Stars
Command-line client for WebSockets, like netcat (or curl) for ws:// with advanced socat-like functions
Spectral.js is a paint like color mixing library utilizing the Kubelka-Munk theory.
Go library for parsing GTFS static and realtime feeds
The Community Edition of the Jargon File, a classic historical reference for hackish tradition, culture, and folklore. Submissions welcome.
A new shadcn interface for polislike-opinion-landscape-painter
A real-time collaborative reaction canvas for gathering continuous polislike data.
CLI tool to extract (meta)data from PDF and manipulate PDF files
An assortment of more specialized math routines for Go
A fully typed client for the Bluesky Jetstream (https://github.com/bluesky-social/jetstream) service.
A modern, interactive 3D city dashboard for Toronto built with React, TypeScript, and Mapbox GL JS. Toronto Pulse visualizes real-time urban data including public transit, road conditions, bike sha…
Convert email newsletters into Atom feeds
Trusted Timestamping Framework for Scientific Research
A Rust based utilty toolbox for developers. Inspired from https://it-tools.tech
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
A data collection of communities in Toronto. Join the Project Slack: https://civictechto.slack.com/archives/C09KLBBL3EH
🔬 A fast, interactive web-based viewer for performance profiles.
Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file
Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.
Mind Monitor OSC Streaming Python Samples
A daily-refreshed JSON-LD proxy for Toronto’s official Festivals & Events open data feed.
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Store your data from all your accounts and devices in a single cohesive timeline on your own computer