TanStack Table VS jello

• Performance
  TanStack Table is designed for high performance, capable of handling large datasets efficiently through features like virtualized scrolling, which only renders visible rows.
• Customization
  Provides extensive customization options for UI and behavior, allowing developers to tailor the table to specific needs with hooks and plugins.
• Lightweight
  The core library is minimal and can be extended with plugins, making it lightweight by default and allowing developers to include only the features they need.
• Headless Design
  Being headless, TanStack Table focuses solely on offering functionality, leaving the implementation of styles and appearance completely to the developer, which provides flexibility.
• Community and Documentation
  The library has an active community and comprehensive documentation, which helps developers quickly understand and implement features.

Possible disadvantages

• Complexity
  With its headless nature and high level of customization, there can be a steep learning curve for developers unfamiliar with its approach or those new to React.
• Lack of Built-in Styles
  Since it does not include built-in styles or components, additional work is required to implement design aspects, which may be a drawback for projects that need a quick setup.
• React Dependency
  It is specifically designed for React, which makes it unsuitable for projects built with other frameworks.
• Fragmentation
  Due to its plugin-based architecture, essential features can sometimes depend on third-party solutions, leading to possible fragmentation or inconsistency in updates and support.

• JSON Parsing
  Jello allows efficient JSON data parsing and transformation using Python syntax, making it easier for users with Python knowledge to manipulate JSON data.
• Command-Line Integration
  It integrates well into CLI environments, allowing users to process JSON data within terminal sessions, which can be particularly useful for quick data transformations and scripting tasks.
• Flexible Querying
  Jello enables flexible and complex querying capabilities, which can handle a variety of JSON data manipulation needs, from filtering to restructuring.
• Lightweight Tool
  It is a lightweight utility that doesn't require extensive setup or dependencies, making it easy to install and use without considerable overhead.

Possible disadvantages

• Learning Curve
  Users unfamiliar with Python or command-line interfaces might experience a steep learning curve when starting with Jello, requiring a period of adjustment and learning.
• Limited to JSON
  Jello is specifically designed for JSON data, limiting its applicability to other data formats unless converted to JSON first.
• Performance Constraints
  For extremely large JSON data sets, performance might be a constraint when using Jello, as it may not handle large files as efficiently as some specialized tools designed for big data.
• Dependency on Python
  Since Jello requires Python, environments without Python installed might find it challenging to use the tool without setting up the necessary environment first.

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More videos

• Using AG Grid in React: Guide and alternatives
  blog.logrocket.com · Feb 2023

  Implementing pagination can be a little trickier. But one of the benefits of TanStack Table is that we have complete control over the functionality. Let’s implement server-side pagination with TanStack Table and see...

• The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
  www.material-react-table.com · Jan 2023

  The main advantage of this project is that it is also built on top of TanStack Table v8 (formerly known as React Table) and TanStack Virtual v3 (formerly known as React Virtual), which are powerful headless UI...

• Best Free and Open-Source JavaScript Data Grid Libraries and Widgets
  code.tutsplus.com · Nov 2022

  The TanStack Table library is a modern and up-to-date library for creating powerful tables and data grids. This is actually a headless library, so it won't ship with components, markup, or styles.

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• Building a Google Sheets–Like Table Component with TanStack Table, Zod, and ShadCN/UI

  TanStack Table for the core table logic. - Source: dev.to / almost 2 years ago

• What are headless UI libraries?

  UI libraries aside, the whole headless rave has spread to packages and libraries for standalone components, headless text editors like Tiptap and Platejs, headless table components like Tanstack table, and more out there to explore. - Source: dev.to / over 2 years ago

• Task tracker application using NextJS and SurrealDB

  To create the task table I have used [@tanstack/react-table](https://tanstack.com/table/v8) as it has many features like searching, pagination, sorting, and filtering. As it is a Headless table library it handles most of the complex... - Source: dev.to / almost 3 years ago

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• jq 1.7 Released

  Jello let’s you use python syntax with dot notation without the stdin/stdout/json.loads boilerplate. https://github.com/kellyjonbrazil/jello. - Source: Hacker News / about 3 years ago

• jq 1.7 Released

  A couple more alternatives: https://github.com/kellyjonbrazil/jello. - Source: Hacker News / about 3 years ago

• Simple Apache Log Parser

  Yep, you can create a filter in jq to do that. Alternatively, if you prefer Python syntax you could try jello, which works like jq but is really Python under the hood. (I am also the author of jello). Source: over 3 years ago

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