npm module that utilizes a python machine learning recommendation engine to give easy access to product recommendations.
Demo application for the NPM module Product-Recommender
UI widgets for usage of Product Recommender
Recommender client for Node.js
Nice text table for the CLI
Recommendation engine for SandDance charts
TypeScript typings for Recommender API v1beta1
TypeScript typings for Recommender API v1
load config file from .{product}rc.{json,yml,js}
Use this package for Product Fruits installation into NPM environments. This package can be used in browser environments. The package supports TypeScript.
Recommendations for Node.js using collaborative filtering
Medusa Product module
javascript checkpoint client
recommender
Computes the dot product between two numeric arrays.
Manages extension recommendations for VS Code
AWS SDK for JavaScript Marketplace Metering Client for Node.js, Browser and React Native
A simple content-based recommender implemented in javascript
A package of feature-rich Essential JS 2 components such as DropDownButton, SplitButton, ProgressButton and ButtonGroup.
Dynamic accessibility analysis for React using axe-core
bizcharts
Multiplies two floating point numbers together producing a non-overlapping increasing sequence of floats
Sentry SDK integration for user feedback
Tree component for Fluent UI React
Spree extension to send product recommendations to friends
Recommender is a service on Google Cloud that provides usage recommendations for Cloud products and services.
Recommender is a service on Google Cloud that provides usage recommendations for Cloud products and services. Note that google-cloud-recommender-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-recommender instead. See the readme for more details.
This is social networks api wrapper and authorization tools for social applications. Now it is a compilation of code from various projects in production. Without tests. =( NOT RECOMMENDED USE IN PRODUCTION.
Provides the Binding#of_caller method. Using binding_of_caller we can grab bindings from higher up the call stack and evaluate code in that context. Allows access to bindings arbitrarily far up the call stack, not limited to just the immediate caller. Recommended for use only in debugging situations. Do not use this in production apps.
Adds methods to DebugInspector to allow for inspection of backtrace frames. The debug_inspector C extension and API were designed and built by Koichi Sasada, this project is just a gemification of his work. This library makes use of the debug inspector API which was added to MRI 2.0.0. Only works on MRI 2 and 3. Requiring it on unsupported Rubies will result in a no-op. Recommended for use only in debugging situations. Do not use this in production apps.
Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the application's source code, helping you identify the parts of the application consuming the most resources, and otherwise illuminating the performance characteristics of the code. Note that google-cloud-profiler-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-profiler instead. See the readme for more details.
Web Risk is an enterprise security product that lets your client applications check URLs against Google's constantly updated lists of unsafe web resources. Note that google-cloud-web_risk-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-web_risk instead. See the readme for more details.
Web Risk is an enterprise security product that lets your client applications check URLs against Google's constantly updated lists of unsafe web resources. Note that google-cloud-web_risk-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-web_risk instead. See the readme for more details.
This gem aims to load config to ENV varaible easily. Currently configuration can be done by a .env, a yaml file or by loading from AWS System Manager Parameter Store which is recommended for production deployment.
Toolkit for rapid prototyping of interactors, use cases and service objects. Using DCI (Data, context and interaction) the new programming paradigm from the inventor of the MVC pattern. This implementation consumes excessive memory (hence the name) and is not recommended for production.
Add-ons are customized applications that integrate with Google Workspace productivity applications. Note that google-cloud-gsuite_add_ons-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-gsuite_add_ons instead. See the readme for more details.
No description provided.
No description provided.
No description provided.
No description provided.