configs
perspective
configs | perspective | |
---|---|---|
6 | 45 | |
75 | 7,555 | |
- | 1.4% | |
4.7 | 9.3 | |
about 1 year ago | 5 days ago | |
JavaScript | C++ | |
MIT License | 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.
configs
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Improve your Python code with pre-commit
I was a long time pre-commit fan, just converted to https://trunk.io/ though
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Ask HN: Who is hiring? (February 2023)
Trunk | https://trunk.io | Sr Full Stack / Sr C++ | Full-Time | Remote / Hybrid, SF
Trunk is an a16z funded dev tools startup, redefining software development at scale. We've built three products so far and have plans for more:
* Trunk Check: a universal linter/formatter, available as a CLI, VSCode extension, and CI check;
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Extension to lint and format *every* language
Trunk is also a command line tool, so you can run all these checks on CI, with the same versions of tools you use locally
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Grep one-liners as CI tasks
Tests are a good way to assert an invariant that you expect of your codebase, but as with all things, resolving the error can get a bit tricky/frustrating.
The canonical example in my mind is any kind of autofix-able linter, where there's some kind of patch (or more nuanced autofix) that the linter can generate on-the-spot for you. With a sh_test construct (or any other unit test), you generally find yourself printing out some command that the user can run to fix things, which in a sufficiently large codebase can get really frustrating.
(My company - https://trunk.io - is actually building a universal linter as part of our product offering, and we already have a system to write custom linters with varying levels of sophistication that can plug into both your IDE and CI system.)
- Ultra-clean sane configs for linters, formatters, and more
perspective
- Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
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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
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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.
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React Spreadsheet 2 – Your Own Google Sheets
Yes. We are working on adding support for aggregation and pivoting using https://github.com/finos/perspective
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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
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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
What are some alternatives?
Anki-Android - AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.
ag-Grid - The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
semgrep - Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
arquero - Query processing and transformation of array-backed data tables.
trunk-action - Trunk.io GitHub Action
datapane - Build and share data reports in 100% Python
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
LunarVim - 🌙 LunarVim is an IDE layer for Neovim. Completely free and community driven.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
relay - Sentry event forwarding and ingestion service.
SandDance - Visually explore, understand, and present your data.