Tablefront
AG Grid
TanStack Table
Webix Grid
Material React Table
Frappe DataTable
RevoGrid
DataTables
CouchBase
MongoDB
Redis
ArangoDB
CouchDB
Apache Cassandra
OrientDB
Azure Cosmos DB
Features: Zero Configuration - Works out of the box Multiple Display Modes - Table, Grid, and Masonry layouts Advanced Interactions - Column drag-and-drop, resizing, expandable rows Smart Auto-Generation - Columns, filters, and searches auto-generated Responsive Design - Mobile-first approach Performance Optimized - Virtual scrolling, debounced search Type Safe - Full TypeScript support State Persistence - User preferences saved automatically Composable UI - Override UI components, icons, and styles Predictable Filters - Structured search and field-level filters
Tablefront
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Tablefront's answer
It's a zero-config setup, you feed it your data and it sets all the defaults for you so you get a beautiful looking table that fits your data automatically, with all the features activated. So you start off with something that already works and looks great, then you can configure, override and customize as you wish with full power.
Tablefront's answer
Simplicity, speed and advanced interactions are there from moment zero. No hassle, no learning curve. Just plug-and-play to get you to a production-grade working version. Then you still have full power to customize any part of it if you wish.
Tablefront's answer
Web developers with a focus on data and visualizing it in a beautiful way. UX obsessed designers.
Tablefront's answer
We built it for our selves in order to develop our data-heavy B2B products, it's currently used in production in multiple systems and we were so happy with it we had to put it out there.
Based on our record, CouchBase seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I used a mix of tools to build this project, each handling a different part of the process. Google ADK helps run the AI agents, Couchbase stores past Kubecon talks data and performs the vector search, and Nebius Embedding model for generating embeddings and LLM models (Example: Qwen) generates summaries and talk abstracts. - Source: dev.to / about 1 year ago
It is therefor with great satisfaction we hereby announce that we might sponsor your Open Source project with your own custom AI chatbot built on top of ChatGPT and our AI chatbot technology. To show you an example of how this might look like, consider the following chatbot we've created for CouchBase. - Source: dev.to / about 3 years ago
I think the URL is linked from https://couchbase.com/ or cloud.couchbase.com. Source: almost 5 years ago
AG Grid - The best HTML5 datagrid in the world
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
TanStack Table - Headless UI for building powerful tables & datagrids with TS/JS, React, Solid, Svelte and Vue
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Webix Grid - The most functional JS DataGrid with advanced features like rowspan and colspan, filters, sorting, sparklines, clipboard and Drag-n-drop support and much more.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.