Best Machine Learning Software - Page 5

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 475

Category Stats (Aug 2026)

  • Average Rating: 4.33/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Fireworks AI (+7.87%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

Last updated: August 06, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 16,200+ Authentic Reviews
  • 475+ 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, IBM watsonx.ai, Azure OpenAI Service, Amazon Personalize, Google Cloud TPU, Alteryx, 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=ibm-watsonx-ai&focus%5B%5D=azure-openai-service&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=alteryx&focus%5B%5D=dataiku)

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Gemini Enterprise Agent Platform

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Mahout

Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming environment and framework for building scalable algorithms, A wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink and Samsara, a vector math experimentation environment with R-like syntax which works at scale

Average Rating: 4.2/5.0

Total Reviews: 13

How Do G2 Users Rate Mahout?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.7/10)
  • Ease of Use: 7.1/10 (Category avg: 8.5/10)
  • Quality of Support: 8.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Mahout?

Who Uses This Product?

  • Company Size: 46% Medium, 31% Large

What Are Recent G2 Reviews of Mahout?

What Are G2 Users Discussing About Mahout?

Patern Recognition and Machine Learning Toolbox

Pattern Recognition and Machine Learning is a Matlab implementation of the algorithms.

Average Rating: 4.0/5.0

Total Reviews: 11

How Do G2 Users Rate Patern Recognition and Machine Learning Toolbox?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 7.6/10 (Category avg: 8.5/10)
  • Quality of Support: 7.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Patern Recognition and Machine Learning Toolbox?

Who Uses This Product?

  • Company Size: 45% Small, 27% Large

What Are Recent G2 Reviews of Patern Recognition and Machine Learning Toolbox?

Vowpal Wabbit

Vowpal Wabbit is a machine learning system that pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Average Rating: 4.3/5.0

Total Reviews: 13

How Do G2 Users Rate Vowpal Wabbit?

  • 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: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Vowpal Wabbit?

Who Uses This Product?

  • Company Size: 46% Medium, 31% Large

What Are Recent G2 Reviews of Vowpal Wabbit?

What Are G2 Users Discussing About Vowpal Wabbit?

Ganitha

Ganitha is an open-source library (derived from the Sanskrit word for mathematics, or science of computation) is a Scalding library with a focus on machine-learning and statistical analysis.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Ganitha?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 6.8/10 (Category avg: 8.5/10)
  • Quality of Support: 6.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Ganitha?

  • Seller: Tresata
  • Year Founded: 2011
  • HQ Location: Charlotte, NC
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising
  • Company Size: 75% Medium, 25% Small

What Do G2 Reviewers Say About Ganitha?

AI-generated summary from verified user reviews

Pros
  • Users value the efficiency in handling large data volumes with Ganitha, simplifying complex data manipulation and analysis.
  • Users commend Ganitha for its ease of use, enabling efficient data handling with a user-friendly interface.
  • Users value the model variety of Ganitha, enabling efficient handling of complex data with multiple machine learning options.
  • Users commend Ganitha for its seamless integrations and user-friendly interface, enhancing efficiency in data processing tasks.
  • Users value the flexibility of Ganitha, enhancing their ability to manage and analyze vast datasets effectively.
Cons
  • Users find the poor documentation of Ganitha frustrating, as it lacks clear guides and practical examples for new users.
  • Users find the difficult learning curve of Ganitha to hinder effective usage and overall satisfaction.
  • New users may face a steep learning curve with Ganitha, making it challenging to maximize its features.
  • Users find Ganitha offers limited customization, which may restrict advanced analysis and integration for experienced users.
  • Users find Ganitha has limited features, lacking advanced options for deeper analysis and customizations.

What Are Recent G2 Reviews of Ganitha?

What Are G2 Users Discussing About Ganitha?

Beeze

Breeze is a numerical processing library for Scala.

Average Rating: 4.4/5.0

Total Reviews: 12

How Do G2 Users Rate Beeze?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 7.3/10 (Category avg: 8.5/10)
  • Quality of Support: 7.1/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Beeze?

  • Seller: ScalaNLP
  • HQ Location: N/A
  • Twitter: @ScalaNLP
    191 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Medium, 33% Small

What Are Recent G2 Reviews of Beeze?

What Are G2 Users Discussing About Beeze?

Vivas.AI

Vivas.AI is a one-stop marketplace to access a wide range of AI models for various use cases across industries. Vivas.AI shifts the balance of power from ML engineers toward application engineers. Application developers are no longer burdened to develop models in-house but simply use them to build their favorite app by simply dragging and dropping them in their low code platform of choice. Users can validate the models with sample data and access the model cards, best practices, and limitations to ensure the customers have complete transparency and trust in the models they choose. Vivas.AI's business model is inclusive and strives to provide a marketplace where multiple vendors can offer their models. This makes the Vivas.AI marketplace much more inclusive and broad. In short, Vivas.AI aspires to be the ‘Uber’ of the AI/ML marketplace.

Average Rating: 4.2/5.0

Total Reviews: 12

How Do G2 Users Rate Vivas.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: 8.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Vivas.AI?

  • Seller: Vivas.AI
  • Year Founded: 2022
  • HQ Location: Chennai, IN
  • Twitter: @vivas_ai
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 50% Medium

What Are Recent G2 Reviews of Vivas.AI?

Cloud Talent Solution

Power your job site with machine learning

Average Rating: 4.6/5.0

Total Reviews: 9

How Do G2 Users Rate Cloud Talent Solution?

  • Has the product been a good partner in doing business?: 9.4/10 (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: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Cloud Talent Solution?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    341,888 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Company Size: 60% Medium, 20% Large

What Are Recent G2 Reviews of Cloud Talent Solution?

DagsHub

DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflows, and evaluate models. Enterprises with sensitive data, can run on their own infrastructure on-prem and get a full AI platform. Data curation - create the very best datasets. Data annotation - annotate your vision, audio, and document data. Auto labeling - automate your annotation flow with pre-built templates and active learning. Data versioning - version your datasets for reproducibility. Experiment tracking - track your experiment progress, understand trends, and compare results. Model registry - manage your models and deployments in one place. The top data scientists build AI with DagsHub including teams at: Google, Harvard Medicine, Beewise, Macso, and Mana.bio

Average Rating: 4.8/5.0

Total Reviews: 14

How Do G2 Users Rate DagsHub?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.7/10)
  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Quality of Support: 9.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind DagsHub?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Small, 43% Medium

What Do G2 Reviewers Say About DagsHub?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the efficient data management capabilities of DagsHub, enabling seamless organization and tracking of ML projects.
  • Users value the integrated platform of DagsHub for efficiently managing data, code, and experiments together.
  • Users value the seamless collaboration offered by DagsHub, enhancing teamwork and productivity in data management and experiments.
  • Users value DagsHub for its seamless integration of data, experiments, and models, enhancing reproducibility and collaboration in ML projects.
  • Users value the integrated platform of DagsHub for efficiently managing data, experiments, and models seamlessly.
Cons
  • Users find limited functionality in DagsHub, particularly regarding team size restrictions and project integration options.
  • Users often face error handling issues when pushing or loading projects on DagsHub, leading to frustration.
  • Users find DagsHub expensive due to limitations on the free plan and non-automated access for academia.
  • Users find limited customization options on the free plan restrictive, impacting team collaboration potential.
  • Users find the strict limitations of the free plan frustrating, especially with team size capped at two.

What Are Recent G2 Reviews of DagsHub?

Genpact Orchestration AI Suite

Genpact Cora: Artificial intelligence for the real world

Average Rating: 4.2/5.0

Total Reviews: 9

How Do G2 Users Rate Genpact Orchestration AI Suite?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.7/10)
  • Ease of Use: 8.1/10 (Category avg: 8.5/10)
  • Quality of Support: 8.1/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Genpact Orchestration AI Suite?

  • Seller: Genpact
  • Year Founded: 1997
  • HQ Location: New York, NY
  • Twitter: @Genpact
    23,941 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    143,498 employees on LinkedIn®
  • Ownership: NYSE:G

Who Uses This Product?

  • Company Size: 50% Small, 40% Medium

What Do G2 Reviewers Say About Genpact Orchestration AI Suite?

AI-generated summary from verified user reviews

Pros
  • Users value the integration of AI, Automation, and Analytics in Genpact Orchestration AI Suite for enhanced decision-making.
  • Users appreciate the integration of AI, automation, and analytics in the Genpact Orchestration AI Suite, enhancing efficiency.
  • Users value the business growth capabilities of Genpact Orchestration AI Suite, enhancing decision-making and supplier operations.
  • Users value the customization options of Genpact Orchestration AI Suite, tailoring the platform to their business needs.
  • Users appreciate the intuitive design of Genpact Orchestration AI Suite, enhancing ease of use and accessibility.
Cons
  • Users find the initial implementation cost of Genpact Orchestration AI Suite to be quite high and challenging.

What Are Recent G2 Reviews of Genpact Orchestration AI Suite?

MLKit

MLKit is a machine learning framework written in Swift that features machine learning algorithms that deal with the topic of regression to provide developers with a toolkit to create products that can learn from data.

Average Rating: 4.4/5.0

Total Reviews: 12

How Do G2 Users Rate MLKit?

  • Ease of Use: 9.3/10 (Category avg: 8.5/10)
  • Quality of Support: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind MLKit?

Who Uses This Product?

  • Company Size: 46% Small, 31% Medium

What Are Recent G2 Reviews of MLKit?

Modal Labs

Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.

Average Rating: 4.2/5.0

Total Reviews: 9

How Do G2 Users Rate Modal Labs?

  • Has the product been a good partner in doing business?: 5.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Quality of Support: 7.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 5.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Modal Labs?

  • Seller: Modal Labs
  • Year Founded: 2015
  • HQ Location: New York City, US
  • LinkedIn® Page: www.linkedin.com
    202 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Small, 22% Medium

What Are Recent G2 Reviews of Modal Labs?

Encord

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

Average Rating: 4.8/5.0

Total Reviews: 65

How Do G2 Users Rate Encord?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 8.7/10)
  • Ease of Use: 9.5/10 (Category avg: 8.5/10)
  • Quality of Support: 9.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Encord?

  • Seller: Encord
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @encord_team
    1,014 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    205 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Hospital & Health Care
  • Company Size: 51% Small, 40% Medium

What Do G2 Reviewers Say About Encord?

AI-generated summary from verified user reviews

Pros
  • Users commend the responsive customer support from Encord, ensuring quick assistance during their project needs.
  • Users praise Encord for its annotation efficiency, streamlining workflows and enhancing speed in data curation tasks.
  • Users value the intuitive interface and seamless integration of Encord's annotation tools for efficient data workflow.
  • Users appreciate the efficiency of Encord, highlighting smooth workflows and quick integration that enhances their productivity.
  • Users value Encord's intuitive interface and seamless integration, enhancing their workflows with efficient data curation and support.
Cons
  • Users find complex automation challenging, though the supportive team helps navigate the intricacies of custom workflows.
  • Users find it challenging to stay current due to frequent updates, but support from the team is helpful.
  • Users find the lack of guidance challenging due to rapid feature updates, despite helpful customer support.

What Are Recent G2 Reviews of Encord?

Keysight Eggplant

Keysight Eggplant is a leading intelligent test automation platform that uses ML/AI to test the entire user journey — identifying and predicting any potential defects along the way. Unlike other testing tools, Eggplant can test any technology, platform, or device, no matter the complexity. Because Eggplant is non-invasive, it does not require access to source code, making it the best solution for black box testing in secure environments. Eggplant delivers the coverage you need to optimize the user experience, speed up release cycles, and improve your quality assurance process. Discover a fast, secure, and easy-to-use solution that tests any software on any platform or device.

Average Rating: 4.2/5.0

Total Reviews: 87

How Do G2 Users Rate Keysight Eggplant?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.7/10)
  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Quality of Support: 8.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Keysight Eggplant?

  • Seller: Keysight Technologies
  • Year Founded: 2014
  • HQ Location: Santa Rosa, California, United States
  • Twitter: @Keysight
    13,585 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13,542 employees on LinkedIn®
  • Ownership: NYSE: KEYS

Who Uses This Product?

  • Who Uses This: Software Engineer, Test Automation Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Large, 35% Small

What Do G2 Reviewers Say About Keysight Eggplant?

AI-generated summary from verified user reviews

Pros
  • Users find Eggplant's ease of use impressive, with a low learning curve and intuitive interface enhancing automation.
  • Users value the ease of automation in Keysight Eggplant, enabling quick and efficient test script creation.
  • Users value the ease of automation support with Eggplant, facilitating rapid test script creation and excellent vendor assistance.
  • Users find automation incredibly easy with Keysight Eggplant, enabling rapid script creation and streamlined testing processes.
  • Users praise the outstanding customer support provided by Keysight Eggplant, enhancing their overall testing experience.
Cons
  • Users face challenges with browser compatibility, leading to difficulties in testing across various platforms and applications.
  • Users face browser compatibility issues with Keysight Eggplant, affecting the effectiveness of their testing processes.
  • Users experience frequent OCR issues with Keysight Eggplant, causing tests to fail intermittently during execution.
  • Users face compatibility challenges with specific technologies or applications while using Keysight Eggplant, impacting overall performance.
  • Users find the complexity of Keysight Eggplant challenging, particularly with monochrome logs and file conversion issues.

What Are Recent G2 Reviews of Keysight Eggplant?

What Are G2 Users Discussing About Keysight Eggplant?

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's ease of use impressive, appreciating its simple and straightforward integration process.
  • Users appreciate the simplicity and versatility of Marvin AI, enabling faster app development and smarter decision-making.
  • Users appreciate the lightweight and scalable AI functionalities of Marvin AI, enhancing their decision-making with ease.
  • Users appreciate the easy integrations of Marvin AI, facilitating a smooth implementation with GitHub and scalability.
  • Users praise Marvin AI for its efficiency in app development, delivering fast and optimized results effortlessly.
Cons
  • Users note the limited community support for Marvin AI, which can hinder its effectiveness for smaller projects.
  • Users note the limited community support for Marvin AI, which may hinder assistance and resources for projects.
  • Users note usage limitations due to less community support and data requirements impacting performance in smaller projects.
  • Users find the complex implementation process of Marvin AI frustrating due to repeated installation attempts via Git.
  • Users find the complex setup of Marvin AI frustrating, often needing repeated installations via 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
    106,198 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 highlight the seamless integration and optimization for deep AI modeling and validation in OpenVINO Toolkit.
  • Users find OpenVINO Toolkit to be highly convenient and user-friendly, making it accessible for anyone to utilize.
  • Users value the seamless integrations with TensorFlow and PyTorch, enhancing deep learning model optimization across various hardware.
  • Users find the Intuitive design of OpenVINO Toolkit exceptionally convenient and accessible for everyone.
Cons
  • Users face integration issues with OpenVINO Toolkit, especially regarding support for diverse frameworks and non-Intel architectures.
  • Users find compatibility issues due to limited support for newer frameworks and non-intel architecture challenges.
  • Users find the complex implementation of OpenVINO Toolkit challenging, especially for those without a software engineering background.
  • Users face dependency issues when integrating OpenVINO Toolkit with other mechanical design software, complicating their usage experience.
  • Users find the poor documentation challenging, especially beginners needing support for integration on non-intel architecture.

What Are Recent G2 Reviews of OpenVINO Toolkit?

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