Best Machine Learning Software for Mac - Page 2
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Compare the Top Machine Learning Software for Mac as of August 2025 - Page 2
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1
ML.NET
Microsoft
ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.Starting Price: Free -
2
Inventale
Inventale
Having 20+ years of programming background, Inventale specializes in the development of high-quality software engineering projects. Our expertise lies in forecasting and recommendation systems built on unstructured data, Big-Data processing and analytics, video recognition, geo-locations, and audience analysis in different spheres, including online advertising, logistics, finance, medicine, biology, HR, law, and many others. Also, we have not only developed a first-class platform for publishers and media companies, but we have successfully promoted it to the global market. In 2021, the product was acquired by BURT Intelligence to complement their platform. Inventale has: - an extensive experience in working with major global companies, market leaders and small businesses, and ambitious startups from the USA, the UK, Europe, and MENA Region; - 20+ clients worldwide; - 40+ enthusiastic professionals, ready to bring your ideas to life.Starting Price: $25,000 -
3
Arria NLG Studio
Arria NLG
Arria NLG Studio is an Artificial Intelligence (AI) solution developed by Arria NLG for use by companies both in the enterprise market as well as small and medium size businesses. The Arria NLG Studio platform empowers companies to replicate the human process of expertly analyzing and communicating data insights in language humans can quickly understand. Arria’s software is used to generate insights in language such as financial analysists, spotting trends, identifying problems, and forecasting what's likely to happen next. Using Arria's patented NLG technology, the Company has created mulitiple SaaS-based solutions which provide industry specific reports with relevant details, in seconds. This is the next-generation of business intelligence and data reporting platforms. Arria NLG Studio offers API access and can be easily integrated with any software platform. -
4
RapidMiner
Altair
RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. Simplify operations, no matter how complex models are, or how they were created. Deploy, evaluate, compare, monitor, manage and swap any model. Solve your business issues faster with sharper insights and predictive models, no one understands the business problem like you do.Starting Price: Free -
5
NovaFori
NovaFori
We are a cutting-edge technology company based in London and Malaga, with a decade of experience in combining business analysis, marketplace design, development and data science. Our technology supports B2B and B2C clients in Europe, North America and Asia, with over $11 billion GMV transacted through our platforms since inception. Our auction and trading platform, powered by data science, is deployed across multiple industries, including commodities, financial services, logistics and procurement. The technology platform is flexible, scalable and modular, designed with a B2C user experience and complex product attributes of the B2B world in mind. We leverage data by using machine learning algorithms to understand what's happening in the market, predict future trends and optimise marketplace performance. -
6
AllegroGraph
Franz Inc.
AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience. -
7
Tecton
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. -
8
Pathway
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. -
9
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. -
10
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. -
11
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. -
12
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. -
13
Vanillatech Labs
Vanillatech
We developed a neuro-bio inspired generic deep learning algorithm that works as simple as an intelligence test. It automatically detects and predicts patterns and allows you to build intelligent apps easily. Our software is easy to use because it offers a straightforward and well defined REST api which allows you to build intelligent apps from any environment. This way you can connect e.g. JavaScript applications, spreadsheets or even your online broker. Our service is free to use for development and testing purposes. Our community edition is open source licensed under SSPL. Vanillatech ML Workstation is the ready-to-use software which runs on your local machine. If you require adaptions or support please contact us for an individual offer. -
14
DataStories
DataStories International
According to Forrester research, between 60% and 73% of all data within an enterprise goes unused for analytics. See how we can help you maximise the value of your data. DataStories made advanced machine learning explainable and easy to use for business people. DataStories Platform is an A.I. tool that simply explains you in an intuitive manner and under 30 minutes how to understand, predict and steer your business targets based on the business and context data. DataStories is on a mission to empower everyone take data-driven decisions. We offer a self-service analytics platform to business experts who are often left out from analytics because of complexity of other tools. You can now run analytics yourself and share the results in a form of explainable and interactive data stories, which can be exported into PowerPoint. -
15
Luminoso
Luminoso Technologies Inc.
Luminoso turns unstructured text data into business-critical insights. Using common-sense artificial intelligence to understand language, we empower organizations to discover, interpret, and act on what people are telling them. Requiring little setup, maintenance, training, or data input, Luminoso combines world-leading natural language understanding technology with a vast knowledge base to learn words from context – like humans do – and accurately analyze text in minutes, not months. Our software provides native support in over a dozen languages, so leaders can explore relationships in data, make sense of feedback, and triage inquiries to drive value, fast. Luminoso is privately held and headquartered in Boston, MA.Starting Price: $1250/month -
16
Sixgill Sense
Sixgill
Every step of the machine learning and computer vision workflow is made simple and fast within one no-code platform. Sense allows anyone to build and deploy AI IoT solutions to any cloud, the edge or on-premise. Learn how Sense provides simplicity, consistency and transparency to AI/ML teams with enough power and depth for ML engineers yet easy enough to use for subject matter experts. Sense Data Annotation optimizes the success of your machine learning models with the fastest, easiest way to label video and image data for high-quality training dataset creation. The Sense platform offers one-touch labeling integration for continuous machine learning at the edge for simplified management of all your AI solutions. -
17
Intellimize
Intellimize
With your marketing ideas and our machine learning, you can optimize your web site for every single visitor. Simultaneously test all of your most creative marketing ideas to constantly showcase the messaging, content, and experiences that performs best. This is way beyond A/B testing and old-school, rules-based personalization. This is the new standard for high-converting landing pages across your website. This is Continuous Conversion™—and it changes… everything. -
18
SHARK
SHARK
SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques. It serves as a powerful toolbox for real-world applications as well as research. Shark depends on Boost and CMake. It is compatible with Windows, Solaris, MacOS X, and Linux. Shark is licensed under the permissive GNU Lesser General Public License. Shark provides an excellent trade-off between flexibility and ease-of-use on the one hand, and computational efficiency on the other. Shark offers numerous algorithms from various machine learning and computational intelligence domains in a way that they can be easily combined and extended. Shark comes with a lot of powerful algorithms that are to our best knowledge not implemented in any other library. -
19
Sama
Sama
We offer the highest quality SLA (>95%), even on the most complex workflows. Our team assists with anything from implementing a robust quality rubric to raising edge cases. As an ethical AI company, we have provided economic opportunities for over 52,000 people from underserved and marginalized communities. ML Assisted annotation created up to 3-4x efficiency improvement for a single class annotation. We quickly adapt to ramp-ups, focus shifts, and edge cases. ISO certified delivery centers, biometric authentication, and user authentication with 2FA ensure a secure work environment. Seamlessly re-prioritize tasks, provide quality feedback, and monitor models in production. We support data of all types. Get more with less. We combine machine learning and humans in the loop to filter data and select images relevant to your use case. Receive sample results based on your initial guidelines. We work with you to identify edge cases and recommend annotation best practices. -
20
Feast
Tecton
Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution. -
21
Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
22
3LC
3LC
Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility. -
23
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
24
OpenText Magellan
OpenText
Machine Learning and Predictive Analytics Platform. Augment data-driven decision making and accelerate business with advanced artificial intelligence in a pre-built machine learning and big data analytics platform. OpenText Magellan uses AI technologies to provide predictive analytics in easy to consume and flexible data visualizations that maximize the value of business intelligence. Artificial intelligence software eliminates the need for manual big data processing by presenting valuable business insights in a way that is accessible and related to the most critical objectives of the organization. By augmenting business processes through a curated mix of capabilities, including predictive modeling, data discovery tools, data mining techniques, IoT data analytics and more, organizations can use their data to improve decision making based on real business intelligence and analytics. -
25
Core ML
Apple
Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device. -
26
KitOps
KitOps
KitOps is a packaging, versioning, and sharing system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using, and can be stored in your enterprise container registry. It's AI/ML platform engineering teams' preferred solution for securely packaging and versioning assets. KitOps creates a ModelKit for your AI/ML project which includes everything you need to reproduce it locally or deploy it into production. You can even selectively unpack a ModelKit so different team members can save time and storage space by only grabbing what they need for a task. Because ModelKits are immutable, signable, and live in your existing container registry they're easy for organizations to track, control, and audit.