Best Machine Learning Software - Page 3

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 1,246

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
  • 17,600+ Authentic Reviews
  • 1,246+ 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)

BMC AMI DevX

BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce. Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach. A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%. Key capabilities: - Modern IDE integration (VS Code, Eclipse) with a unified development environment that reduces context switching - AI-powered code analysis including dependency mapping, impact analysis, and runtime execution path visualization - Automated unit, functional, integration, and performance testing with code coverage analysis - Git-compatible CI/CD integration with event-driven webhooks and an open plug-in library - DORA metrics and DevOps KPI tracking with AI/ML anomaly detection across the mainframe SDLC

Average Rating: 4.3/5.0

Total Reviews: 95

How Do G2 Users Rate BMC AMI DevX?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 8.4/10 (Category avg: 8.5/10)
  • Quality of Support: 8.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind BMC AMI DevX?

  • 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?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 28% Medium

What Do G2 Reviewers Say About BMC AMI DevX?

AI-generated summary from verified user reviews

Pros
  • Users find BMC AMI DevX to be easy to use, facilitating seamless implementation and efficient performance monitoring.
  • Users value the industry benchmarking feature of BMC AMI DevX, enhancing performance comparisons and executive reporting.
  • Users value the effective bug detection capabilities of BMC AMI DevX, enhancing modernization and operational performance insights.
  • Users value the excellent customer support provided by BMC AMI DevX, enhancing their overall experience.
  • Users praise the smooth integration of Machine Learning in BMC AMI DevX, enhancing DevOps KPIs effectively.
Cons
  • Users face complexity and limitations in customization that hinder their ability to tailor the BMC AMI DevX to their needs.
  • Users find limited customization challenging, making it difficult to tailor dashboards to their specific organizational needs.
  • Users experience compatibility issues with BMC AMI DevX when integrating non-BMC tools, hindering effective activity monitoring.
  • Users struggle with the complex setup of BMC AMI DevX due to limited customization and a steep learning curve.
  • Users face configuration issues due to limited customization and a steep learning curve for tailored setups.

What Are Recent G2 Reviews of BMC AMI DevX?

What Are G2 Users Discussing About BMC AMI DevX?

Intel(R) Data Analytics Acceleration Library

Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytics stages, from data preparation to data mining and machine learning.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Intel(R) Data Analytics Acceleration Library?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.3/10 (Category avg: 8.5/10)
  • Quality of Support: 7.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Intel(R) Data Analytics Acceleration Library?

  • 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: 46% Large, 31% Small

What Are Recent G2 Reviews of Intel(R) Data Analytics Acceleration Library?

What Are G2 Users Discussing About Intel(R) Data Analytics Acceleration Library?

Spearmint

Spearmint is a software package to perform Bayesian optimization that automatically run experiments (thus the code name spearmint) in a manner that iteratively adjusts a number of parameters so as to minimize some objective in as few runs as possible.

Average Rating: 4.4/5.0

Total Reviews: 14

How Do G2 Users Rate Spearmint?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 8.7/10)
  • Ease of Use: 9.4/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Spearmint?

Who Uses This Product?

  • Company Size: 50% Medium, 29% Small

What Are Recent G2 Reviews of Spearmint?

What Are G2 Users Discussing About Spearmint?

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Aerosolve

Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples.

Average Rating: 4.5/5.0

Total Reviews: 17

How Do G2 Users Rate Aerosolve?

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

Who Is the Company Behind Aerosolve?

  • Seller: Airbnb
  • Year Founded: 2007
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    72,821 employees on LinkedIn®
  • Ownership: NASDAQ: ABNB

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 67% Small, 28% Medium

What Are Recent G2 Reviews of Aerosolve?

B2Metric

B2Metric is an AI/ML-powered data analytics platform that enables marketing, data analytics, and CRM teams to better understand customer trends and behaviors. B2Metric uses machine learning to automate data analysis and generate predictive insights, which can be used to improve customer engagement, retention, and growth.

Average Rating: 4.8/5.0

Total Reviews: 44

How Do G2 Users Rate B2Metric?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.8/10 (Category avg: 8.5/10)
  • Quality of Support: 9.7/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind B2Metric?

  • Seller: B2Metric
  • Year Founded: 2018
  • HQ Location: Menlo Park, California
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 52% Small, 30% Medium

What Do G2 Reviewers Say About B2Metric?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of B2Metric, enabling quick data connection and streamlined dashboard access.
  • Users value the efficiency in customer tracking and data analytics that B2Metric provides, enhancing their marketing strategies.
  • Users value the significant productivity improvement from B2Metric's real-time insights and user-friendly integration capabilities.
  • Users value the ease of data analytics with B2Metric, enhancing decision-making and uncovering opportunities efficiently.
  • Users praise B2Metric for its valuable insights, enhancing decision-making and improving marketing strategies significantly.
Cons
  • Users find the learning curve steep for B2Metric, requiring time to understand its complex features and functionalities.
  • Users find the complex implementation of B2Metric challenging, requiring technical expertise for effective use.
  • Users find that B2Metric's difficult learning curve can hinder their ability to effectively utilize the platform.
  • Users find B2Metric's high complexity overwhelming due to numerous modules, making initial navigation challenging.
  • Users find the insufficient training challenging, suggesting a need for better onboarding resources for new team members.

What Are Recent G2 Reviews of B2Metric?

Xilinx Machine Learning

The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.

Average Rating: 4.4/5.0

Total Reviews: 13

How Do G2 Users Rate Xilinx Machine Learning?

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

Who Is the Company Behind Xilinx Machine Learning?

  • Seller: AMD
  • Year Founded: 1969
  • HQ Location: Santa Clara, California
  • LinkedIn® Page: www.linkedin.com
    50,682 employees on LinkedIn®
  • Ownership: NASDAQ: AMD

Who Uses This Product?

  • Company Size: 46% Large, 31% Small

What Are Recent G2 Reviews of Xilinx Machine Learning?

What Are G2 Users Discussing About Xilinx Machine Learning?

Weka

Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.

Average Rating: 4.3/5.0

Total Reviews: 13

How Do G2 Users Rate Weka?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.7/10)
  • Ease of Use: 8.2/10 (Category avg: 8.5/10)
  • Quality of Support: 7.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Weka?

  • Seller: Weka
  • Year Founded: 1964
  • HQ Location: Hamilton, NZ
  • LinkedIn® Page: www.linkedin.com
    3,719 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 77% Large, 23% Medium

What Are Recent G2 Reviews of Weka?

Naive Bayesian Classification for Golang

Naive Bayesian Classification for Golang that perform classification into an arbitrary number of classes on sets of strings.

Average Rating: 4.2/5.0

Total Reviews: 13

How Do G2 Users Rate Naive Bayesian Classification for Golang?

  • Has the product been a good partner in doing business?: 7.2/10 (Category avg: 8.7/10)
  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Quality of Support: 7.4/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Naive Bayesian Classification for Golang?

Who Uses This Product?

  • Company Size: 54% Small, 38% Medium

What Are Recent G2 Reviews of Naive Bayesian Classification for Golang?

What Are G2 Users Discussing About Naive Bayesian Classification for Golang?

Crab

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 of components from which user can construct a customized recommender system from a set of algorithms and be usable in various contexts: ** science and engineering ** .

Average Rating: 4.6/5.0

Total Reviews: 10

How Do G2 Users Rate Crab?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 8.7/10)
  • Ease of Use: 8.7/10 (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 Crab?

  • Seller: Crab
  • Year Founded: 2012
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Small, 40% Medium

What Are Recent G2 Reviews of Crab?

What Are G2 Users Discussing About Crab?

Neo4j Graph Data Science

Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using a catalog of over 65 pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making. Practical business applications and operations benefit from the context-first analysis that only graphs can provide across projects like recommendation engines, anomaly and fraud detection, route optimization, marketing, network analysis, and many more.

Average Rating: 4.5/5.0

Total Reviews: 15

How Do G2 Users Rate Neo4j Graph Data Science?

  • Has the product been a good partner in doing business?: 9.4/10 (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: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Neo4j Graph Data Science?

  • Seller: Neo4j
  • Year Founded: 2007
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    1,063 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 44% Medium, 38% Small

What Do G2 Reviewers Say About Neo4j Graph Data Science?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Neo4j Graph Data Science, making it accessible for both novices and experts.
  • Users value the diverse modeling options in Neo4j Graph Data Science, enhancing analytical capabilities for all experience levels.
  • Users praise Neo4j Graph Data Science for its efficient problem-solving capabilities in building advanced recommendation systems quickly.
  • Users praise the advanced analytics capabilities of Neo4j Graph Data Science for seamless graph-native performance and insights.
  • Users praise the support for popular machine learning problem statements, enhancing their analytical capabilities in Neo4j GDS.
Cons
  • Users face a steep learning curve with Neo4j Graph Data Science, making initial adoption challenging for beginners.
  • Users note a significant learning difficulty with Neo4j Graph Data Science, impacting quick adoption for beginners.
  • Users acknowledge a steep learning curve in Neo4j Graph Data Science, making it challenging for beginners to adopt.
  • Users face a challenging learning curve with Neo4j Graph Data Science, which can hinder quick and easy adoption.
  • Users find Neo4j Graph Data Science too expensive, raising concerns about its high costs and accessibility.

What Are Recent G2 Reviews of Neo4j Graph Data Science?

Figaro

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 from evidence.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Figaro?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 9.7/10 (Category avg: 8.5/10)
  • Quality of Support: 7.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Figaro?

Who Uses This Product?

  • Company Size: 55% Small, 27% Medium

What Are Recent G2 Reviews of Figaro?

What Are G2 Users Discussing About Figaro?

Black Crow AI

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 unlocking the hidden value in the customer data you already own.

Average Rating: 4.8/5.0

Total Reviews: 12

How Do G2 Users Rate Black Crow AI?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.8/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Black Crow AI?

Who Uses This Product?

  • Company Size: 58% Small, 33% Medium

What Are Recent G2 Reviews of Black Crow AI?

SuperLearner

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.

Average Rating: 4.5/5.0

Total Reviews: 13

How Do G2 Users Rate SuperLearner?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 9.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 5.0/10 (Category avg: 8.5/10)

Who Is the Company Behind SuperLearner?

Who Uses This Product?

  • Company Size: 38% Small, 31% Large

What Are Recent G2 Reviews of SuperLearner?

What Are G2 Users Discussing About SuperLearner?

warpt-ctc

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 speech recognition

Average Rating: 4.0/5.0

Total Reviews: 11

How Do G2 Users Rate warpt-ctc?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 7.7/10 (Category avg: 8.5/10)
  • Quality of Support: 7.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 5.0/10 (Category avg: 8.5/10)

Who Is the Company Behind warpt-ctc?

  • Seller: Baidu
  • Year Founded: 2000
  • HQ Location: Beijing, China
  • LinkedIn® Page: www.linkedin.com
    26,567 employees on LinkedIn®
  • Ownership: NASDAQ:BIDU
  • Total Revenue (USD mm): $107,074

Who Uses This Product?

  • Company Size: 36% Medium, 36% Small

What Are Recent G2 Reviews of warpt-ctc?

What Are G2 Users Discussing About warpt-ctc?

Kubeflow

Kubeflow is an open-source platform designed to facilitate the deployment, orchestration, and management of machine learning (ML) workflows on Kubernetes. It provides a comprehensive suite of tools that cover the entire ML lifecycle, enabling data scientists and engineers to develop, train, and deploy models efficiently in scalable and portable environments. Key Features and Functionality: - Kubeflow Notebooks: Offers web-based development environments, such as Jupyter Notebooks, running inside Kubernetes pods, allowing for interactive model development. - Kubeflow Pipelines: Enables the creation and deployment of portable, scalable ML workflows using Kubernetes, promoting consistency and reproducibility. - Kubeflow Trainer: Supports distributed training across various AI frameworks, including PyTorch, Hugging Face, DeepSpeed, MLX, JAX, and XGBoost, facilitating large-scale model training. - Kubeflow Katib: Provides automated machine learning capabilities, including hyperparameter tuning, early stopping, and neural architecture search, to optimize model performance. - Kubeflow KServe: Delivers a standardized platform for serving ML models across multiple frameworks, ensuring scalable and efficient model inference. - Kubeflow Model Registry: Acts as a centralized repository for managing ML models, versions, and associated metadata, bridging the gap between model experimentation and production deployment. Primary Value and Problem Solved: Kubeflow addresses the complexities associated with deploying and managing ML workflows by leveraging Kubernetes' scalability and portability. It abstracts the intricacies of containerization, allowing users to focus on building, training, and deploying models without worrying about the underlying infrastructure. By automating various stages of the ML lifecycle, Kubeflow enhances reproducibility, efficiency, and collaboration among data scientists and engineers, ultimately accelerating the development and deployment of machine learning solutions.

Average Rating: 4.5/5.0

Total Reviews: 21

How Do G2 Users Rate Kubeflow?

  • Has the product been a good partner in doing business?: 8.1/10 (Category avg: 8.7/10)
  • Ease of Use: 7.6/10 (Category avg: 8.5/10)
  • Quality of Support: 7.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Kubeflow?

  • Seller: Kubeflow
  • Year Founded: 2017
  • HQ Location: Sunnyvale, US
  • LinkedIn® Page: www.linkedin.com
    39 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 48% Small, 43% Large

What Do G2 Reviewers Say About Kubeflow?

AI-generated summary from verified user reviews

Pros
  • Users find Kubeflow enhances their workflows, providing quick efficiency for small CRON based ETL tasks.
  • Users value the flexibility of Kubeflow, enabling efficient management and scalability for machine learning workflows.
  • Users value the model variety in Kubeflow, enabling scalable and flexible machine learning workflow management.
  • Users find that Kubeflow offers efficient problem solving for quick CRON-based ETL workflows.
  • Users value the scalability of Kubeflow, enabling effective management of machine learning workflows with ease.
Cons
  • Users find the complexity of setup and management in Kubeflow to be resource-intensive and challenging without expertise.
  • Users find the initial setup and ongoing management complex, requiring significant Kubernetes expertise and resources.
  • Users find the difficult setup of Kubeflow complex and resource-intensive, demanding significant Kubernetes expertise.
  • Users find that limited capacity in Kubeflow makes memory-intensive operations less feasible, impacting performance and usability.
  • Users find Kubeflow's setup and management complex and resource intensive, requiring significant Kubernetes expertise.

What Are Recent G2 Reviews of Kubeflow?

What Are G2 Users Discussing About Kubeflow?

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