Best Machine Learning Software
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Compare the Top Machine Learning Software as of June 2025
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What is Machine Learning Software?
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation. Compare and read user reviews of the best Machine Learning software currently available using the table below. This list is updated regularly.
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1
JADBio AutoML
JADBio
JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. Life scientists need it to understand what are the features and biomarkers that are predictive and important, what is their role, and get intuition about the molecular mechanisms involved. Knowledge discovery is often more important than a predictive model. So, JADBio focuses on feature selection and its interpretation.Starting Price: Free -
2
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. -
3
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. -
4
Seebo
Seebo Interactive
Seebo enables process manufacturers to predict and prevent unexpected process inefficiencies that continually damage production yield and quality. The company’s solutions empower production teams to discover their most painful losses and when they will happen next. Seebo solutions serve manufacturers across industries – including Nestle, Procter & Gamble, Hovis, Super Bock, Allnex, and many more. Production teams use the Seebo digital twin on a daily basis to turn actionable and accurate predictive insights into timely action that drives continuous improvement in throughput and quality. Proprietary Artificial Intelligence technology pioneered by Seebo, is designed to prevent quality and yield losses. Artificial intelligence your manufacturing teams can use. Know when to act to prevent inefficiencies. Seebo's proprietary AI technology provides unique benefits to manufacturers. -
5
Fido
Fido
Fido is a light-weight, open-source, and highly modular C++ machine learning library. The library is targeted towards embedded electronics and robotics. Fido includes implementations of trainable neural networks, reinforcement learning methods, genetic algorithms, and a full-fledged robotic simulator. Fido also comes packaged with a human-trainable robot control system as described in Truell and Gruenstein. While the simulator is not in the most recent release, it can be found for experimentation on the simulator branch. -
6
Materials Zone
Materials Zone
From materials data to better products, faster! Accelerates R&D, scale-up, and optimizes manufacturing QC and supply chain decisions. Discover new materials, use ML guidance to forecast outcomes, and achieve faster and improved results. Build a model on your way to production. Test the model's limits behind your products to design cost-efficient and robust production lines. Use models to predict future failures based on supplied materials informatics and production line parameters. The Materials Zone platform aggregates data from independent entities, materials providers, factories, or manufacturing facilities, communicating between them through a secured platform. By using machine learning (ML) algorithms on your experimental data, you can discover new materials with desired properties, generate ‘recipes’ for materials synthesis, build tools to analyze unique measurements automatically, and retrieve insights. -
7
Digital Twin Studio
CreateASoft
Data Driven Digital Twin toolset to help you Visualize, Monitor, and Optimize your operation in Real-Time using machine learning and AI. Control your Cost of SKU, Resources, Automation, Equipment and more. Real-Time Visibility and Traceability - Digital Twin Shadow Technology. Digital Twin Studio® Open Architecture enables it to interact with a multitude of RTLS and data systems – RFID, BarCode, GPS, PLC, WMS, EMR, ERP, MRP, or RTLS systems Digital Twin with AI and Machine Learning - Predictive Analytics and Dynamic Scheduling Real-time predictive analytics deliver insights via notifications when issues are identified before they occur with state of the art Digital Twin Technology Digital Twin Replay - View Past Events and Setup Active Alerts. Digital Twin Studio can replay and animate all past events through 2D, 3D and VR. Digital Twin Live Real-Time Metrics - Dynamic Dashboards - Simple drag and drop dashboard builder with unlimited layout capabilities.
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