MATLAB Features

Based on 96 MATLAB reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 94 MATLAB reviews.

Provides users with pre-built algorithms for simpler model development This feature was mentioned in 104 MATLAB reviews.

Supplies large data sets for training individual models 98 reviewers of MATLAB have provided feedback on this feature.

Transforms raw data into features that better represent the underlying problem to the predictive models This feature was mentioned in 79 MATLAB reviews.

Offers image recognition services 89 reviewers of MATLAB have provided feedback on this feature.

Based on 78 MATLAB reviews. Offers natural language processing services

Based on 76 MATLAB reviews. Offers natural language generation services

Based on 91 MATLAB reviews. Offers artificial neural networks for users

As reported in 69 MATLAB reviews. Offers natural language understanding services

Provides deep learning capabilities This feature was mentioned in 77 MATLAB reviews.

Manages the intelligent application for the user, reducing the need of infrastructure 82 reviewers of MATLAB have provided feedback on this feature.

Based on 92 MATLAB reviews. Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 93 MATLAB reviews.

Based on 73 MATLAB reviews and verified by the G2 Product R&D team. Facilitates analysis of high-volume, real-time data.

Based on 45 MATLAB reviews and verified by the G2 Product R&D team. Allows user to query data through query languages like SQL.

Based on 47 MATLAB reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 50 MATLAB reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Spark

Based on 60 MATLAB reviews and verified by the G2 Product R&D team. Integrates data from multiple external databases.

Based on 52 MATLAB reviews and verified by the G2 Product R&D team. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Based on 73 MATLAB reviews and verified by the G2 Product R&D team. Processes data and represents interpretations in a variety of graphic formats.

Based on 68 MATLAB reviews and verified by the G2 Product R&D team. Strings together specific functions and datasets to automate analytics iterations.

Based on 60 MATLAB reviews and verified by the G2 Product R&D team. Allows big data tool to run and record data within external applications.

Based on 37 MATLAB reviews and verified by the G2 Product R&D team. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Ability to modify 3D primitives (parametric editing tools, free-form editing tools, symmetrical editing process, etc.) 147 reviewers of MATLAB have provided feedback on this feature.

Based on 164 MATLAB reviews. Ability to access basic drawing tools (line, circle, polygons, etc.)

As reported in 166 MATLAB reviews. Ability to access basic editing tools (erase, trim, extend, undo, etc.)

As reported in 141 MATLAB reviews. Ability to access rendering tools (lighting tools, texture mapping, custom material creation, etc.)

As reported in 127 MATLAB reviews. Ability to conduct computational fluid dynamics and thermal analysis

As reported in 150 MATLAB reviews. Ability to conduct finite element analysis test

Ability to conduct kinematics and dynamic analysis of mechanisms This feature was mentioned in 132 MATLAB reviews.

As reported in 159 MATLAB reviews. Ability to model discrete event simulation such as analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss.

Ability to model continous event simulation This feature was mentioned in 161 MATLAB reviews.

As reported in 145 MATLAB reviews. Ability to conduct mechanical event simulation

Ability to model a manufacturing processes like casting, molding and die press forming 135 reviewers of MATLAB have provided feedback on this feature.

Based on 141 MATLAB reviews. Ability to integrate with CAD and PLM software

Ability to support a sufficient number of hardware developers (by default or through the use of custom drivers). This feature was mentioned in 163 MATLAB reviews.

Support for custom interfaces designed around specific design tasks, by default (out of the box) or through user customization. 162 reviewers of MATLAB have provided feedback on this feature.

Support for multiple user interface customizations. Can store and recall interfaces as required by a specific user without closing the application and without the need for scripting knowledge. 138 reviewers of MATLAB have provided feedback on this feature.

Names of basic commands are clear and easy to understand. On-cursor documentation, such as tool tips and pop-up descriptions, provide clarification of icons and other user interface elements. 177 reviewers of MATLAB have provided feedback on this feature.

Gives user ability to import a variety of data sources for immediate use This feature was mentioned in 75 MATLAB reviews.

As reported in 14 MATLAB reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. 14 reviewers of MATLAB have provided feedback on this feature.

Provides the ability to generate images from a text prompt. This feature was mentioned in 14 MATLAB reviews.

Capability to perform complex tasks without constant human input This feature was mentioned in 10 MATLAB reviews.

As reported in 10 MATLAB reviews. Ability to break down and plan multi-step processes

Based on 10 MATLAB reviews. Works across multiple software systems or databases

Based on 10 MATLAB reviews. Improves performance based on feedback and experience

As reported in 10 MATLAB reviews. Engages in human-like conversation for task delegation

As reported in 10 MATLAB reviews. Anticipates needs and offers suggestions without prompting

As reported in 10 MATLAB reviews. Makes informed choices based on available data and objectives