perspective
go-py-arrow-bridge
Our great sponsors
| perspective | go-py-arrow-bridge | |
|---|---|---|
| 45 | 1 | |
| 7,535 | 18 | |
| 4.4% | - | |
| 9.3 | 0.0 | |
| 7 days ago | almost 5 years ago | |
| C++ | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
perspective
- Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
-
The Design Philosophy of Great Tables (Software Package)
Why do you want to render to canvas?
Perspective seems to be the most performant html table. It is more focused on extremely fast updates than styling, although it looks good.
Glide is a newcomer that also renders to canvas.
https://github.com/finos/perspective
https://github.com/glideapps/glide-data-grid
-
Show HN: WhatTheDuck – open-source, in-browser SQL on CSV files
SQL workbench also uses https://perspective.finos.org/ for tables. It's a WASM table library which pairs nicely with duckdb and works well with large tables.
-
React Spreadsheet 2 – Your Own Google Sheets
Yes. We are working on adding support for aggregation and pivoting using https://github.com/finos/perspective
-
Show HN: DataSheetGrid, an Airtable-like React component
I haven't looked extensively at react-datasheet. It looks like it is trying to build more of a full product than the other data tables.
I have used ag-grid extensively, its an impressive product. Some pieces are a little awkward to use, particularly auto-sizing. But generally ag-grid has thought of most functionality and has a solution. The creator of ag-grid had a great interview on Javascript Jabber [1].
The other serious data table component that I have seen is FinOS Perspective [2]. This is extremely high performance, also more specialized and probably harder to customize. I think Perspective renders to a canvas element from Rust/C++ compiled to WASM (not 100% sure). It is also made for streaming updates.
AG-Grid supports streaming updates... but only in the commercial version.
Eventually the data model for these types of tables becomes tricky. I will be investigating parquet-wasm for my use case. Hit me up if you want to collaborate.
[1] https://blog.ag-grid.com/javascript-jabber-podcast/
[2] https://perspective.finos.org/
- Perspective Market Simulation
-
ChDB: Embedded OLAP SQL Engine Powered by ClickHouse
Something like https://github.com/finos/perspective ? We use an OLAP(-y) WASM engine to provide query-ability to our data visualization tool, and doing the calculations in the browser is cheaper and simpler than a server-side database for datasets that fit in browser memory.
- Show HN: Udsv.js – A faster CSV parser in 5KB (min)
- Perspective 2.0, Open Source WebAssembly-Powered BI
go-py-arrow-bridge
-
Apache Arrow 3.0.0 Release
Not only in between processes, but also in between languages in a single process. In this POC I spun up a Python interpreter in Go and can pass the Arrow data buffer between processes in constant time. https://github.com/nickpoorman/go-py-arrow-bridge
What are some alternatives?
ag-Grid - The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
arquero - Query processing and transformation of array-backed data tables.
arrow-julia - Official Julia implementation of Apache Arrow
datapane - Build and share data reports in 100% Python
vega-loader-arrow - Data loader for the Apache Arrow format.
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
cylon - Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
SandDance - Visually explore, understand, and present your data.