About Nodeyez

Nodeyez is a project that contains a variety of python scripts to produce images based on your Bitcoin Node

Images can be displayed to video output such as an attached screen on a Raspberry Pi, as well as to a website dashboard for browser based access. In addition, some scripts have support for reporting data to a local Blockclock Mini.

Scripts can be run on their own, or run continuously in the background as a service on system startup.

Images

A few sample images that you can produce on your node using Nodeyez are shown below

Bitcoin Panels

All of these panels can work with a local Bitcoin node. At this time, information is accessed via bitcoin-cli RPC calls.

• Art Hash
• Blockhash Dungeon
• Block Height
• Block Stats
• Difficulty Epoch
• Fee Estimates
• Halving Countdown
• Inscription Mempool
• Inscription Parser
• Mempool Space
• OP_RETURN

Lighting (LND) Panels

These panels can be configured to report on local LND based nodes, as well as remote ones over REST.

• LND Channel Balance
• LND Channel Fees
• LND Hub Account Balances
• LND Messages
• LND Ring of Fire

Mining Panels

Panels in support of mining pools and mining devices

• Miner Status
• Braiins Pool
• F2 Pool
• Luxor Pool

Nostr Panels

Panels specifically related to Nostr

• Nostr.Band Stats

Informational Panels

These panels only get their info from local system data

• IP Addresses
• System Metrics
• UTC Clock

Other Fun Panels

• Compass Mining Status
• Dual Image Display
• Fear and Greed Index
• Geyser Fund Projects
• Price of Bitcoin
• Raretoshi
• Sats per Fiat Unit
• Whirlpool CLI Mix Status
• Whirlpool Liquidity

Installation Procedures

1. Quick Start Installation -- Quick fast setup using install script!

2. General Node Guidance

3. Display Screen -- (optional)

4. Installing Common Tools

5. Nodeyez User Setup

6. Panel Index

7. Running the Slideshow -- (optional)

8. Website Dashboard

9. Running Nodeyez Services at Startup

10. Nodeyez-Config Tool -- NEW! Easy configuration!

Development Environment

1. Architecture
2. Python and IDE
3. Run and Change Code
4. Create New Panel
5. Setting up Regtest