Real-Time React Django Dashboard
Budget: ₹1,500 – ₹12,500 INR
I need a small, end-to-end dashboard built with a Django (Python) backend and a React.js frontend. The backend will connect to my existing MySQL schema—no modelling work is required, only solid integration.
What the dashboard must do for me
• Expose clean REST (or GraphQL, if you prefer) endpoints in Django that pull data from the current tables.
• Feed that data into a React interface that shows clear analytics graphs (think line, bar or pie charts depending on what suits the data best).
• Keep those graphs in sync with the database via real-time updates—WebSockets, Server-Sent Events or another reliable push method are fine, as long as the user sees fresh numbers without a page refresh.
Acceptance criteria
• Django project runs locally with settings for my MySQL credentials kept in a single env file.
• React app compiles and connects to the provided endpoints, displaying at least two meaningful analytics visualisations.
• A user can leave the tab open and watch figures update live with no manual refresh.
• Clear README steps for local setup (pip, npm/yarn, env variables, migration commands if any).
If you have experience pairing Django REST (or GraphQL) with React, and you’re comfortable wiring real-time channels on top, this should be straightforward. Let’s get it running quickly so I can start making decisions from the data.
What the dashboard must do for me
• Expose clean REST (or GraphQL, if you prefer) endpoints in Django that pull data from the current tables.
• Feed that data into a React interface that shows clear analytics graphs (think line, bar or pie charts depending on what suits the data best).
• Keep those graphs in sync with the database via real-time updates—WebSockets, Server-Sent Events or another reliable push method are fine, as long as the user sees fresh numbers without a page refresh.
Acceptance criteria
• Django project runs locally with settings for my MySQL credentials kept in a single env file.
• React app compiles and connects to the provided endpoints, displaying at least two meaningful analytics visualisations.
• A user can leave the tab open and watch figures update live with no manual refresh.
• Clear README steps for local setup (pip, npm/yarn, env variables, migration commands if any).
If you have experience pairing Django REST (or GraphQL) with React, and you’re comfortable wiring real-time channels on top, this should be straightforward. Let’s get it running quickly so I can start making decisions from the data.