sql.js-httpvfs
pyodide
sql.js-httpvfs | pyodide | |
---|---|---|
15 | 67 | |
3,233 | 11,418 | |
- | 1.8% | |
1.5 | 9.7 | |
about 1 year ago | 5 days ago | |
TypeScript | Python | |
Apache License 2.0 | Mozilla Public License 2.0 |
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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.
sql.js-httpvfs
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A future for SQL on the web (2021)
I couldn't find do these wrappers support read-only SQLite databases with HTTP range requests, like in this famous post [1]. Phiresky's wrapper supports it, but it seems to be rebuilding the whole sql.js [2], I'd rather have it as VFS on top of sqlite.org's own WASM module. I like the idea of HTTP range requests, but I don't want to run a fork, that will be unmaintained in few years.
[1]: https://news.ycombinator.com/item?id=27016630
[2]: https://github.com/phiresky/sql.js-httpvfs
- Cloud Backed SQLite
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Transmission 4.0.0 beta 1 is out
Oh that’s an interesting idea. I saw someone built SQLite over HTTP with the Range header: https://phiresky.github.io/blog/2021/hosting-sqlite-database...
So presumably in a similar manner as https://github.com/phiresky/sql.js-httpvfs you could map SQLite pages to leaf torrents too and get the chunking you are looking for.
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netgrep - An experimental porting of ripgrep on WASM over the HTTP protocol.
But ripgrep has to read the whole file; if your intended use case is searching a blog, I'd recommend using something which makes an index, so you don't need to download everything. For example, sql.js-httpvfs is SQLite ported to wasm, with the DB file read over HTTP. If you use FTS to make an index, it works astonishingly well for text search.
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Datasette Lite: a server-side Python web application running in a browser
How close is Python SQLite and Datasette Lite to accessing a hosted SQL database using HTTP range requests as can be done in sql.js like https://github.com/phiresky/sql.js-httpvfs?
I put together a Pyodide-based web app where users need a few indexed queries from a 600mb SQLite database but it isn't very practical for them to download the whole thing into the browser.
https://observablehq.com/@thadk/life
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Ws4sqlite: Query SQLite via HTTP
You can also access sqlite databases directly from an http server that supports range requests (like s3). There are a bunch of implementations of this in different languages including Go[0] and Javascript[1].
[0]: https://github.com/psanford/sqlite3vfshttp
[1]: https://github.com/phiresky/sql.js-httpvfs
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Static torrent website with peer-to-peer queries over BitTorrent on 2M records
Thanks to SQLite VFS abstraction, it is possible to implement your own file system on which SQLite parks data and structures. Inspired by Phiresky's sql.js-httpvfs which uses HTTP Range requests to lazy load blocks of storage from a static web server, I changed few lines of code to point the VFS read() calls to a database seeded by peers as a torrent. A 300 MiB db with 2 million records can be queried from seeders for full text searches in less than 2 MiB traffic with the BitTorrent protocol, all inside the browser, in a static website.
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WebVM: Server-less x86 virtual machines in the browser
Hosting SQLite Databases on GitHub Pages" https://news.ycombinator.com/item?id=28021766 : DuckDB can query [and page] Parquet from GitHub, sql.js-httpvfs, sqltorrent, File System Access API (Chrome only so far; IDK about resource quotas and multi-GB datasets), serverless search with WASM workers
https://github.com/phiresky/sql.js-httpvfs :
> sql.js is a light wrapper around SQLite compiled with EMScripten for use in the browser (client-side).
> This repo is a fork of and wrapper around sql.js to provide a read-only HTTP-Range-request based virtual file system for SQLite. It allows hosting an SQLite database on a static file hoster and querying that database from the browser without fully downloading it.
> The virtual file system is an emscripten filesystem with some "smart" logic to accelerate fetching with virtual read heads that speed up when sequential data is fetched. It could also be useful to other applications, the code is in lazyFile.ts. It might also be useful to implement this lazy fetching as an SQLite VFS [*] since then SQLite could be compiled with e.g. WASI SDK without relying on all the emscripten OS emulation.
- Show HN: Link-Archive.org
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Database-Less Torrent Website
It doesn't have to be range requests, you could split the file instead of depending on the range requests. Essentially it's the same as the chunking instructions for hosters who have a maximum file size as is demonstrated here: https://github.com/phiresky/sql.js-httpvfs/blob/master/creat...
pyodide
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Py2wasm – A Python to WASM Compiler
We implemented an in-browser Python editor/interpreter built on Pyodide over at Comet (our users are data scientists who need to build custom visualizations quite often, and the most familiar language for most of them is Python).
One of the issues you'll run into is that Pyodide only works by default with packages that have pure Python wheels available. The team has developed support for some libraries with C dependencies (like scikit-learn, I believe), but frameworks like PyTorch are particularly thorny (see this issue: https://github.com/pyodide/pyodide/issues/1625 )
We ended up rolling out a new version of our Python visualizations that runs off-browser, in order to support enough libraries/get the performance we need: https://www.comet.com/docs/v2/guides/comet-ui/experiment-man...
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
Thank you! Yes, one of the items in the Roadmap is support for Pyodide (https://github.com/pyodide/pyodide) for running in-browser python on the results of each of the code blocks! This should allow most ML libs to be usable in-browser! This is pretty high-up on our priority list.
- Show HN: Marimo – open-source reactive Python notebook – running in WASM
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Why Are Tech Reporters Sleeping on the Biggest App Store Story?
If I understand correctly, WASM only makes sense for compiled languages, you can run the python interpreter in WASM of course[1], but that will be at a significant performance disadvantage to the native javascript interpreter, and it's also something that has to be loaded every time you load the website.
[1]: https://github.com/pyodide/pyodide
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Rewrite Sympy in rust
If you absolutely need something comparable to Sympy, then one option might be to figure out how to best call Sympy from Rust. e.g. - RustPython, although it seems like Sympy isn't supported yet - Pyodide, and figuring out how to run it outside of a web browser. Probably also not very easy. - PyPy, and having a pretty simple Python binary for every platform - ...
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IT department refuses to let me install Python and other programs/languages I need for my job.
For running programming languages other than JavaScript in the browser there is Emscripten and WebAssembly. There is v86, where a Linux build is compiled to WASM. Folks have written QuickJS into a Linux build compiled to WASM, Node.js into the Linux buildroot https://github.com/cemalgnlts/now, so Python or CPython can be written to the image and loaded into the browser as WASM as well https://github.com/pyodide/pyodide.
- Python CLI Live Demo?
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Graphs in Python web app
There's a Python runtime that runs on WebAssembly (https://github.com/pyodide/pyodide). I have no idea what it's like, I've never used it.
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Sunday Daily Thread: What's everyone working on this week?
Still in a quest to provide some tooling to quickly compose documentation websites: https://github.com/synw/docdundee . As I have tons of libs to document and was tired of managing restructured language for readthedocs I started with this, and now it has executable Python examples in the frontend via a Pyodide wrapper composable: usePython
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Introducing scikit-learn-ts: A powerful machine learning library for TS, auto-generated and powered by Python's #1 ML library
This project's brand new and a lil hacky, but I've already reached out to the scikit-learn team, and they recommended that I experiment with using Pyodide as an alternative backend for the Python bridge.
What are some alternatives?
alasql - AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel.
brython - Brython (Browser Python) is an implementation of Python 3 running in the browser
datasette - An open source multi-tool for exploring and publishing data
pyscript - Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
sqlite3vfshttp - Go sqlite3 http vfs: query sqlite databases over http with range headers
RustPython - A Python Interpreter written in Rust
duckdb - DuckDB is an in-process SQL OLAP Database Management System
streamlit - Streamlit — A faster way to build and share data apps.
wp-sqlite-db - A single file drop-in for using a SQLite database with WordPress. Based on the original SQLite Integration plugin.
Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -
sqltorrent
PyWebIO - Write interactive web app in script way.