Yet another Node.js metrics module.
Visualize and quantify differences between two PDF files.
Quantify awfulness in legal writing
Helper for creating telemetry events from Quantify metrics.
Quantify awfulness in legal writing
Quantify technical debt you can actually control. Built by developers, for developers.
Drop-in replacement of [vue-pivottable](https://github.com/Seungwoo321/vue-pivottable) with Vue3 support.
Vue3 compatible fork of [@vue-pivottable/plotly-renderer](https://github.com/Seungwoo321/vue-pivottable/tree/master/packages/plotly-renderer)
Core engine for staleflags — find dead feature flags and quantify the dead code they create
Quantify for Jira REST API client
Find dead feature flags and quantify the dead code they create
CIE color difference algorithms in JavaScript.
## Installation
Categorized data on third party entities on the web.
Quantify technical debt in developer-hours. Analyzes code duplication, complexity hotspots, stale code, missing tests, and documentation gaps.
Modern web applications can be energy-intensive, leading to higher carbon footprints. The CO2EmissionWebpackPlugin aims to quantify and reduce web-related carbon emissions by analyzing Webpack output files and their environmental impact.
TypeScript definitions for string-pixel-width
Migration stats for frameworks
Written provides a set of utilities for manipulating text, with a focus on providing typographic tools rather than pure string manipulation.
AWS SDK for JavaScript Cost Optimization Hub Client for Node.js, Browser and React Native
CIE color difference algorithms in JavaScript/TypeScript.
String and token manipulation
Quantify the cost savings of asymmetric retrieval (embed with voyage-4-large, query with voyage-4-lite) for your specific data by comparing result quality and calculating actual savings.
Framework used to research bug correlations to quantifications of software artefacts and automatically find bugs with machine learning methods
On hold for upcoming quantitative research project.
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.
Specify the universe: None, Some, Excluding, and All
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
Median, Statistical Measures, Mathematics, Statistics
A fast, accurate and versatile tool for long-read transcript quantification.
The base library for the Gate Project.
A gem to support physical quantities and unit conversions
Quantify extension which configures units for use with the AMEE platform
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.
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.
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