Best Machine Learning Software - Page 7

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 962

Category Stats (Sep 2026)

  • Average Rating: 4.33/5 (↓0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Fireworks AI (+6.25%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,100+ Authentic Reviews
  • 962+ 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, Alteryx, Amazon Personalize, Google Cloud TPU, and Google Cloud Recommendations AI.

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=alteryx&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=google-cloud-recommendations-ai)

IBM Services Software Model Builder

Enables handheld visual inspections using IBM Model Builder or IBM Maximo Visual Inspection to run Core ML models on iPhone or iPad.

Average Rating: 4.3/5.0

Total Reviews: 4

How Do G2 Users Rate IBM Services Software Model Builder?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM Services Software Model Builder?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Are Recent G2 Reviews of IBM Services Software Model Builder?

Numenta

Numenta is a machine intelligence solution that delivers capabilities and demonstrates a computing approach based on biological learning principles to help you manage your business.

Average Rating: 4.9/5.0

Total Reviews: 4

How Do G2 Users Rate Numenta?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Numenta?

  • Seller: Numenta
  • Year Founded: 2005
  • HQ Location: Menlo Park, US
  • Twitter: @Numenta
    13,374 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Large

What Are Recent G2 Reviews of Numenta?

What Are G2 Users Discussing About Numenta?

Saraswati AI

AI answer sheet checking software for Indian schools and coaching institutes. Grade handwritten papers from a phone. Hindi and English, CBSE and State Boards.

Average Rating: 4.8/5.0

Total Reviews: 4

Who Is the Company Behind Saraswati AI?

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Are Recent G2 Reviews of Saraswati AI?

Shimoku

A platform that offers a catalog of Artificial Intelligence powered modules that allow you to optimize every step of your customer lifecycle from lead scoring to churn, including predictions of lifetime value, upselling, cross-selling, discount personalization and more. All with explainability to understand the drivers and barriers.

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate Shimoku?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Quality of Support: 9.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Shimoku?

  • Seller: Shimoku
  • Year Founded: 2020
  • HQ Location: Barcelona, ES
  • Twitter: @AiShimoku
    223 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Large

What Are Recent G2 Reviews of Shimoku?

Theano

Theano is a Python library that allows user to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently

Average Rating: 3.1/5.0

Total Reviews: 4

How Do G2 Users Rate Theano?

  • Has the product been a good partner in doing business?: 5.8/10 (Category avg: 8.7/10)
  • Ease of Use: 4.2/10 (Category avg: 8.5/10)
  • Quality of Support: 5.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Theano?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of Theano?

What Are G2 Users Discussing About Theano?

Bolt

Bolt is a discriminative learning of linear predictors (e.g. SVM or Logistic Regression) that uses fast online learning algorithms to aimed large-scale, high-dimensional and sparse machine-learning problems. In particular, problems encountered in information retrieval and natural language processing.

Average Rating: 3.7/5.0

Total Reviews: 3

How Do G2 Users Rate Bolt?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Bolt?

  • Seller: GitHub
  • Year Founded: 2008
  • HQ Location: San Francisco, CA
  • Twitter: @github
    2,673,925 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6,653 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Bolt?

What Are G2 Users Discussing About Bolt?

Deep Block

Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in days, with no prior expertise required.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate Deep Block?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Deep Block?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Deep Block?

Dlib Machine Learning

Dlib Machine Learning is a tool that contains a wide range of machine learning algorithms, designed to be highly modular, quick to execute, and simple to use via a clean and modern C++ API and used in a wide range of applications including robotics, embedded devices, mobile phones, and large high performance computing environments.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Dlib Machine Learning?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Dlib Machine Learning?

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Dlib Machine Learning?

GraphLab Create API

GraphLab Create is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance data products.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate GraphLab Create API?

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

Who Is the Company Behind GraphLab Create API?

Who Uses This Product?

  • Company Size: 67% Large, 33% Small

What Are Recent G2 Reviews of GraphLab Create API?

What Are G2 Users Discussing About GraphLab Create API?

Intel DevCloud for the Edge

Learn, test and prototype AI inference workloads using Intel® DevCloud for the Edge, which includes a preinstalled and preconfigured version of the Intel® Distribution of OpenVINO™ toolkit and AI pipeline software. Access tutorials, sample applications and pretrained models via a Jupyter Notebook environment and execute workloads on a wide range of Intel® hardware.

Average Rating: 3.5/5.0

Total Reviews: 3

How Do G2 Users Rate Intel DevCloud for the Edge?

  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Intel DevCloud for the Edge?

  • 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: 100% Small

What Do G2 Reviewers Say About Intel DevCloud for the Edge?

AI-generated summary from verified user reviews

Pros
  • Users value the remote access to hardware and resources that makes development in edge AI accessible for all skill levels.
  • Users appreciate the efficiency of testing AI models on real Intel hardware without the need for physical devices.
  • Users value the efficient cloud storage of Intel DevCloud for easy testing and optimization of AI models.
  • Users appreciate the ease of use of Intel DevCloud for the Edge, enabling quick testing and optimization of AI models.
  • Users love the model variety in Intel DevCloud for the Edge, enabling quick AI testing on diverse Intel hardware.
Cons
  • Users often face lagging issues, especially during peak hours, affecting their experience with the Intel DevCloud for the Edge.
  • Users experience slow performance during peak usage, affecting their productivity and overall experience with Intel DevCloud for the Edge.
  • Users find the slow performance of Intel DevCloud for the Edge frustrating, especially during peak usage times.

What Are Recent G2 Reviews of Intel DevCloud for the Edge?

Megaladata

The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process.

Average Rating: 4.9/5.0

Total Reviews: 9

How Do G2 Users Rate Megaladata?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Quality of Support: 9.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Megaladata?

  • Seller: Megaladata
  • HQ Location: Neu-Isenburg, DE
  • Twitter: @megaladata_com
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 89% Small, 11% Medium

What Are Recent G2 Reviews of Megaladata?

metric-learn

metric-learn is the sub-field of machine learning dedicated to automatically constructing optimal distance metrics.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate metric-learn?

  • 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: 6.1/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind metric-learn?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Do G2 Reviewers Say About metric-learn?

AI-generated summary from verified user reviews

Pros
  • Users praise weakly supervised metric learning for effectively handling various data objects and judgments beyond traditional points.
  • Users value the high-quality, well-tested metrics provided by metric-learn, enhancing their analytical capabilities.
Cons
  • Users find the poor documentation of metric-learn lacking, leading to confusion and difficulties in understanding algorithms.

What Are Recent G2 Reviews of metric-learn?

What Are G2 Users Discussing About metric-learn?

NGC

NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC) that takes care of all the plumbing so data scientists, developers, and researchers can focus on building solutions, gathering insights, and delivering business value.

Average Rating: 3.7/5.0

Total Reviews: 3

How Do G2 Users Rate NGC?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 7.2/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind NGC?

  • Seller: NVIDIA
  • Year Founded: 1993
  • HQ Location: Santa Clara, CA
  • Twitter: @nvidia
    2,582,827 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51,762 employees on LinkedIn®
  • Ownership: NVDA

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of NGC?

Project Custom Decision

Azure Custom Decision Service helps you create intelligent systems with a cloud-based contextual decision-making API that sharpens with experience.

Average Rating: 3.7/5.0

Total Reviews: 3

How Do G2 Users Rate Project Custom Decision?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 5.8/10 (Category avg: 8.5/10)
  • Quality of Support: 6.7/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Project Custom Decision?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Company Size: 33% Medium, 33% Large

What Are Recent G2 Reviews of Project Custom Decision?

What Are G2 Users Discussing About Project Custom Decision?

Saul

Saul is a modeling language implemented as a domain specific language (DSL) in Scala that facilitate designing machine learning models with arbitrary configurations for the application programmer, including, interacting with raw data and setting it in a flexible graph structure (i.e. data model) using the original available data structures, relational feature extraction by flexible querying from the data model graph and designing flexible learning models including various configurations in which learners interact.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Saul?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Quality of Support: 8.9/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Saul?

  • Seller: Saul
  • HQ Location: Philadelphia, PA
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Are Recent G2 Reviews of Saul?

What Are G2 Users Discussing About Saul?

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