Page 7 | Best Machine Learning Software of 2025

Mona

Gain complete visibility into the performance of your data, models, and processes with the most flexible monitoring solution. Automatically surface and resolve performance issues within your AI/ML or intelligent automation processes to avoid negative impacts on both your business and customers. Learning how your data, models, and processes perform in the real world is critical to continuously improving your processes. Monitoring is the ‘eyes and ears' needed to observe your data and workflows to tell you if they’re performing well. Mona exhaustively analyzes your data to provide actionable insights based on advanced anomaly detection mechanisms, to alert you before your business KPIs are hurt. Take stock of any part of your production workflows and business processes, including models, pipelines, and business outcomes. Whatever datatype you work with, whether you have a batch or streaming real-time processes, and for the specific way in which you want to measure your performance.

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Lightning AI

Use our platform to build AI products, train, fine tune and deploy models on the cloud without worrying about infrastructure, cost management, scaling, and other technical headaches. Train, fine tune and deploy models with prebuilt, fully customizable, modular components. Focus on the science and not the engineering. A Lightning component organizes code to run on the cloud, manage its own infrastructure, cloud costs, and more. 50+ optimizations to lower cloud costs and deliver AI in weeks not months. Get enterprise-grade control with consumer-level simplicity to optimize performance, reduce cost, and lower risk. Go beyond a demo. Launch the next GPT startup, diffusion startup, or cloud SaaS ML service in days not months.

Starting Price: $10 per credit

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Edge Impulse

Build advanced embedded machine learning applications without a PhD. Collect sensor, audio, or camera data directly from devices, files, or cloud integrations to build custom datasets. Leverage automatic labeling tools from object detection to audio segmentation. Set up and run reusable scripted operations that transform your input data on large sets of data in parallel by using our cloud infrastructure. Integrate custom data sources, CI/CD tools, and deployment pipelines with open APIs. Accelerate custom ML pipeline development with ready-to-use DSP and ML algorithms. Make hardware decisions based on device performance and flash/RAM every step of the way. Customize DSP feature extraction algorithms and create custom machine learning models with Keras APIs. Fine-tune your production model with visualized insights on datasets, model performance, and memory. Find the perfect balance between DSP configuration and model architecture, all budgeted against memory and latency constraints.

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Amazon DevOps Guru

Amazon

Amazon DevOps Guru is a machine learning (ML)-powered service designed to make it easy to improve the operational performance and availability of an application. DevOps Guru helps detect behaviors that deviate from normal operating patterns, so you can identify operational errors long before they affect your customers. DevOps Guru uses ML models with information collected over years by Amazon.com and AWS Operational Excellence to identify anomalous application behavior (for example, increased latency, error rates, resource limitations, etc.) and helps detect critical errors that could potentially cause service interruptions. When the DevOps Guru identifies a critical issue, it automatically sends an alert and provides a summary of related anomalies, the likely root cause, and context on when and where the issue occurred.

Starting Price: $0.0028 per resource per hour

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Datoin

Datoin removes the barrier to entry into Machine Learning using Graphical Interface and No-Code approach. It is designed to rapidly translate your vision into reality. The best way to cut the cost is to re-use over and over again. The Datoin’s Block Superstore offers a large pool of blocks ranging from enterprise software connectors, ETL tools, machine learning libraries, NLP libraries, cloud services integration, SaaS APIs etc. Goodness with Datoin is, as we cover more and more use cases, the blocks are added to the store. The pre-built machine learning models eliminate the need to train first and helps to get started quickly. We have built and building blocks that solve common problems across industries and functional area. If you are unsure about specific functionality, efficacy etc, quickly try them out by editing existing apps.

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Tecton

Deploy machine learning applications to production in minutes, rather than months. Automate the transformation of raw data, generate training data sets, and serve features for online inference at scale. Save months of work by replacing bespoke data pipelines with robust pipelines that are created, orchestrated and maintained automatically. Increase your team’s efficiency by sharing features across the organization and standardize all of your machine learning data workflows in one platform. Serve features in production at extreme scale with the confidence that systems will always be up and running. Tecton meets strict security and compliance standards. Tecton is not a database or a processing engine. It plugs into and orchestrates on top of your existing storage and processing infrastructure.

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Scribble Data

Scribble Data empowers organizations to enrich their raw data and easily transform it to enable reliable and fast decision-making for persistent business problems. Data-driven decision support for your business. A data-to-decision platform that helps you generate high-fidelity insights to automate decision-making. Solve your persistent business decision-making problems instantly with advanced analytics powered by machine learning. Rest easy and focus your energy on critical tasks, while Enrich does the heavy lifting to ensure the availability of reliable and trustworthy data for decision-making. Leverage customized data-driven workflows for easy consumption of data, and reduce your dependence on data science and machine learning engineering teams. Go from concept to operational data product in a few weeks, not months with feature engineering capabilities that can prepare high volume and high complexity data at scale.

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WEKA

WEKA provides a high-performance data platform optimized for AI and machine learning, offering scalable solutions for businesses and research labs. With the ability to handle vast amounts of data across on-premises, cloud, and hybrid environments, WEKA accelerates data workflows, enabling faster AI training, inference, and high-performance computing (HPC). The platform features infinite scalability, simplifying data storage, and providing seamless access to data across multiple locations. WEKA's environmentally conscious approach minimizes energy consumption, making it ideal for organizations aiming for both performance and sustainability in AI-driven projects.

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MLReef

MLReef enables domain experts and data scientists to securely collaborate via a hybrid of pro-code & no-code development approaches. 75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster. Domain experts and data scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong. MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time. You can use already well-known and established git repositories to create explorable, interoperable, and versioned AI modules. AI Modules created by your data scientists become drag-and-drop elements. These are adjustable by parameters, versioned, interoperable, and explorable within your entire organization. Data handling often requires expert knowledge that a single data scientist often lacks. MLReef enables your field experts to relieve your data processing task, reducing complexities.

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Amazon Lookout for Metrics

Amazon

Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes.

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Deeploy

Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control, and compliance. Nowadays, transparency, explainability, and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility. Over the years, we experienced the importance of human involvement with machine learning. Only when machine learning systems are explainable and accountable, experts and consumers can provide feedback to these systems, overrule decisions when necessary and grow their trust. That’s why we created Deeploy.

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Scale Data Engine

Scale AI

Scale Data Engine helps ML teams build better datasets. Bring together your data, ground truth, and model predictions to effortlessly fix model failures and data quality issues. Optimize your labeling spend by identifying class imbalance, errors, and edge cases in your data with Scale Data Engine. Significantly improve model performance by uncovering and fixing model failures. Find and label high-value data by curating unlabeled data with active learning and edge case mining. Curate the best datasets by collaborating with ML engineers, labelers, and data ops on the same platform. Easily visualize and explore your data to quickly find edge cases that need labeling. Check how well your models are performing and always ship the best one. Easily view your data, metadata, and aggregate statistics with rich overlays, using our powerful UI. Scale Data Engine supports visualization of images, videos, and lidar scenes, overlaid with all associated labels, predictions, and metadata.

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Chalk

Powerful data engineering workflows, without the infrastructure headaches. Complex streaming, scheduling, and data backfill pipelines, are all defined in simple, composable Python. Make ETL a thing of the past, fetch all of your data in real-time, no matter how complex. Incorporate deep learning and LLMs into decisions alongside structured business data. Make better predictions with fresher data, don’t pay vendors to pre-fetch data you don’t use, and query data just in time for online predictions. Experiment in Jupyter, then deploy to production. Prevent train-serve skew and create new data workflows in milliseconds. Instantly monitor all of your data workflows in real-time; track usage, and data quality effortlessly. Know everything you computed and data replay anything. Integrate with the tools you already use and deploy to your own infrastructure. Decide and enforce withdrawal limits with custom hold times.

Starting Price: Free

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Baidu AI Cloud Machine Learning (BML)

Baidu

Baidu AI Cloud Machine Learning (BML), an end-to-end machine learning platform designed for enterprises and AI developers, can accomplish one-stop data pre-processing, model training, and evaluation, and service deployments, among others. The Baidu AI Cloud AI development platform BML is an end-to-end AI development and deployment platform. Based on the BML, users can accomplish the one-stop data pre-processing, model training and evaluation, service deployment, and other works. The platform provides a high-performance cluster training environment, massive algorithm frameworks and model cases, as well as easy-to-operate prediction service tools. Thus, it allows users to focus on the model and algorithm and obtain excellent model and prediction results. The fully hosted interactive programming environment realizes the data processing and code debugging. The CPU instance supports users to install a third-party software library and customize the environment, ensuring flexibility.

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Zerve AI

Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure. Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. Fine-grained selection of compute resources and extra memory for complex data transformation.

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Nebius

Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.

Starting Price: $2.66/hour

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Pathway

Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.

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Almeta ML

Almeta Cloud

Almeta ML is the easiest way to run machine learning calculations on your website. Calculate propensity to purchase or churn, product recommendations, best time to contact and other metrics for your users. Run a promotion, retarget with ads, make a customized offer, send a campaign. Use with Google Ads, Facebook Ads, Bing Ads or any other advertising network. Get insights into user behavior to enable ML-driven scoring, targeting and personalization. Run pre-built or custom models. Use ML insights, scores and metrics to maximize ROAS and minimize churn. Almeta ML offers usage-based pricing with a free tier. You pay only for what you use, depending on how many events you want to track and how many model calculations you want to run.

Starting Price: $0

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Emly Labs

Emly Labs is an AI framework designed to make AI accessible for users at all technical levels through a user-friendly platform. It offers AI project management with tools for guided workflows and automation for faster execution. The platform encourages team collaboration and innovation, provides no-code data preparation, and integrates external data for robust AI models. Emly AutoML automates data processing and model evaluation, reducing human input. It prioritizes transparency, with explainable AI features and robust auditing for compliance. Security measures include data isolation, role-based access, and secure integrations. Additionally, Emly's cost-effective infrastructure allows on-demand resource provisioning and policy management, enhancing experimentation and innovation while reducing costs and risks.

Starting Price: $99/month

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B2Metric

Customer intelligence data platform that helps brands analyze and predict user behavior across multi-channels. Analyze your data quickly and accurately. Identify customer behavior patterns and trends to make informed decisions with the power of AI and ML solutions. B2Metric can integrate with endless sources including databases you use the most. Optimize your retention strategies by predicting customer churn and taking preventive actions accordingly. Categorize customers into distinct groups based on their behaviors, characteristics, and preferences to enable targeted marketing. Refine marketing strategies using data-driven insights to enhance performance, targeting, personalization, and budget optimization. Provide unique customer experiences by optimizing touchpoints and tailoring marketing efforts. AI-based marketing analytics that reduces user churn & increases growth. Identify your customers at risk of churn and develop proactive retention strategies with advanced ML algorithms.

Starting Price: $99 per month

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Amazon EC2 Trn1 Instances

Amazon

Amazon Elastic Compute Cloud (EC2) Trn1 instances, powered by AWS Trainium chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and latent diffusion models. Trn1 instances offer up to 50% cost-to-train savings over other comparable Amazon EC2 instances. You can use Trn1 instances to train 100B+ parameter DL and generative AI models across a broad set of applications, such as text summarization, code generation, question answering, image and video generation, recommendation, and fraud detection. The AWS Neuron SDK helps developers train models on AWS Trainium (and deploy models on the AWS Inferentia chips). It integrates natively with frameworks such as PyTorch and TensorFlow so that you can continue using your existing code and workflows to train models on Trn1 instances.

Starting Price: $1.34 per hour

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Amazon EC2 Inf1 Instances

Amazon

Amazon EC2 Inf1 instances are purpose-built to deliver high-performance and cost-effective machine learning inference. They provide up to 2.3 times higher throughput and up to 70% lower cost per inference compared to other Amazon EC2 instances. Powered by up to 16 AWS Inferentia chips, ML inference accelerators designed by AWS, Inf1 instances also feature 2nd generation Intel Xeon Scalable processors and offer up to 100 Gbps networking bandwidth to support large-scale ML applications. These instances are ideal for deploying applications such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization, and fraud detection. Developers can deploy their ML models on Inf1 instances using the AWS Neuron SDK, which integrates with popular ML frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing for seamless migration with minimal code changes.

Starting Price: $0.228 per hour

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Amazon EC2 G5 Instances

Amazon

Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine-learning use cases. They deliver up to 3x better performance for graphics-intensive applications and machine learning inference and up to 3.3x higher performance for machine learning training compared to Amazon EC2 G4dn instances. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and gaming to produce high-fidelity graphics in real time. With G5 instances, machine learning customers get high-performance and cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing, computer vision, and recommender engine use cases. G5 instances deliver up to 3x higher graphics performance and up to 40% better price performance than G4dn instances. They have more ray tracing cores than any other GPU-based EC2 instance.

Starting Price: $1.006 per hour

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Huawei Cloud ModelArts

Huawei Cloud

ModelArts is a comprehensive AI development platform provided by Huawei Cloud, designed to streamline the entire AI workflow for developers and data scientists. It offers a full-lifecycle toolchain that includes data preprocessing, semi-automated data labeling, distributed training, automated model building, and flexible deployment options across cloud, edge, and on-premises environments. It supports popular open source AI frameworks such as TensorFlow, PyTorch, and MindSpore, and allows for the integration of custom algorithms tailored to specific needs. ModelArts features an end-to-end development pipeline that enhances collaboration across DataOps, MLOps, and DevOps, boosting development efficiency by up to 50%. It provides cost-effective AI computing resources with diverse specifications, enabling large-scale distributed training and inference acceleration.

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ClearScape Analytics

Teradata

ClearScape Analytics is Teradata's advanced analytics engine, offering powerful, open, and connected AI/ML capabilities designed to deliver better answers and faster results. It provides robust in-database analytics, enabling users to solve complex problems with extensive in-database analytic functions. It supports various languages and APIs, achieving frictionless connectivity with best-in-class open source and partner AI/ML tools. With the "Bring Your Own Analytics" feature, organizations can operationalize all their models, even those developed in other tools. ModelOps accelerates time to value by reducing deployment time from months to days, allowing for the automation of model scoring and enabling production scoring. It allows users to derive value faster from generative AI use cases with open-source large language models.

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CCH Tagetik

Wolters Kluwer

Companies trust CCH Tagetik Corporate Performance Management software to save time, lower costs and reduce risk. Get a faster close, more forward looking-planning and in-depth analytics by connecting data, processes and people with a single trusted source. CCH Tagetik Finance Transformation Platform, powered by the Analytic Information Hub, is the unified platform that connects finance and operations and streamlines your consolidation & close, planning, reporting & analytics, disclosures and compliance.

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NAVIK AI Platform

Absolutdata Analytics

An Advanced Analytics Software Platform That Helps Sales, Marketing, Technology, and Operations Leaders Make Great Business Decisions Based on Powerful Data-Driven Insights. Addresses the breadth of AI needs across data infrastructure, data engineering and data analytics. UI, workflows and proprietary algorithms are tuned to the unique needs of each client. Components are modular enabling custom configurations. Supports, augments and automates decision making. Elimination of human biases drives better business outcomes. The AI adoption rate is unprecedented. To stay competitive, leading companies need a rapid implementation strategy that scales. To create scalable business impact, combine these four distinct capabilities.

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Orange

University of Ljubljana

Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that.

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Analance

Ducen

Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform. Analance is a robust, salable end-to-end platform that combines Data Science, Advanced Analytics, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. Company – Overview Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics, business intelligence and data management through its unique end-to-end data science platform called Analance.

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FARO Sphere XG

FARO Technologies, Inc.

FARO Sphere XG is a cloud-based digital reality platform that provides its users a centralized, collaborative experience across the company’s reality capture and 3D modeling applications. When paired with the Stream mobile app, Sphere XG enables faster 3D data capture, processing and project management from anywhere in the world. Sphere XG systematizes every activity while remaining intuitive to navigate, allowing users the ability to better organize their 3D scans and 360° photos alongside 3D models and manage that data across diverse teams around the world. With Sphere XG, 3D point clouds and 360° photo documentation can be viewed and shared all in one place, aligned to a floorplan and viewable over time. Ideal for 4D construction progress management where the ability to compare elements over time is critical, project managers and VDC managers can better democratize data and eliminate the need to use two platforms for their reality capture needs.

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Best Machine Learning Software - Page 7

Compare the Top Machine Learning Software as of August 2025 - Page 7