Code Monkey home page Code Monkey logo

midnite-db's Introduction

midnite-db

Live site

midnite-db provides a more robust way to search the MyAnimeList database.

As a longtime fan of animated media, I would often search the MAL database to discover older or less well known media. However, I was often frustrated with the limited search capabilities available on the site. After scraping the MAL database, I built midnite-db to support more specific queries to enabled better targeted searches.

Stack

Client - React + TypeScript
Server - FastAPI (Python)
Database - MongoDB
MAL Scraper (link) - Python

Filter functionality

midnite-db enables more powerful queries for most filterable options on MAL.

There are three types of filters available: range filters, multi-select filters, and multi-select filters with sets.

Range filters for Score and Year

The range filters query for data that exists between the lower and upper values of the filter. On MAL, the Score filter is a single select that only enables searching for entries with a score between the selected integer value and the next integer value.

Multi-select filters for Media Type, Status, Rating, and Demographic

The multi-select filters query for data that matches any of the selected options. On MAL, all these filters are single select.

Multi-select filters with sets for Genre and Theme

The multi-select filters with sets query for data that matches all selected options, and also allows for multiple sets of options to be queried. If no sets are added, the filter submits the currently selected values. If sets of options are added, entries that match all options from any selected set are returned.

Upcoming Features

  • Responsive mobile friendly view
  • Ability to select options to exclude through filters
  • Studios filter to allow querying by production studio
  • Search bar to query title and synopsis text for current entries
  • Secondary list views that can be toggled (i.e. table display, tiles)

midnite-db's People

Contributors

jkim421 avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.