Craig Rubino's repositories
facebook-app
facebook app
strapi
🚀 Open source Node.js Headless CMS to easily build customisable APIs
productdb-netlify
Netlify functions example with faunadb, graphql, and authorization
firebase-api
firebase restful api built using firebase functions
sneaker-webapp
Vuejs web app hosted on firebase
data-manager
vuejs app
postgraphile
Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database!
vue-netlify-fauna-starter-kit
A serverless stack for building CRUD applications with authentication baked in.
node-react-ecommerce
Build ECommerce Website Like Amazon By React & Node & MongoDB
bench
Multi-tenant platform to install and manage Frappe apps
webadmin-portal
firebase web portal for admin dashboard reports
jamstack-ecommerce
A starter project for building performant ECommerce applications with Gatsby and React
ecommerce-react
eCommerce web application using React, Redux, Redux-Saga, Firebase and SASS.
BC-stencil
Created with CodeSandbox
funkopops
funko pops api of the whole catalog of funko pops
vscode-extension-samples
Sample code illustrating the VS Code extension API.
Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets **(API keys included in code)**. The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are given for three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices for the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall