Binance Chain Analytics Dashboard UI
Budget: $250 – $750 USD
I need a Python-driven Web3 interface that turns raw on-chain data from Binance Smart Chain into a polished analytics dashboard. The front end should feel snappy and modern while streaming live metrics—blocks, transactions, token movements—straight from the chain. At the same time, I want the ability to dig into any past period through flexible date-range filters and export the results for deeper offline work.
You’re free to pick the stack that lets you move fastest (Dash, Plotly, Streamlit, or a Flask/React combo are all fine) so long as everything is orchestrated in Python and can be deployed on a standard Linux VPS. Behind the scenes, the app must connect to a BSC node or reliable public RPC, cache or batch queries to stay performant, and feed real-time updates to the charts without manual refresh.
Deliverables
• Complete, well-commented source code and setup guide (requirements.txt or Dockerfile included)
• Responsive UI with live visualizations and a dedicated historical analysis view
• Modular data layer for Binance Smart Chain interaction (Web3.py or similar)
• Quick walk-through (video or markdown) confirming the features work end-to-end
Acceptance Criteria
• Dashboard loads initial data in under five seconds on a modest VPS
• Real-time components update automatically within two blocks of network finality
• Historical queries return results within set date ranges and allow CSV download
• Code passes basic linting/tests and can be spun up with a single command
If this sounds like your kind of build, let’s get started—I’m ready to review your approach and timeline.
You’re free to pick the stack that lets you move fastest (Dash, Plotly, Streamlit, or a Flask/React combo are all fine) so long as everything is orchestrated in Python and can be deployed on a standard Linux VPS. Behind the scenes, the app must connect to a BSC node or reliable public RPC, cache or batch queries to stay performant, and feed real-time updates to the charts without manual refresh.
Deliverables
• Complete, well-commented source code and setup guide (requirements.txt or Dockerfile included)
• Responsive UI with live visualizations and a dedicated historical analysis view
• Modular data layer for Binance Smart Chain interaction (Web3.py or similar)
• Quick walk-through (video or markdown) confirming the features work end-to-end
Acceptance Criteria
• Dashboard loads initial data in under five seconds on a modest VPS
• Real-time components update automatically within two blocks of network finality
• Historical queries return results within set date ranges and allow CSV download
• Code passes basic linting/tests and can be spun up with a single command
If this sounds like your kind of build, let’s get started—I’m ready to review your approach and timeline.