yarn
Starting both an API and frontend instance
yarn dev
This repository uses automatic deploys with Heroku on the master
branch.
CS411 Course Project
Requires #2
This was the starting point for this:
#1
API Design:
https://docs.google.com/document/d/1TdQEt5VsO6ULfXvALdZlrlJqvr3dkJa8__IKuaxzjNs/edit?usp=sharing
The API should return proper HTTP status codes.
Examples:
200 OK
404 Not Found
204 Ok, no content
500 Internal Server Error
For now, the API only needs to return data fixures. We can connect it to the database once #2 is done.
Requires #2
This was the starting point for this:
#1
API Design:
https://docs.google.com/document/d/1TdQEt5VsO6ULfXvALdZlrlJqvr3dkJa8__IKuaxzjNs/edit?usp=sharing
The API should return proper HTTP status codes.
Examples:
200 OK
404 Not Found
204 Ok, no content
500 Internal Server Error
For now, the API only needs to return data fixures. We can connect it to the database once #2 is done.
Using the googlescholar dataset, we need to get that information into our neo4j database.
The dataset doesn't include citation relationship information which is why #9 exists.
As title.
Login Credentials should be stored in a .env file
dotenv npm package
Connection script should be under /api/
Good package to use: https://www.npmjs.com/package/react-d3-graph
For now, we need to create data fixtures as a stand-in for our API (until it's done). Then we want to render some graphs representing the data in the fixture.
TODO:
[ ] Create data fixture for some graph. We don't know what the api design for this is yet so don't worry about making a fake api client. The data fixture can be used directly in the component.
[ ] Render the data fixture using the react-d3-graph package in the /explore tab
And get it into our GrapheneDB if possible.
I'd suggest using python or javascript for this issue...
For Python:
https://www.crummy.com/software/BeautifulSoup/bs4/doc/
https://selenium-python.readthedocs.io/getting-started.html
For Javascript:
https://github.com/cheeriojs/cheerio
https://github.com/puppeteer/puppeteer
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.