Best Machine Learning Software - Page 9

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 991

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
  • 14,000+ Authentic Reviews
  • 991+ 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 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=alteryx&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=dataiku)

MachineLearning.jl

MachineLearning is a package that represents the very beginnings of an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API, it will be targeted towards the machine learning practitioner, working with a dataset that fits in memory on a single machine

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate MachineLearning.jl?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (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 MachineLearning.jl?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of MachineLearning.jl?

What Are G2 Users Discussing About MachineLearning.jl?

MLDB

MLDB is an open-source database designed for machine learning that can be install in any device and send commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.

Average Rating: 2.5/5.0

Total Reviews: 2

How Do G2 Users Rate MLDB?

  • Ease of Use: 5.0/10 (Category avg: 8.5/10)
  • Quality of Support: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind MLDB?

Who Uses This Product?

  • Company Size: 100% Small

Mlxtend

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks.

Average Rating: 3.8/5.0

Total Reviews: 2

How Do G2 Users Rate Mlxtend?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 7.5/10 (Category avg: 8.5/10)
  • Quality of Support: 5.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Mlxtend?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Mlxtend?

myLang

MyLang Me version: Neural machine translation for a website or application via an API - Continuous machine learning; - Adding new languages; - Protection of personal information; - Working with HTML markup. The Me version includes 91 languages, including Chinese (Simplified), English, French, German, Italian, Japanese, Polish, Portuguese, Romanian, Russian, Spanish, Arabic, Bulgarian, Czech, Danish, Dutch, Estonian, Finnish, Greek, Hebrew, Hungarian, Latvian, Lithuanian, Slovak, Slovenian, Swedish, Turkish, etc. For a Me version, you can join our affiliate program. By sharing your personal link you can get 15% from sales. For G2 users we have a time-limited Coupon ===g2-2021=== which gives you 50 million symbols to translate! Please, be welcome to use it once until the end of 2021. MyLang Pro version: Unified API for accessing professional dictionaries: Amazon Translate, DeepL API, Google Cloud AutoML Translation API, Tencent Cloud TMT API, SYSTRAN PNMT API, ModernMT Human-in-the-loop, Yandex Cloud Translate API. A unified API is needed for: - Reducing the cost of maintaining the above dictionaries separately; - With automatic routing, you get the dictionary best suited for the selected language pair and direction according to the metrics hLEPOR, GLUE, MultiNLI.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate myLang?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 7.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind myLang?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of myLang?

RAPIDS

The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incubated by NVIDIA® based on extensive hardware and data science science experience. RAPIDS utilizes NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar dataframe API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate RAPIDS?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind RAPIDS?

  • 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: 100% Small

What Do G2 Reviewers Say About RAPIDS?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the significantly accelerated data processing with RAPIDS, enhancing efficiency in handling large datasets.
  • Users value the enhanced data processing speed of RAPIDS, benefiting from GPU acceleration for large datasets.
  • Users value the ease of use in RAPIDS, making data processing workflows significantly faster and more efficient.
  • Users appreciate the significant acceleration in data processing workflows, enhancing efficiency for complex analyses and machine learning tasks.
  • Users value the acceleration of data processing with RAPIDS, especially for handling large datasets efficiently.
Cons
  • Users find the difficult learning curve for GPU optimization in RAPIDS challenging, especially due to insufficient documentation.
  • Users find the insufficient training challenging, especially with the steep learning curve for GPU optimization.
  • Users face integration difficulties with RAPIDS, especially regarding documentation and examples for diverse cloud platforms.
  • Users find integration issues with RAPIDS challenging, particularly when working across various cloud platforms.
  • Users note the GPU memory constraints that can hinder working with extremely large datasets in RAPIDS.

What Are Recent G2 Reviews of RAPIDS?

REP

Reproducible Experiment Platform (REP) is a software infrastructure to support collaborative ecosystem for computational science it is a Python based solution for research teams that allows running computational experiments on shared datasets, obtaining repeatable results, and consistent comparisons of the obtained results.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate REP?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 3.3/10 (Category avg: 8.5/10)

Who Is the Company Behind REP?

  • Seller: REP
  • HQ Location: Alexandria, VA
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About REP?

AI-generated summary from verified user reviews

Pros
  • Users value the detailed analytics in REP, enabling them to track reviews and sentiment effectively.
  • Users value the detailed data visualizations from REP, which help analyze reviews and sentiment effectively.

What Are Recent G2 Reviews of REP?

What Are G2 Users Discussing About REP?

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: 4.5/5.0

Total Reviews: 3

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: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (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: 100% 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?

SHOGUN

SHOGUN is large scale machine learning toolbox that unified large-scale learning for a broad range of feature types and learning settings, like classification, regression, or explorative data analysis.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate SHOGUN?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 8.3/10 (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 SHOGUN?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of SHOGUN?

What Are G2 Users Discussing About SHOGUN?

Simplismart

Simplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months saving them hundreds of thousands of dollars in engineering costs. Our platform lets an amateur as well as an expert train and monitor ML models collaboratively on almost any kind of data or use-case. The user just needs to upload the dataset and select which value(s) they want to predict to train the model.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate Simplismart?

  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Simplismart?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Simplismart?

Spectrum Machine Learning

Spectrum Machine Learning provides the processing power to deliver the reliable, real-time insight you need to reduce false positives and make your investigative teams more productive.

Average Rating: 2.5/5.0

Total Reviews: 2

How Do G2 Users Rate Spectrum Machine Learning?

  • Ease of Use: 1.7/10 (Category avg: 8.5/10)
  • Quality of Support: 2.5/10 (Category avg: 8.4/10)

Who Is the Company Behind Spectrum Machine Learning?

  • Seller: Precisely
  • HQ Location: Burlington, Massachusetts
  • Twitter: @PreciselyData
    3,963 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,006 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

Sturdy

Sturdy is an AI account review platform. Sturdy uses account data across every silo to instantly generate strategic account reviews, QBRs, renewal reviews, and more, cutting down hours of work to seconds. Sturdy pulls the most meaningful account data—emails, tickets, call transcripts, Slack, and CRM—into a single, source-linked view of every account. Dashboards tell you what happened; Sturdy lets you ask why and returns a straightforward answer you can verify in the underlying sources—no new dashboards. No copilot. More control tower. Thus, Sturdy provides instant answers, with no meetings required. That's the piece that's always been missing: direct account intelligence on demand—no herding people, no reading charts, no crossing your fingers that an underfed copilot can guess the answer. Lastly, Sturdy updates in real time, because things change fast. And what matters isn't the same for everyone—a minor detail to one team can be a significant signal to another. Sturdy removes that ambiguity. When something meaningful changes, it nudges you with an update. No bias, no forgetting, no hoping someone catches it. This proactive automation is what makes account intelligence actually useful: the data comes to you.

Average Rating: 5.0/5.0

Total Reviews: 9

How Do G2 Users Rate Sturdy?

  • 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: 9.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Sturdy?

  • Seller: Sturdy
  • Year Founded: 2020
  • HQ Location: Portland, US
  • LinkedIn® Page: www.linkedin.com
    31 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About Sturdy?

AI-generated summary from verified user reviews

Pros
  • Users commend Sturdy for its effective problem-solving capabilities, enabling proactive strategies and significant productivity enhancements.
  • Users emphasize the exceptional quality of Sturdy, appreciating its seamless integration and immediate impact on productivity.
  • Users commend Sturdy's fast and effective AI technology, noting significant improvements in customer engagement and retention.
  • Users benefit from significant business growth using Sturdy, seeing notable improvements in retention and engagement.
  • Users value the responsive customer support from Sturdy, enhancing client interactions and driving continuous improvement.

What Are Recent G2 Reviews of Sturdy?

Sweephy

No-code data cleaning and ML platform

Average Rating: 4.0/5.0

Total Reviews: 2

How Do G2 Users Rate Sweephy?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind Sweephy?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Sweephy?

SwiftLearner

SwiftLearner is a scala machine learning library that is easier to follow than the optimized libraries, and easier to tweak it use plain Java types and have few or no dependencies.

Average Rating: 4.3/5.0

Total Reviews: 3

How Do G2 Users Rate SwiftLearner?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 7.5/10 (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 SwiftLearner?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Are Recent G2 Reviews of SwiftLearner?

What Are G2 Users Discussing About SwiftLearner?

TELEXISTENCE

“TELEXISTENCE” is a concept that was first proposed in 1980 by Dr. Susumu Tachi, Professor Emeritus of the University of Tokyo and the chairman of TX inc, which refers to the notion of humans being in a place other than where he or she actually exists and being able to act freely in that remote environment – essentially expanding the presence of human beings – as well as the technological systems that make this possible.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate TELEXISTENCE?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 7.5/10 (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 TELEXISTENCE?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of TELEXISTENCE?

The AI Library

The AI Library is a gamified launchpad aiming to bridge the gap between founders and product users. The AI Library creates a platform that allows product owners to launch their AI, Tech or SaaS products, get thousands of users and gain the exposure they need. The AI Library Gamified Launchpad is an initiative of The AI Colony with three (3) major objectives: To promote and showcase the best AI, tech, and SaaS brands, to help users discover new and emerging AI/Tech and SaaS products weekly and to establish a thriving community for AI and Tech enthusiasts.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate The AI Library?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind The AI Library?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About The AI Library?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the model variety in The AI Library, allowing them to explore numerous advanced AI tools easily.
  • Users appreciate the wide range of advanced AI tools in The AI Library, making cutting-edge technology accessible to all.
  • Users value the ease of use of The AI Library, finding it simple to browse and filter AI tools.
  • Users appreciate the intuitive design of The AI Library, making it easy to browse and filter diverse AI tools.
  • Users value the reliability of AI Library, appreciating its accurate directory and up-to-date reviews for AI tools.
Cons
  • Users find the limited availability of AI tools and lack of reviews frustrating in The AI Library.
  • Users find the lack of available AI tools and insufficient tool reviews frustrating in their experience with The AI Library.

What Are Recent G2 Reviews of The AI Library?

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