  • Users admire the robust machine learning capabilities of Forwrd, likening it to having a personal data scientist.
  • Users value Forwrd's flexible integration and personalized support, feeling empowered by its powerful data analysis capabilities.
  • Users find Forwrd's interface incredibly intuitive, making data modeling and analysis effortless and efficient.
  • Users find Forwrd's automation capabilities exceptional, enabling efficient data model building without any coding required.
Cons
  • Users find learning difficulty in Forwrd's setup, often requiring guidance to understand the platform effectively.

What Are Recent G2 Reviews of Forwrd?

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