Software Alternatives, Accelerators & Startups

MUI X Data Grid VS NLP-API

Compare MUI X Data Grid VS NLP-API and see what are their differences

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MUI X Data Grid logo MUI X Data Grid

A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.

NLP-API logo NLP-API

Natural Language Processing tools REST API
Not present

A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.

The MUI X Data Grid is a TypeScript-based React component that presents information in a structured format of rows and columns. It provides developers with an intuitive API for implementing complex use cases; and end users with a smooth experience for manipulating an unlimited set of data.

The Grid's theming features are designed to be frictionless when integrating with Material UI and other MUI X components, but it can also stand on its own and be customized to meet the needs of any design system.

The Data Grid is open-core: The Community version is MIT-licensed and free forever, while more advanced features require a Pro or Premium commercial license. See MUI X Licensing for complete details.

  • NLP-API Landing page
    Landing page //
    2023-03-15

MUI X Data Grid features and specs

  • Rich Component Library
    MUI X offers a wide range of advanced components such as data grids, date pickers, and charts, which enhance the user interface and experience of complex applications.
  • Customizability
    The components in MUI X are highly customizable, allowing developers to style and configure them according to their specific application needs.
  • Performance
    MUI X components are designed with performance in mind, ensuring that even complex components like data grids run smoothly, which is crucial for large datasets.
  • Integration with Material UI
    MUI X seamlessly integrates with Material UI, providing a consistent design system and allowing developers to use both basic and advanced components together.
  • Community and documentation
    MUI X benefits from robust community support and comprehensive documentation, making it easier for developers to find solutions and best practices.

NLP-API features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to MUI X Data Grid and NLP-API)
Data Grid
100 100%
0% 0
AI
0 0%
100% 100
Design Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MUI X Data Grid and NLP-API

MUI X Data Grid Reviews

  1. oliviertassinari

Using AG Grid in React: Guide and alternatives
In this guide, we introduced the basic functionalities of the ag-grid-react library and demonstrated how to use AG Grid to build and style a data grid in a React app. To compare alternatives to AG Grid, also built a similar data grid in TanStack Table, Glide Data Grid, and MUI Data Grid. Each library has a unique set of features and tradeoffs, so it’s important to choose the...
The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
AG Grid is also in a similar situation as MUI X DataGrid, where some of the features are only available in the paid Enterprise version. However, the free version is still very feature-rich and will take you very far in most projects. AG Grid is one of the few high-quality OSS projects out there where it is probably worth every penny to pay for the Enterprise version if you...

NLP-API Reviews

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What are some alternatives?

When comparing MUI X Data Grid and NLP-API, you can also consider the following products

AG Grid - The best HTML5 datagrid in the world

Texti.app - AI that lives in your browser!

TanStack Table - Headless UI for building powerful tables & datagrids with TS/JS, React, Solid, Svelte and Vue

Loqui-Ai - Loqui-Ai is an AI language learning companion designed to help people interact with their Target language.

material-table - React data table component that is based on material-ui

Kern AI refinery - Algorithms aren’t the bottlenecks. It’s data. Develop data to get better quality in shorter time with refinery. Build your AI training data in hours, not months.