API wrapper for Collected Notes
Minimal plugin to get posts from Collected Notes API
Gathers usage statistics for components used during application development
Exposes a polyfill for the Node.js module diagnostics_channel
JSON Web Token implementation (symmetric and asymmetric)
Execute a function on exit without leaking memory, allowing all objects to be garbage collected
semantic-release plugin to generate changelog content with conventional-changelog
Understand how your tool is being used by anonymously reporting usage metrics to Google Analytics or Yandex.Metrica
An LRU cache of weak references
zlib port to javascript - fast, modularized, with browser support
A library for the MQTT protocol
A Storybook addon that provides a real-time performance monitoring panel with frame timing, input latency, layout shift, and React render profiling.
A robust & optimized `String.prototype.includes` polyfill, based on the ECMAScript 6 specification.
This is the vanilla JS of Paper Shaders. You can also find framework specific wrappers
OpenTelemetry Jaeger propagator provides HTTP header propagation for systems that are using Jaeger HTTP header format.
This plugin tracks execution and resolvers and reports it using [`apollo-tracing`](https://github.com/apollographql/apollo-server/tree/main/packages/apollo-tracing) format (based on GraphQL `extensions`).
process information for node.js and browsers
JavaScript APG, an ABNF Parser Generator
A single asynchronous function that returns a browser fingerprint (8‑char hex) without requiring any user permission.
OpenTelemetry instrumentation for AWS Lambda function invocations
Utilities for creating robust overlay components
Parse an SMTP (RFC-5321) address
``` import { MeshGradient, DotOrbit } from '@paper-design/shaders-react';
Allows you to better understand what's going on with your application and how to optimize performance and other things in production
This plugin provides native memory instrumentation for monitoring and metrics collection, including: memory usage via `free` and `vmstat`, including metrics. Note that this plugin may have cross-platform issues.
Keeps a cruft.txt file in the app directory, which collects #cruft: notes from the app source code in a single place.
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. Note that google-cloud-monitoring-v3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-monitoring instead. See the readme for more details.
Ingo converts AsciiDoc files in a directory and converts them using Asciidoctor. It is built for collecting notes in AciiDoc format and presenting them.
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. The Dashboards API manages arrangements of display widgets. Note that google-cloud-monitoring-dashboard-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-monitoring instead. See the readme for more details.
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. The Metrics Scopes API manages the list of monitored projects and accounts. Note that google-cloud-monitoring-metrics_scope-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-monitoring instead. See the readme for more details.
The Network Management API provides a collection of network performance monitoring and diagnostic capabilities. Note that google-cloud-network_management-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-network_management instead. See the readme for more details.
AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models. Note that google-cloud-data_labeling-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_labeling instead. See the readme for more details.
ActiveFunction is a collection of gems designed to be used with Function as a Service (FaaS) computing instances. Inspired by aws-sdk v3 gem structure and rails/activesupport. Features: - Ruby Version Compatibility: Implemented with most of Ruby 3.2+ features, with support for Ruby versions >= 2.6 through the RubyNext transpiler (CI'ed). - Type Safety: Achieves type safety through the use of RBS and Steep (CI'ed) [Note: disabled due to the presence of Ruby::UnsupportedSyntax errors]. - Plugins System: Provides a simple Plugin system inspired by Polishing Ruby Programming by Jeremy Evans to load gem plugins and self-defined plugins. - Gem Collection: Offers a collection of gems designed for use within ActiveFunction or as standalone components.
The Cloud Debugger API allows applications to interact with the Google Cloud Debugger backends. It provides two interfaces: the Debugger interface and the Controller interface. The Controller interface allows you to implement an agent that sends state data -- for example, the value of program variables and the call stack -- to Cloud Debugger when the application is running. The Debugger interface allows you to implement a Cloud Debugger client that allows users to set and delete the breakpoints at which the state data is collected, as well as read the data that is captured. Note that google-cloud-debugger-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-debugger instead. See the readme for more details.
NOTE: If you are looking for the dependency management software, that's bundler, not bundlr. Bundlr is a ruby distributed computing and data indexing research platform. It is inspired by projects like BOINC, the Berkeley Open Infrastructure for Network Computing, an open-source middleware system that supports volunteer and grid computing. Bundlr is a similar system that approved research projects can use to both obtain compute power, but also obtain access to a variety of computing environments and systems and perform data collection and indexing across volunteer-supplied data. It is still in the early stages of conception.
Belletrist is a collection of Ruby DSLs for generation of different data file types. Currently, HTML and JSON are supported but that will grow as my needs do, or if other people want or contribute any other DSLs. It is important to note that Belletrist has a focus on performance, not correctness. Belletrist ascribes to the rule of "what goes in, must come out", and as such Belletrist DSLs must output well-formed documents so long as the developer provides Belletrist valid input. If that contract is broken the result is undefined.