The objective of the project is to build a Nodejs library capable of interfacing the mainstream health and fitness trackers and to export their data in a way that is consistent across different brands and devices. This will allow to run data analysis on larger populations of users who are willing to offer access to their personal data, e.g. for medical research.
Quantified sprint metrics for AI-assisted development. Scorecards, handicap tracking, and real-time agent guidance for Claude Code, Cursor, Windsurf, Cline, and OpenCode.
[](https://www.npmjs.com/package/@quri/squiggle-components) [](https://github.com/quantified-uncertainty/squiggle/b
[](https://www.npmjs.com/package/@quri/squiggle-lang) [](https://github.com/quantified-uncertainty/squiggle/blob/main/LIC
Drop-in Playwright E2E factory toolkit: scene-agnostic reporters (quantified Markdown+JSON, multi-scene index, enhanced HTML, tabbed self-contained summary) and cross-repo utils (wait strategies, persistence, network mocks, event capture, visible text, ru
A Library to for processing GPX, TCX, FIT and JSON files from services such as Strava, Movescount, Garmin, Polar etc
`pdw` is a library for creating quantified self applications. It's intended to be platform-agnostic with regard to the underlying database and the presentation layer. It handles the core logic, and provides interfaces out to whatever databases and whateve
## About
Architectural Intelligence — system-level synthesis of patterns, conventions, decisions, and drift across a tenant's codebase
DingCode Orchestrator - Claude-style terminal orchestration for Claude Code, Codex, and Gemini CLI
Renown — earn XP and renown for real, meritorious dev work. Editor-agnostic, with 10k achievements and competitive per-project leaderboards. By AbsoluteJS.
Commonly Used REGular EXpressions
Asyncat — open-source AI-powered workspace for teams
OpenCode writing plugin: agents, commands, and writing tools
The habits application seeks to help individuals build up healthy habits.
Forecasting related utilities.
MCP server for manuscript editing and analysis — developmental editing, pacing analysis, consistency checking, character arc tracking, and prose-level line editing for fiction and nonfiction
Paket dibuat oleh Bot GG Team AI
my personal scheme: inspired by monokai, tailwind, & the color 🥑"felix"
pi extension that injects caveman terseness rules into the system prompt. Cache-safe, opt-in, plays nicely with condensed-milk and pi-vcc.
A type inference library written in TypeScript
NodeJS wrapper for the Beeminder API
Security scanner for MCP (Model Context Protocol) servers — static analysis, trust scoring, and vulnerability detection
Equational reasoning based on the unfailing Knuth-Bendix completion procedure
Specify the universe: None, Some, Excluding, and All
Pattern matching of generic types, similar to regex quantifiers
A blazing-fast regex engine with 22x faster compilation and optimized case-insensitive matching
Compiler for transforming logic expressions into tensor computation graphs
This crate provides a few representations of SMT scripts and other functionalities.
The derive macro of the quantifiable trait in the caminos-lib crate.
Declarative quantifiers for filtering, validation, and testing in Rust.
Quantifiable data processor for fonts
On hold for upcoming quantitative research project.
Median, Statistical Measures, Mathematics, Statistics
A fast, accurate and versatile tool for long-read transcript quantification.
The base library for the Gate Project.
Pretty quantifiable measurements which feel like ActiveSupport::Duration.
Uses Bundler's "outdated" function and some ranking of your gems to generate a score for how significantly you're behind on updating gems.
Quantify the health of a GitHub repository.
Quantify extension which configures units for use with the AMEE platform
Detecting and quantifying functional genes in short-read metagenomic datasets
This gem acts as an API wrapper for the quanto quantified self application.
libkalibera contains reimplementations of the statistical computations for benchmarking evaluation from the following papers by Tomas Kalibera and Richard Jones: 'Rigorous benchmarking in reasonable time'; 'Quantifying performance changes with effect size confidence intervals'.
Guess gender by a first name using more detailed, better sourced data from Open Gender Tracker's Global Name Data.<br /> Beauvoir lets you set avg and lower bounds and choose countries from which to draw data. It's important to note that many people identify as neither a men nor a women. It's important, too, to note that many people who do identify as male or female have names that<br /> are held by far more people who identify as another gender. All of these people deserve not to be misgendered in public (or in private). Nevertheless, automatically classifying people by apparent gender can be a very useful tool to perform censuses of communities or publications to detect and quantify perhaps-invisible bias. VIDA is a pioneer in this field, but their "Count" is limited by a manual methodology that depends hundreds of person-hours of labor. There is a place for more automated counts and Beauvoir can help, but if you do a count like this, you should be careful in how you word your findings not to misgender anyone in particular and be responsive to the possibility of errors.