awesome-semantic-web
datasette-lite
awesome-semantic-web | datasette-lite | |
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5 | 10 | |
1,319 | 309 | |
1.2% | - | |
6.1 | 5.4 | |
12 days ago | about 1 month ago | |
HTML | ||
Creative Commons Zero v1.0 Universal | 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.
awesome-semantic-web
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GitHub – GSA/code-gov: An informative repo for all Code.gov repos
https://github.com/semantalytics/awesome-semantic-web#csvw
A GitHub Action would run regularly, fetch each code.json, save each to a git repo, and then upsert each into a SQLite database to be published with e.g. datasette or datasette-lite.
- Super-Structured Data: Rethinking the Schema
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Python Tools for the Semantic Web, an Overview
Have you taken a look at: https://github.com/semantalytics/awesome-semantic-web#python, it would be great to further this list along given it's breadth and age.
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Looking for software
You might find some of what you need here https://github.com/semantalytics/awesome-semantic-web
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A Review of the Semantic Web Field
https://github.com/semantalytics/awesome-semantic-web#progra...
Why are you spreading FUD?
datasette-lite
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Sqlime: Online SQLite Playground
Also see: https://github.com/simonw/datasette-lite
- Use SQL Without Databases
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GitHub – GSA/code-gov: An informative repo for all Code.gov repos
https://github.com/simonw/datasette-lite :
> You can use this tool to open any SQLite database file that is hosted online and served with a `access-control-allow-origin: ` CORS header. Files served by GitHub Pages automatically include this header, as do database files that have been published online using `datasette publish`.*
> [...] You can paste in the "raw" URL to a file, but Datasette Lite also has a shortcut: if you paste in the URL to a page on GitHub or a Gist it will automatically convert it to the "raw" URL for you
> To load a Parquet file, pass a URL to `?parquet=`
> [...] https://lite.datasette.io/?parquet=https://github.com/Terada...*
There are various *-to-sqlite utilities that load data into a SQLite database for use with e.g. datasette. E.g. Pandas with `dtype_backend='arrow'` saves to Parquet.
datasette plugins are written in Python and/or JS w/ pluggy:
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[SQLlite] Is there any online SQL editor I can host on my website? Maybe something in JS or php
Datasette Lite might be even better for this - you can construct URLs that link directly to examples: https://github.com/simonw/datasette-lite
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SQLite WASM Official
There are some amazing things for SQLite in the browser especially if you're looking for ways to host queryable data for cheap.
I have a hacked up POC experimental version of datasette-lite to be able to look at multi-GB databases at https://github.com/simonw/datasette-lite/pull/49. It uses a hacked up chunk'd lazyFile implementation from emscripten and others to grap pages from Cloudflare R2.
It's a test with california's unclaimed property records (https://www.sco.ca.gov/upd_download_property_records.html) of a 28GB searching up that guy who owns Twitter: https://datasette-lite-lab.mindflakes.com/index.html?url=htt...
I think there may be a space for super-large multi-GB files served from static storage being accessible from SQlite as well. Another one would be this full-text search of a 43GB SQLite database of Wikipedia's full text search: http://static.wiki/ . Hearing there's official support for this is awesome and I hope they also might add some provisions for those sticking with POSIX/Emscripten as well.
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Hosting SQLite Databases on GitHub Pages
I grafted the enhanced lazyFile implementation of this to datasette-lite relatively recently. Threw in a 18GB CSV from
https://www.sco.ca.gov/upd_download_property_records.html
into a FTS5 Sqlite Database which came out to about 28GB after processing:
POC, non-merging Draft PR for the hack:
https://github.com/simonw/datasette-lite/pull/49
You can run queries through it if you URL hack into it and just get to the query dialog, browsing is kind of a dud at the moment since datasette runs a count(*) which downloads everything.
- Learn Postgres at the Playground
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A SQLite extension for reading large files line-by-line
Oh wow! I wonder how hard it would be to load that module into https://github.com/simonw/datasette-lite
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This Week in Python
datasette-lite – Datasette running in your browser using WebAssembly and Pyodide
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Datasette Lite: a server-side Python web application running in a browser
I have an open issue for that here: https://github.com/simonw/datasette-lite/issues/28
My initial hunch is that this will be really difficult - probably require a fork of something like https://github.com/coleifer/pysqlite3 then compiled for WebAssembly.
I'm confident it's feasible, but I don't have the skills to figure it out myself.
What are some alternatives?
clojure-graph-resources - A curated list of Clojure resources for dealing with graph-like data.
pyscript - Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
zed - A novel data lake based on super-structured data
sqlite-plus - The ultimate set of SQLite extensions
EasierRDF - Making RDF easy enough for most developers
file-system-access - Expose the file system on the user’s device, so Web apps can interoperate with the user’s native applications.
lv2 - The LV2 audio plugin specification
datastation - App to easily query, script, and visualize data from every database, file, and API.
trifid - Lightweight Linked Data Server and Proxy
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
awesome-knowledge-management - A curated list of amazingly awesome articles, people, applications, software libraries and projects related to the knowledge management space
mergestat-lite - Query git repositories with SQL. Generate reports, perform status checks, analyze codebases. 🔍 📊