Best Data Science and Machine Learning Platforms - Page 78

How Many Data Science and Machine Learning Platforms Products Does G2 Track?

Total Products under this Category: 1,649

Category Stats (Sep 2026)

  • Average Rating: 4.46/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Anyscale (+4.14%) - Among all products in this category, Anyscale recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Data Science and Machine Learning Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,400+ Authentic Reviews
  • 1,649+ 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 Data Science and Machine Learning Platforms

G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence

Highlighted products: Databricks, Gemini Enterprise Agent Platform, SAS Viya, Google Cloud AutoML, Snowflake, IBM watsonx.data, MATLAB, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=matlab&focus%5B%5D=dataiku)

Physicl

Who Is the Company Behind Physicl?

  • Seller: Physicl
  • Year Founded: 2025
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Physics AI

Physics AI is an advanced platform designed to revolutionize the field of physics through the integration of artificial intelligence. By leveraging cutting-edge machine learning algorithms, it enables researchers, educators, and students to analyze complex physical phenomena with unprecedented accuracy and efficiency. The platform offers a suite of tools that facilitate data modeling, simulation, and predictive analysis, thereby accelerating the pace of discovery and innovation in physics. Key Features and Functionality: - Data Modeling and Simulation: Physics AI provides robust tools for creating and analyzing models of physical systems, allowing users to simulate various scenarios and predict outcomes with high precision. - Machine Learning Integration: The platform incorporates advanced machine learning techniques to identify patterns and correlations in complex datasets, enhancing the understanding of intricate physical processes. - User-Friendly Interface: Designed with accessibility in mind, Physics AI offers an intuitive interface that caters to both seasoned physicists and newcomers, ensuring a seamless user experience. - Collaborative Environment: The platform supports collaborative projects, enabling teams to work together in real-time, share insights, and collectively advance their research objectives. Primary Value and Problem Solving: Physics AI addresses the challenges of analyzing and interpreting complex physical data by providing a powerful, AI-driven platform that simplifies these processes. It empowers users to conduct sophisticated simulations and predictive analyses without requiring extensive computational resources or deep expertise in machine learning. By streamlining these tasks, Physics AI accelerates research timelines, enhances educational experiences, and fosters innovation in the field of physics.

Who Is the Company Behind Physics AI?

Picterra

Who Is the Company Behind Picterra?

  • Seller: Picterra
  • Year Founded: 2016
  • HQ Location: Lausanne, CH
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

Picture Health

Picture Health is at the forefront of precision oncology, offering AI-powered diagnostic tools that enhance treatment selection and patient outcomes. By collaborating with academic institutions and biopharmaceutical companies, Picture Health develops interpretable AI biomarkers applicable throughout a patient's cancer journey—from clinical trial cohorts to treatment selection and progress monitoring. These tools are designed for seamless integration into healthcare systems, accessible via a cloud-based platform or directly within a clinician's workflow. Key Features and Functionality: - AI Imaging Biomarkers: Utilizes advanced artificial intelligence to quantify tumor properties from radiology and pathology images, providing novel insights into treatment response. - Customizable Solutions: Offers tailored AI imaging biomarkers to improve clinical trials, enabling rapid patient stratification and optimization of enrollment criteria. - Seamless Integration: Designed for easy access through a cloud-based platform or integration into existing healthcare systems, enhancing clinical workflows. - Collaborative Development: Partners with biopharmaceutical teams and academic institutions to drive innovation in oncology diagnostics. Primary Value and User Solutions: Picture Health addresses the need for precise, efficient, and accessible oncology diagnostics. By providing AI-driven tools that interpret complex imaging data, it empowers oncologists to make informed treatment decisions, optimize clinical trial processes, and monitor patient progress effectively. This leads to improved patient outcomes, streamlined clinical workflows, and accelerated advancements in cancer treatment.

Who Is the Company Behind Picture Health?

Pingthings

PingThings offers the PredictiveGrid™ Platform, an advanced sensor analytics solution designed to ingest, store, visualize, and analyze high-density time series data from various grid sensors. This platform enables utilities and energy companies to manage and interpret vast amounts of sensor data with nanosecond temporal resolution, facilitating real-time monitoring and decision-making. By integrating machine learning and AI capabilities, PredictiveGrid™ empowers users to detect anomalies, predict system behaviors, and enhance grid reliability and efficiency. Key Features and Functionality: - High-Performance Data Ingestion and Storage: Capable of handling time series data up to 1GHz per stream, the platform efficiently manages both streaming and historical data from diverse sensor types, including synchrophasors, digital fault recorders, and smart meters. - Advanced Analytics and Machine Learning Integration: Utilizes open-source ML and AI tools for anomaly detection, predictive analytics, and more, enabling users to develop and deploy custom analytical applications without extensive web development expertise. - Scalable and Flexible Deployment: Designed for horizontal scalability, the platform can be tailored to meet the specific needs of organizations and sensor fleets, with deployment options in cloud environments like AWS and Azure, as well as on-premise configurations. - Comprehensive Data Management: Supports ingestion from virtually any sensor type, captures essential asset and sensor information, and incorporates geospatial data to contextualize sensor placements within the physical grid. - User-Friendly Interfaces and APIs: Offers extensive and performant APIs for data interaction in preferred programming languages, along with tools for building and deploying web-based dashboards and analytical applications. Primary Value and Problem Solved: The PredictiveGrid™ Platform addresses the challenges of managing and analyzing massive volumes of high-frequency sensor data in the energy sector. By providing a scalable, high-performance solution, it enables utilities to enhance grid reliability, integrate renewable energy sources more effectively, and make data-driven decisions to optimize operations. The platform's advanced analytics and machine learning capabilities allow for proactive maintenance, anomaly detection, and predictive insights, ultimately contributing to a more resilient and efficient energy grid.

Who Is the Company Behind Pingthings?

Pinside

Pinside is an AI-powered platform designed to enhance the efficiency and effectiveness of business operations by automating complex processes and providing insightful analytics. It leverages advanced machine learning algorithms to deliver real-time data analysis, predictive modeling, and intelligent decision-making support. Pinside's intuitive interface ensures seamless integration with existing systems, enabling organizations to optimize workflows, reduce operational costs, and drive innovation. By transforming raw data into actionable insights, Pinside empowers businesses to stay competitive in a rapidly evolving market landscape. Key Features and Functionality: - Automated Data Analysis: Processes large datasets swiftly to uncover patterns and trends. - Predictive Modeling: Utilizes historical data to forecast future outcomes and inform strategic planning. - Intelligent Decision Support: Offers recommendations based on data-driven insights to enhance decision-making. - Seamless Integration: Easily integrates with existing business systems and software. - User-Friendly Interface: Provides an intuitive dashboard for monitoring and managing operations. Primary Value and Solutions Provided: Pinside addresses the challenge of managing and interpreting vast amounts of data by automating analytical processes and delivering precise insights. This enables businesses to make informed decisions quickly, improve operational efficiency, and identify new growth opportunities. By reducing the reliance on manual data analysis, Pinside minimizes human error and frees up valuable resources, allowing organizations to focus on strategic initiatives and innovation.

Who Is the Company Behind Pinside?

PipeBio

PipeBio is a cloud-based bioinformatics platform designed to streamline the discovery and development of biologics, including antibodies, T-cell receptors (TCRs), and peptides. It offers scientists and bioinformaticians a comprehensive suite of tools for analyzing, visualizing, and managing large-scale sequence data, facilitating faster and more efficient research processes. Key Features and Functionality: - Sequence Analysis: Supports the analysis of B-cell receptors (BCR), TCRs, single-chain variable fragments (scFv), variable heavy domains (VHH), and peptides, enabling detailed examination and annotation of sequences. - Automated Workflows: Allows users to configure and execute end-to-end workflows, automating the identification of candidate sequences from extensive next-generation sequencing (NGS) antibody repertoires, hybridoma sequencing, and biopanning experiments. - Sequence Database and Storage: Provides a centralized database to store antibody sequences, associate relevant metadata such as target specificity and binding affinity, and compare new experimental sequences with existing data. - Integration and API: Offers integration capabilities with electronic lab notebooks (ELN), laboratory information management systems (LIMS), and internal tools through a REST API, facilitating seamless data exchange and workflow automation. - Visualization Tools: Includes interactive charts and plots to visualize sequence clusters, amino acid frequencies, codon usage, sequence quality, and phylogenetic relationships, enhancing data interpretation. - Antibody Engineering: Features tools for editing sequences at the nucleotide or protein level, calculating protein properties, optimizing codons for synthesis, and analyzing hydrophobicity, supporting the engineering of improved antibody candidates. Primary Value and Problem Solved: PipeBio addresses the challenges associated with managing and analyzing large-scale sequence data in biologics research. By providing an integrated, user-friendly platform, it enables researchers to efficiently process and interpret complex datasets, identify promising candidates, and accelerate the development of therapeutic biologics. The platform's automation and integration capabilities reduce manual tasks, minimize errors, and enhance collaboration, ultimately leading to faster and more effective drug discovery processes.

Who Is the Company Behind PipeBio?

  • Seller: PipeBio
  • Year Founded: 2020
  • HQ Location: Aarhus C, DK
  • LinkedIn® Page: www.linkedin.com
    4,069 employees on LinkedIn®

PipeRiv

PipeRiv is a web-based platform designed to provide professionals in the natural gas, oil, and power industries with seamless access to vital data. By centralizing and normalizing public data, PipeRiv offers a consistent and user-friendly interface accessible across various devices, including mobile phones. This ensures that energy sector professionals can retrieve, analyze, and share industry-specific data efficiently, enhancing decision-making and operational effectiveness. Key Features and Functionality: - Data Processing and Normalization: PipeRiv processes data from diverse sources, such as PDFs and Excel files, transforming it into a consistent and easily accessible format. This allows users to quickly access the information they need, regardless of the original source or format. - Cross-Device Accessibility: The platform offers a mobile-friendly design, enabling users to access data seamlessly across various devices, including smartphones. This ensures that professionals can stay informed and make decisions on the go. - Data Centralization: By aggregating data from public sources, PipeRiv provides a unified view of market trends and activities. This eliminates the need to search across multiple platforms, simplifying the process of gaining a comprehensive understanding of the market. Primary Value and Problem Solved: PipeRiv addresses the challenge of fragmented and inconsistent data in the energy sector. By offering a centralized platform with consistently formatted data, it empowers professionals to make informed decisions swiftly. The mobile accessibility ensures that users have critical information at their fingertips, enhancing responsiveness and operational efficiency. Ultimately, PipeRiv streamlines workflows, reduces the time spent on data gathering, and provides clear, contextualized insights into market dynamics.

Who Is the Company Behind PipeRiv?

Pixalytica

Pixalytica is an advanced data analytics platform designed to empower businesses with actionable insights through comprehensive data visualization and analysis tools. By integrating seamlessly with various data sources, Pixalytica enables organizations to make informed decisions, optimize operations, and drive growth. Key Features and Functionality: - Data Integration: Connects with multiple data sources, including databases, cloud services, and APIs, ensuring a unified view of all business data. - Interactive Dashboards: Offers customizable dashboards that provide real-time insights and facilitate data-driven decision-making. - Advanced Analytics: Utilizes machine learning algorithms to identify trends, patterns, and anomalies within datasets. - Collaboration Tools: Supports team collaboration by allowing users to share reports, dashboards, and insights securely. - Scalability: Designed to handle large volumes of data, making it suitable for businesses of all sizes. Primary Value and Solutions Provided: Pixalytica addresses the challenge of data fragmentation by offering a centralized platform for data analysis. It empowers users to uncover hidden insights, predict future trends, and make strategic decisions based on data-driven evidence. By simplifying complex data processes, Pixalytica enhances operational efficiency, reduces time spent on manual data analysis, and fosters a culture of informed decision-making within organizations.

Who Is the Company Behind Pixalytica?

Pixela AI

Pixela AI is an innovative platform designed to streamline the process of creating and managing visual representations of data, such as graphs and charts. It offers a user-friendly interface that allows users to generate and customize visual data representations without requiring extensive technical knowledge. Key Features and Functionality: - Data Visualization: Enables users to create various types of graphs and charts to represent data effectively. - Customization: Offers tools to tailor visualizations to specific needs, including color schemes, labels, and data points. - User-Friendly Interface: Designed for ease of use, allowing users to create visualizations without prior experience. - Integration: Supports integration with other platforms and tools to enhance data analysis capabilities. Primary Value and Problem Solved: Pixela AI addresses the challenge of data visualization by providing an accessible and efficient solution for users to create and manage visual data representations. It eliminates the need for complex software or technical expertise, enabling individuals and organizations to effectively communicate data insights through customized graphs and charts.

Who Is the Company Behind Pixela AI?

PLAIO

Who Is the Company Behind PLAIO?

  • Seller: PLAIO
  • Year Founded: 2021
  • HQ Location: Reykjavík, IS
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®
Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 22, 2026