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https://github.com/azizmashkour/labforward-frontend-test

The core features of our scientific IoT platform are the ability for researchers to easily record, organize, search, and share their instrument datas.
https://github.com/azizmashkour/labforward-frontend-test

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The core features of our scientific IoT platform are the ability for researchers to easily record, organize, search, and share their instrument datas.

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README

        

# Data analysis
[![Build Status](https://travis-ci.org/azizmashkour/labforward-frontend-test.svg?branch=master)](https://travis-ci.org/azizmashkour/labforward-frontend-test)

This project was generated with [Create React apps with no build configuration](https://github.com/facebook/create-react-app)

## Libraries used
- chart.js: Used for the Data visualization [read more here](https://www.createwithdata.com/react-chartjs-dashboard/)
- i18next: Used for i18n browser translation (french and english). [read more here](https://react.i18next.com/)
- enzyme: Used for testing. [read more here](https://airbnb.io/enzyme/)

## Getting Started
1- Clone or download this project from the repository.

2- After cloning you need to install project dependencies depending on your packages manager by running `npm install` Or `yarn`.

## Development server

Run `npm start` or `yarn start` for a dev server. Navigate to `http://localhost:3000/`. The app will automatically reload if you change any of the source files.

## Build

Run `yarn build` to build the project. The build artifacts will be stored in the `build/` directory. Use the `--prod` flag for a production build.

## Running unit tests

Run `npm run test` or `yarn test` to execute the unit tests via [Karma](https://karma-runner.github.io).

## Continuous integration used

This project is setup to be build by [TravisCI](https://travis-ci.com/) after every deployment on Github

## Demo
You will find a Demo or the working project [here](https://labforward.herokuapp.com)

## Other details
Don't hesitate to put any comment here 😉.