My Financial Freedom Tracker vs Beancount: Should We Build a 'FIRE Dashboard' or Export to Specialized Tools?

General
1

I’ve been tracking my FIRE journey in Beancount for 3 years now, but lately I’ve been exploring specialized FIRE tools like My Financial Freedom Tracker, ProjectionLab, and Fireleap. Each one promises features that would take me months to build in Beancount—one-click net worth dashboards, Monte Carlo retirement simulations, visual FI progress tracking. And they’re genuinely impressive.

But here’s my dilemma: I’m now maintaining two separate systems, and I’m wondering if the Beancount community should build a dedicated “FIRE Dashboard” or if we should focus on seamless integrations with existing tools.

What FIRE-Specific Tools Offer (That Beancount Doesn’t—Yet)

After testing several tools, here’s what they excel at:

1. Polished UX Optimized for Non-Technical Users
My Financial Freedom Tracker has a gorgeous net worth dashboard that consolidates bank accounts, brokerages, real estate, crypto, and liabilities into one view with monthly snapshots showing wealth trajectory. My spouse can look at it and immediately understand our financial position. With Beancount? I’d need to write BQL queries and generate charts.

2. Pre-Built FIRE Calculations
ProjectionLab supports five FIRE variants (Lean FIRE, Regular FIRE, Fat FIRE, Coast FIRE, Barista FIRE) with Monte Carlo simulations running thousands of scenarios against historical market data. It calculates my FI number, shows probability of success, factors in Social Security timing, analyzes withdrawal strategies. Building this in Beancount would require extensive Python scripting.

3. Motivational Features
Fireleap has community benchmarking—I can see where I stand compared to others at my income level and age. It’s surprisingly motivating to see that my savings rate of 52% puts me in the top 15% of users. Progress bars, milestone celebrations, visual countdowns to FI dates—these psychological features matter more than I expected.

What Beancount Offers (That FIRE Tools Don’t)

But every time I use these tools, I miss Beancount’s strengths:

1. Complete Transaction History
FIRE tools show me my net worth is $380K. Great. But why did it increase $12K last month? Was it investment gains, side income, or reduced spending? Beancount tells me exactly where every dollar went. I can drill down from “net worth increased” to “paid off $3K car loan, $5K investment returns, $4K bonus from work.”

2. Unlimited Customization
Want to track “true savings rate” (excluding retirement account growth)? Calculate cost-basis for tax-loss harvesting? Analyze expense categories by quarter? Beancount + BQL lets me query anything. FIRE tools give me predefined metrics—I can’t add custom calculations without CSV exports and spreadsheet gymnastics.

3. Privacy and Data Ownership
My Financial Freedom Tracker is free (which is amazing), but it’s cloud-hosted. ProjectionLab requires uploading financial data. With Beancount, my financial life lives in plain text files on my laptop, backed up to my own encrypted storage. No terms of service changes, no vendor lock-in, no “oops we got acquired and shut down the free tier.”

My Current (Messy) Workflow

Right now I’m doing this ridiculous dance:

  1. Track everything in Beancount (source of truth)
  2. Export monthly net worth to CSV (Python script pulling account balances)
  3. Manually update ProjectionLab with current net worth and expenses
  4. Run projections to see updated FI timeline
  5. Return to Beancount when I need to debug where money actually went

It works, but it’s tedious. And I’m probably the only person in my household who could maintain this system (not great for the “hit by a bus” scenario).

The Fork in the Road: Build or Integrate?

So here’s my question for the community: Should we build a “Beancount FIRE Dashboard” (all-in-one tool that reads Beancount ledgers and provides FIRE metrics, projections, and visual tracking), or should we focus on building seamless integrations with existing tools like ProjectionLab and My Financial Freedom Tracker?

Option A: Build a FIRE Dashboard

  • Pros: One system, native Beancount integration, full customization, privacy-first
  • Cons: Huge development effort, hard to match UX polish of dedicated tools, ongoing maintenance burden

Option B: Build Export/Integration Tools

  • Pros: Leverage existing tools’ investments in UX, focus Beancount community effort on what we do best (accurate tracking), lower maintenance
  • Cons: Still requires multiple systems, depends on external tools remaining available/affordable

I’m leaning toward Option B—building great export and integration tooling—but I’m curious what others think. Has anyone built workflows that elegantly bridge Beancount and FIRE planning tools? What would make data export easier? Should we standardize on a particular format (CSV, JSON API, something else)?

For anyone pursuing FIRE with Beancount: how are you handling projections and scenario planning?

Related discussions:

2

I went down this exact road about 18 months ago, and I’m firmly in the Option B: Integration camp now.

Here’s what happened: I got frustrated manually updating my FIRE tracking spreadsheet every month, so I thought “I’ll just build a Beancount FIRE dashboard!” I spent three weekends building a Flask app that read my ledger, calculated net worth by month, generated charts for savings rate and FI progress, and even had a primitive Monte Carlo simulator.

It worked! For about two months. Then I realized:

  1. I was maintaining code, not using financial tools. Every time I wanted to add a feature (What if I retire at 62 vs 65? How does Roth conversion ladder timing affect my taxes?), I had to write Python code instead of just playing with sliders in ProjectionLab.

  2. The UX was always going to be mediocre. I’m decent at Python, not a front-end developer. My dashboard looked like a 2010 admin panel. My spouse took one look and said “Can’t you just use something that looks nice?”

  3. Beancount’s strength is accuracy, not forecasting. Beancount is amazing at telling me exactly what happened—every transaction, every balance, perfect audit trail. But FIRE planning is about modeling the future with uncertainty, scenarios, and probabilities. Those are fundamentally different problems.

My Current Workflow (That Actually Works)

Now I do this, and it’s been solid for over a year:

Step 1: Track everything in Beancount (source of truth).

Step 2: Monthly, I run this 20-line Python script that:

  • Pulls account balances as of last day of month
  • Calculates net worth (Assets - Liabilities)
  • Calculates monthly expenses (averages last 3 months)
  • Exports to CSV: date, net_worth, monthly_expenses, savings_rate

Step 3: Import CSV into ProjectionLab (takes 30 seconds, they have a CSV import feature).

Step 4: Run scenarios in ProjectionLab: What if we move to lower cost of living area? What if I go part-time at 55? What if market returns are lower than historical average?

The key insight: Beancount handles “what happened,” ProjectionLab handles “what if.” And each tool is excellent at its job. I’m not trying to make Beancount do financial planning, and I’m not asking ProjectionLab to track my actual transactions.

What the Community Should Build

If we want to make this easier for others, I think we should focus on:

  1. Standardized export scripts for different FIRE tools. I’d be happy to share mine for ProjectionLab. Someone else might have one for My Financial Freedom Tracker or Fireleap.

  2. Beancount plugin for common FIRE queries. A fire.bean plugin that adds commands like bean-fire net-worth or bean-fire savings-rate --last-12-months so you don’t have to write custom BQL every time.

  3. Documentation on FIRE workflows with Beancount. A guide that says “Here’s how to track accurately in Beancount, here’s how to export for planning tools, here’s how to maintain both systems without going crazy.”

The beauty of Beancount is that it’s composable—it plays well with other tools because everything is just text files and BQL queries. Let’s lean into that strength instead of trying to build an all-in-one solution.

That said, if someone wants to build a Beancount FIRE Dashboard, I’d definitely try it! But I’d encourage starting with a focused MVP: just net worth and FI progress visualization. Don’t try to compete with ProjectionLab’s Monte Carlo engine on day one.

3

Coming from a software engineering background (DevOps by day, personal finance newbie by night), I’m really excited about the integration/automation angle here!

@helpful_veteran Your workflow is exactly what I was imagining when I started exploring Beancount. But I’m wondering: can we go even further with automation?

What If We Built a Beancount → FIRE Tools Bridge?

Instead of manual CSV exports every month, what if there was a command-line tool or GitHub Action that:

  1. Runs on a schedule (monthly, weekly, or on-demand)
  2. Reads your Beancount ledger
  3. Calculates key metrics (net worth, expenses, savings rate)
  4. Pushes directly to FIRE tool APIs (if they have APIs)

Basically: bean-fire sync --target projectionlab and you’re done. Version control for your Beancount files, automated sync to planning tools, no manual CSV juggling.

I checked, and ProjectionLab doesn’t seem to have a public API (unless I missed it?). But maybe they’d be interested in building one if there’s community demand? Or we could reach out to tools like My Financial Freedom Tracker and ask about API access.

The Developer in Me Sees a Pattern Here

This feels similar to how developers handle monitoring and observability:

  • Beancount = Application (source of truth) — where the actual data lives
  • FIRE Tools = Dashboards (visualization/analysis) — Grafana, Datadog, etc.
  • Export Scripts = Instrumentation — collecting and sending metrics

In the DevOps world, we don’t try to build monitoring dashboards into every application. We instrument applications to send metrics to specialized tools that are great at visualization and alerting.

Could the Beancount community adopt a similar philosophy? Make Beancount really good at recording financial truth, then build “instrumentation” that sends metrics to specialized tools for analysis.

What I’d Love to See (And Might Try to Build)

  1. bean-export command with plugins for different tools:

    • bean-export --format projectionlab --output data.csv
    • bean-export --format firefly --output transactions.json
    • bean-export --format custom --config my-fields.yaml

  2. Open-source integration repo where community shares export scripts, with examples for different FIRE tools and use cases.

  3. GitHub Actions template so I could just add a workflow file to my Beancount repo, and it auto-syncs to my FIRE tool monthly.

I’m still early in my Beancount journey (2 months in), but if there’s interest, I’d be happy to start a GitHub project for this. I’ll probably need help from more experienced Beancount users on the data extraction side, but I can handle the automation/CI-CD parts.

Thoughts? Is this overengineering, or does this sound like something others would use?

Also, @finance_fred would you be willing to share your export script? Even just seeing the structure would be super helpful for understanding what metrics FIRE tools actually need.

4

From a professional accounting perspective, I want to add some thoughts on why keeping these systems separate is actually the right approach—and it’s not just about development effort.

Accounting ≠ Financial Planning (And That’s Good)

In my CPA practice, I see clients confuse these two functions all the time:

Accounting (Beancount’s domain):

  • Records what actually happened
  • Historical, factual, auditable
  • Follows accounting principles (double-entry, balance)
  • Answers: “Where did my money go? What do I own? What do I owe?”

Financial Planning (FIRE tools’ domain):

  • Models what might happen
  • Forward-looking, probabilistic, scenario-based
  • Uses assumptions, projections, and simulations
  • Answers: “When can I retire? What if I save more? What’s my risk of running out of money?”

These are fundamentally different disciplines with different standards and requirements. When people try to build systems that do both, they often end up with:

  1. Accounting that’s too imprecise (because you’re letting planning assumptions contaminate historical records), or
  2. Planning that’s overly constrained (because you’re forcing future scenarios to follow accounting rules that don’t apply to projections)

Real-World Example from My Practice

I had a small business client who built an Excel workbook that tried to do everything: bookkeeping, budgeting, cash flow forecasting, and “what-if” scenarios for business expansion. It was 47 tabs of increasingly complex formulas.

The result? Their 2024 tax return took me an extra 15 hours because I couldn’t tell which numbers were actual transactions vs. forecasted scenarios they’d built for planning. We ended up starting over with proper bookkeeping.

Now they use QuickBooks for accounting (historical record) and a separate financial model for planning. Is it two systems? Yes. But each system does one thing well, and there’s a clear handoff: “QuickBooks tells us what happened, our model tells us what might happen.”

What This Means for Beancount + FIRE Tools

I think the community should embrace this separation:

Beancount’s job: Be the authoritative, accurate, auditable record of your financial life. Every transaction, every balance, provable and traceable. This is your financial “source of truth.”

FIRE tool’s job: Take that truth (via export), apply assumptions about future returns, model different scenarios, visualize probabilities. This is your “decision support system.”

The export process—even if it’s manual—is actually a feature, not a bug. It’s a forcing function that makes you:

  1. Review your actual numbers before feeding them to planning tools
  2. Think about whether your accounting data is clean enough to trust for projections
  3. Maintain clear separation between “what happened” (Beancount) and “what if” (FIRE tools)

My Recommendation: Invest in Export Quality, Not Feature Parity

Instead of trying to make Beancount do financial planning (or FIRE tools do accounting), the community should focus on:

  1. Standardized export formats with validation. If you export net worth, make sure assets and liabilities actually balance. If you export expenses, make sure categories are consistent month-to-month.

  2. Documentation of what metrics FIRE tools need. Most want: net worth by date, monthly expenses (total and by category), income, asset allocation. Let’s document exactly what fields each tool expects.

  3. Simple, auditable export scripts. The script itself should be simple enough that you can verify: “Yes, this is pulling the right data from my ledger.” Not a black box.

  4. Testing and validation. Build in sanity checks: “Your net worth decreased 80% this month—are you sure?” before you send bad data to a planning tool.

Trying to build a “Beancount FIRE Dashboard” that matches ProjectionLab’s Monte Carlo engine and My Financial Freedom Tracker’s UX is years of work. Building a rock-solid, well-documented export script? That’s weeks of work, and it helps everyone who wants to use Beancount with any planning tool.

Let Beancount be great at accounting. Let FIRE tools be great at planning. Build a really good bridge between them.

5

This discussion is exactly what I was hoping for—thank you @helpful_veteran, @newbie_accountant, and @accountant_alice!

I think I’ve been convinced: Option B (integration) is the pragmatic path forward. The “separation of concerns” argument really resonates, especially from a professional accounting perspective.

Sharing My Working Export Script

@newbie_accountant asked about my export script—here’s a simplified version of what I run monthly:

#!/usr/bin/env python3
"""Export Beancount data for FIRE planning tools."""

from beancount import loader
from beancount.core import getters
from beancount.query import query
import csv
from datetime import date

# Load your Beancount ledger
entries, errors, options = loader.load_file('finances.beancount')

# Query for monthly net worth (last day of each month)
net_worth_query = """
  SELECT date, sum(convert(balance(account), 'USD')) AS net_worth
  WHERE account ~ '^(Assets|Liabilities)'
  GROUP BY month(date)
  ORDER BY date DESC
  LIMIT 24
"""

result = query.run_query(entries, options, net_worth_query)

# Export to CSV
with open('fire_export.csv', 'w') as f:
    writer = csv.writer(f)
    writer.writerow(['Date', 'Net Worth', 'Monthly Expenses', 'Savings Rate'])

    for row in result[1]:
        # You'd calculate expenses and savings rate similarly
        # This is simplified for illustration
        writer.writerow([row.date, row.net_worth, '', ''])

print(f"Exported {len(result[1])} months to fire_export.csv")

It’s basic, but it gets the job done. I manually import the CSV into ProjectionLab once a month.

What Would Make This Better?

Reading this discussion, here’s what would improve my workflow:

1. Standardized Metrics Library
A Beancount plugin that defines common FIRE calculations:

  • Net worth (assets - liabilities)
  • Monthly expenses (average, median, trends)
  • Savings rate (multiple definitions: gross, net, excluding home equity)
  • Asset allocation (stocks/bonds/cash percentages)

So instead of writing custom BQL, I could just: bean-fire metrics --last-12-months

2. Validated Export Templates
Pre-built export scripts for specific tools, with validation built in:

  • ProjectionLab format (columns: date, net_worth, expenses, income)
  • My Financial Freedom Tracker format (whatever they need)
  • Generic FIRE format (a standard that multiple tools could adopt)

@accountant_alice’s point about validation is crucial—my script should warn me if: “Net worth dropped 50% this month, probably a data error?”

3. Community Repository
A GitHub repo where we share and maintain export scripts. Something like:

beancount-fire-tools/
  exporters/
    projectionlab.py
    my-financial-freedom-tracker.py
    fireleap.py
  docs/
    tool-requirements.md  # What each tool needs
    workflow-guide.md     # Best practices
  tests/
    # Validation tests for export accuracy

I’m Willing to Start This

If there’s interest, I’ll create a GitHub repo called beancount-fire-exports and upload my ProjectionLab script as the first example. Then others can contribute exporters for their preferred tools.

But before I do that: would this actually be useful to others? Or is everyone’s setup too custom for standardized scripts to help?

Also curious: does anyone have experience reaching out to FIRE tool developers about API access? If ProjectionLab or My Financial Freedom Tracker added an API endpoint like POST /api/v1/metrics, this whole conversation gets much easier. We could build a daemon that syncs automatically instead of manual CSV exports.

For anyone interested in collaborating: drop a comment or DM me. I think this could be a small but genuinely useful project for the Beancount FIRE community.