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Build feature-rich React data tables in minutes with free, open-source SVAR React DataGrid. Follow this tutorial to build a table with:
☑️ sorting, filtering
☑️ in-cell editors
☑️ collapsible columns
☑️ checkbox selection

👉 svar.dev/blog/create-...

#react #datatable #datagrid #opensource #howto

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In Handsontable’s context menu, you can add custom menu items or remove defaults to extend table functionality and tailor the UX to your app.

Learn more: buff.ly/KEVzAbW

#Handsontable #JavaScript #DataGrid #DataTable

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What data grid features do you wish existed and why?

#ReactJS #JavaScript #TypeScript #OpenSource #WebDev #DevTools #Frontend #DataGrid #DataTable #100DaysOfCode #MadeForDevs #GitHub #FrontendDev

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Data grids are not created equally, so when it comes to choosing the right data grid, look no further than LyteNyte Grid! Your development team will thank you.

To learn more: 1771technologies.com/demo

#ReactJS #JavaScript #TypeScript #OpenSource #WebDev #Frontend #DataTable #100DaysOfCode #GitHub

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Out-scroll, out-sort, out-scale. Introducing LyteNyte Grid, the fastest React data grid available on the modern web.

It’s lightning-fast, memory-efficient, feature-rich, and respects your time.

Check out: 1771technologies.com/demo

#ReactJS #TypeScript #OpenSource #WebDev #DataTable #GitHub

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Protect your bundle size! Don’t let a bloated data grid be the reason for higher user drop-off rates and poor engagement.

LyteNyte Grid is only 80kb zipped, keeping your pages loading fast and users happy!

#ReactJS #FrontendDev #OpenSource #DataTable #TypeScript #JavaScript #DevTools

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Introducing LyteNyte Grid React developers don’t need more front-end tools; they need better ones. This is especially true for data grid libraries, basically the final boss of UI components. Most data grids on the market are so bloated that your CPU should file for workplace harassment. They are too opinionated, rigid, or just plain allergic to real-world scale. They slow your production down, force clumsy workarounds, and break the moment your data gets complex. LyteNyte Grid changes that. Whether you’re creating dashboards, admin panels, or internal tools, LyteNyte Grid lets you manage and display complex, real-time, and large-scale data without wrestling with the UI. It’s lightning-fast, memory-efficient, feature-rich, and respects your time. Gone are the days of battling with brittle APIs, janky state management, or an avalanche of unmaintainable overrides. Don’t believe us, check out our demo. If you are the sort of person that just likes to get straight into the code, check out our getting started guide. If you are the sort that loves to dive in and see the code - our Github repository is public and the code may be gleaned. If you like it, leave us a star. ## Death, Taxes, and Problems with JavaScript Data Tables Before we built LyteNyte Grid, we wasted too much time trying to overcome the limitations of other data grid libraries. Here is what we ran into over and over again: * Struggled with fast-updating or real-time datasets. * Clunky APIs that made customization extremely tedious. * Features like async data loading or exports were not built-in or were only available via plugins and fragile wrappers. * Fell apart beyond basic use cases with poor virtualization, excessive re-renders, and mysterious slowdowns. * Excessive breaking changes occur with each new version shipped. * Lack of comprehensive or advanced features, like server-side data loading. Development teams, including ours, were often forced to patch gaps by duct-taping features, duplicating logic, or forking open-source libraries to fix core problems. These quick fixes usually turned into long-term problems. Technical debt built, developer velocity slowed, and maintenance costs climbed. There had to be a better way! ## Hello World! LyteNyte Grid LyteNyte Grid is a data grid built for React applications. It’s a high-performance data table designed for developers and enterprises tired of dragging legacy grid libraries into modern codebases, like surfing the modern web over dial-up. LyteNyte Grid comes in two editions: * **Core Edition** : Free, open source (Apache 2.0), and truly useful. Includes essential features such as sorting, filtering, row grouping, column auto-sizing, detail views, data exporting, and others. * **PRO Edition** : A commercial edition (EULA) with advanced capabilities like server data loading, column and filter manager components, tree data, column pivoting, and more sophisticated data table tools. Built by 1771 Technologies, a London-based software company obsessed with developing software that turns your complex data into ‘seamless simplicity’. ## LyteNyte Grid Stands Out by Doing the Hard Stuff Right ### Designed for Ludicrous Speed LyteNyte Grid is optimized like it’s trying out for a racing team. Fast rendering? Check. Smooth scrolling? Naturally. Efficient data handling even with massive, ever-expanding datasets? Absolutely. Every line of code has been carefully refactored to eliminate bottlenecks. Our reactive state architecture means performance doesn’t degrade when paginating, filtering, or pulling from a server. ### Clean, Consistent, and Well-Thought-Out API The developer experience matters. LyteNyte Grid works with your React stack, not against it. There is no convoluted setup or over-engineering, just clean React code that plugs into your application’s existing state and logic like it belongs there. Because it does. ### Enterprise Features, Zero Bloat LyteNyte Grid is packed with features your enterprise genuinely needs, such as pivot tables, tree data, server-side data loading, custom cell rendering, and rich cell editing, all without requiring a dozen dependencies. It’s a full-spectrum data grid solution minus the cruft. ### Transparent Licensing and Real Support All PRO licenses are perpetual and include 12 months of dedicated technical support and access to updates, upgrades, and new release versions. After 12 months, your PRO license continues to work indefinitely. You can renew your license to continue receiving updates and support. You submit issues via GitHub with your license ID and get a guaranteed 24-hour response from our team. See license plans. ### Built For Developers. Trusted By Organizations LyteNyte Grid is ideal for: * **React developers** building dashboards, admin tools, or internal applications without wanting to reinvent the grid (again). * **Engineering leads** who care about maintainable, scalable components that don’t crumble under complexity. * **Organizations** that need stable APIs, real support, and a licensing model that doesn’t feel like a surprise party. Whether you’re an individual developer using the free **LyteNyte Grid Core** edition or part of an enterprise team rolling out **LyteNyte Grid PRO** across several applications, LyteNyte Grid scales with you. ## Get Started Now * Try the interactive demo. See LyteNyte Grid PRO in action. * Compare license plans. Choose the right fit for your team. Or start building with the free **LyteNyte Grid Core** edition. It’s open source, memory efficient, and ready to drop into your next React project.
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Hello World! Meet LyteNyte Grid, a lightning-fast, declarative React data grid built for real-world scale. Finally, a grid that respects your time and your stack.

👉https://1771technologies.com/demo

#ReactJS #FrontendDev #DeveloperTools #DataGrids #OpenSource #DataTable #TypeScript #JavaScript

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I recently used the Data.Table::fread function to import Nfirs annual data files into R. These files contain over 50 million rows of the nation's fire calls with 40+ columns of variables. ::fread was faster than other standard R functions, and Excel won't handle this size. #firedata #R #datatable

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View my verified achievement from @IBM.
Badge link: www.credly.com/badges/9e25d... via @credly #Regex #BusinessAutomation #DataTable #WebClient #SpringBoot #NLP

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IBM Robotic Process Automation - Advanced was issued by IBM to Jose Antonio Lopez Tellez. This badge earner can implement databases on the WDG Automation platform, connect with various database management systems, and manipulate data and procedures. They can use regular expressions (Regex)...

View my verified achievement from @IBM. www.credly.com/badges/9e25d... via @credly #Regex #BusinessAutomation #DataTable #WebClient #SpringBoot #NLP

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IBM Robotic Process Automation - Intermediate was issued by IBM to Jose Antonio Lopez Tellez. This badge earner can use complex features of WDG Automation Studio for the development of robust and complete bots, such as automation of web pages, automation of windows systems, and manipulation of...

View my verified achievement from @IBM. credly.com/badges/74534... via @credly #BusinessAutomation #DataTable #WebClient #SpringBoot

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IBM Robotic Process Automation - Basic was issued by IBM to Jose Antonio Lopez Tellez. Badge earners are able to install WDG Automation with all of its programs and features, and address problems that may occur in the process. They can perform basic tasks in WDG Studio such as inserting...

View my verified achievement from @IBM. www.credly.com/badges/f8d1f... via @credly #RBA #BusinessAutomation #DataTable #WebClient #SpringBoot

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A screenshot of Star Trek: The Next Generation showing Data seated at a lightly glowing table. Next to him is his android daughter, Lal.

A screenshot of Star Trek: The Next Generation showing Data seated at a lightly glowing table. Next to him is his android daughter, Lal.

#DataTable

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Finally. Weapon equips from inventory and works. Also unequips & state machine switches poses. (small dance around the room)

#unrealengine #gamedev #gaming #statemachine #inventory #arrays #UE5 #game #developer #programing #chaos #metahuman #openworld #datatable #structs #enum #widget #UI

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Green text on pink background:
Data Table Accessibility in 2024

Green text on pink background: Data Table Accessibility in 2024

🏓 Data Table Accessibility in 2024
by Zell Liew @zellwk
#accessibility #DataTable #webdev

zellwk.com/blog/data-ta...

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I find solution for use datatable with other library countdown. #jquery #countdown #datatable

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Nice moment with @earino, and @daroczig few years back when Eduardo first came to @ceu. Also 2018 was when we had the #rstats #datatable vs #tidyverse debate. (Tidyverse won.)

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As I am set to design a course/textbook website, I realized there are wars raging beyond @Stata vs #RStats vs #Python (or regional conflicts like #tidyverse vs #datatable) Yes, it's #hugo vs #jekyll. I had no idea. #AcademicTwitter...

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