When I first started experimenting with Monero mining and self-hosted infrastructure, I did what everyone else does: I downloaded the Monero software, the P2Pool software, the XMRig software. After tinkering with configuration files, writing custom startup scripts, and creating system service definitions, I was finally able to start mining.
But I quickly realized that every service had its own config format, setup quirks, and lifecycle management needs.
I watched the logs and my Monero wallet. Sure enough, it wasn’t long before I received my first payout. As time went by, the payouts continued — but it was hard to see any trends or even guess at future earnings. Was that tweak I made to XMRig paying off?
What struck me almost immediately was the lack of analytics. The best I could do was export my Monero wallet transactions, load them into a spreadsheet, and create a chart. It was painful, ad-hoc, and — worst of all — a repetitive manual process.
Any programmer will immediately recognize this as a perfect opportunity to automate.
The Monero Wallet is a sophisticated piece of software that’s designed to be secure. I couldn’t see a way to programmatically access my transactions, but I could see the transactions — and other interesting information — in the P2Pool log. I realized that it was a rich source of data. Instead of accessing my wallet, I could mine the P2Pool log to gauge the performance of my small mining farm over time.
So I went to work. That marked the beginning of Db4E.
I created a persistent data store — starting with SQLite, switching to ZODB, and finally settling on MongoDB. I wrote a log watcher to monitor the P2Pool log for transaction events, and while I was at it, I also collected Share Found, Block Found, and Hashrate data for my miner, the mini-sidechain where I was mining, and the main chain — just because I could.
Next, I wrote a dashboard using Urwid that would query Mongo every minute. It wasn’t easy — Urwid is a beast. It was hot stuff in 2012, but it was painful to work with in 2024. Still, I persisted.
After a couple of months of hacking away, I had a basic dashboard. No graphs yet, but I could see recent XMR payments and Shares found. It was a start.
I dove back in and added hashrate data for my miners, the sidechain, and the mainchain. I timestamped the miner data so I could detect if a miner went down. It was starting to look decent, but it was brittle and hard to extend. There were no controls — just updates every minute. But I could tell at a glance that all was well.
I still didn’t have any plots or graphs. I was still manually exporting wallet transactions, but now I had a script to massage the export into a CSV format that was easy to plot in a spreadsheet. Still painful.
I considered Tk/Tcl, Gtk, Qt — but I had no experience with any of them. And let’s be honest: each of those options would require a steep learning curve, a full desktop environment, and a long list of pre-requisites just to get up and running. That felt like overkill for what I needed.
Then I thought, “What about the Web?”
The browser would be my GUI. GitHub provides free hosting via GitHub Pages, so I had a platform. I did some research and settled on JavaScript + ApexCharts. I wrote code to extract the data from Mongo, generate CSV and Markdown files, and push the results to GitHub Pages using git.
Finally, I had plots. I could see my daily and cumulative earnings over time.
I sat back and basked in the glory. Life was good. I’d built a pipeline:
P2Pool → Mongo → CSV → GitHub Pages → ApexCharts + Markdown.
It was complicated and spanned a lot of tech, but it worked.
Then, one day, while browsing r/MoneroMining on Reddit, I casually took a couple of screenshots and posted them. The interest was overwhelming.
The post got over a hundred upvotes. Today, it has 27,000 views. Comments poured in:
“What GUI is that? It looks nice.”
“Looks good. I might give it a try.”
“What’s the name of that GUI?”
“Pretty cool.”
That moment changed everything.
It made sense — anyone mining has faced the same challenges.
But Db4E wasn’t packaged. It was a hobby project. You could clone my GitHub repo, but you’d still have to set up the Monero blockchain daemon, P2Pool, XMRig — and now Db4E — just to get what I had. Not small obstacles.
If I wanted to share what I’d built, I needed to create a deployment tool.
So I went back to the keyboard.
I dropped Urwid — it was just too hard to work with. I adopted Textual instead. Textual is a Rapid Application Development framework for Python; a Terminal User Interface.
I now have a clean architecture and a fully functional initial install flow. The hardest part is done.
I’ve upped my game. I’m doing formal releases, I have a strict Git branching and commit strategy, and I’m writing a test suite.
Today I’ll be working on remote Monero daemon deployment. The hard work is already done — I expect to finish it by end-of-day. After that: local Monero deployment, P2Pool (local and remote), and XMRig. That’s the full deployment stack.
As I got more into Textural, I decided to drop the GitHub Pages + ApexCharts approach for historical trending. It’s too public — it exposes your mining activity, kind of like broadcasting your Bitcoin wallet. Instead, I’m going to implement the fancy plots directly in the terminal using plotext.
Yes — everything in the terminal.
Before you judge, check out the Textual site — especially Dolphie — and this plotext sample app that plots weather data.
Did I mention operational health? Why not!
I’ll be adding health checks so you can see if monerod, P2Pool, or a miner goes down. Alerts like:
“Your miner’s hashrate has dropped 20% in the last week”
-are definitely on the radar too.
Because running your own infrastructure shouldn’t require a PhD in Linux internals, a dozen ad hoc scripts, and three open terminals. Db4E enables you run things with confidence — and control with just a few clicks.
👀 Check it out on GitHub
📦 Install from PyPI
📬 Got questions or feedback? Open an issue or drop me a note — I’d love to hear from you.