ES Proposal spec-compliant shim for SuppressedError
An ESnext spec-compliant `DisposableStack`, `AsyncDisposableStack`, `Symbol.dispose`, and `Symbol.asyncDispose` shim/polyfill/replacement that works as far down as ES3.
tsc with --supress
A helper utility for logging of WebdriverIO packages
Drop-in replacement for biome check that maintains error baseline and only fails on new errors
Roll out new ESLint rules in a large monorepo without cluttering up your code with "eslint-ignore-next-line"
Shared oclif helpers for errors, logging, JSON support, etc.
A Docusaurus2 plugin that provides out-of-the-box support for Dotenv
Jest preset used by a MC application
`<sp-slider>` allows users to quickly select a value within a range. They should be used when the upper and lower bounds of the range are invariable.
A helper utility for logging of WebdriverIO packages
Pagination UI Component for the Synerise Design System
Client part of forms-angular audit plugin
render React components to Markdown strings for SSG-MD
post comment to GitHub issue/pull requests
Strips suppressed results from SARIF files
tsc with --supress
TypeScript SDK for Apollo Signal API
Design System Textarea component
A prose-oriented wrapper for textlint-plugin-typst
Trustworthy memory and security for AI agents. Recall debugging, review queue, OpenClaw session capture, and memory poisoning defence for Claude Code, Codex, OpenClaw, LangChain, and MCP agents.
OS notifications for OpenCode — alerts when your agent needs attention
A WebAssembly module implementing the RNNoise noise suppression library for livekit typescript.
LaTeX Math for Markdown ... with macros and more
OutputCatcher is available as a Rails plugin and as a gem. It provides a way to capture the standard out($stdout) or standard error($stderr) of your code without pain and suppresses the output of the 'err' or 'out' stream.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None