Financial Model Engineering — Python code compiles to live Excel formulas
Project description
Modeleon
Write Python. Ship real Excel formulas.
Variable — a value.
MultiVariable — a concept, modeled as a set of Variables and sub-concepts.
Excel — one cell-traceable snapshot of a MultiVariable.
import modeleon as mo
forecast = mo.MultiVariable("Forecast")
forecast.pnl = mo.MultiVariable("P&L")
with forecast.pnl as pnl:
pnl.revenue = mo.Variable(1_000_000, unit="$")
pnl.cogs_pct = mo.Variable(0.6, display_name="COGS %")
pnl.cogs = pnl.revenue * pnl.cogs_pct
pnl.profit = pnl.revenue - pnl.cogs
forecast.to_excel("forecast.xlsx")
The resulting forecast.xlsx:
| A | B | |
|---|---|---|
| 1 | Revenue | 1000000 |
| 2 | COGS % | 0.6 |
| 3 | Cogs | =B1*B2 |
| 4 | Profit | =B1-B3 |
B3 is =B1*B2 — a real Excel formula, not the baked value 600000.
Install
pip install modeleon
Python 3.12+.
Variable
A value or formula. Arithmetic tracks dependencies automatically.
revenue = mo.Variable(1_000_000)
cogs = revenue * mo.Variable(0.6)
cogs.value # 600_000.0
cogs.formula # 'revenue * 0.6'
cogs.dependencies # {'revenue'}
Scalar, list, or unit-bearing — all the same Variable.
MultiVariable
A concept. Variables are its attributes; sub-MultiVariables are its inner concepts.
forecast = mo.MultiVariable("Forecast")
forecast.assumptions = mo.MultiVariable("Assumptions", tax_rate=mo.Variable(0.25))
forecast.pnl = mo.MultiVariable("P&L")
forecast.pnl.revenue = mo.Variable(1_000_000)
forecast.pnl.taxes = forecast.pnl.revenue * forecast.assumptions.tax_rate
# ↑ cross-MV reference, fully resolved
Reusable concepts subclass MultiVariableClass:
class Cohort(mo.MultiVariableClass):
def compute(self, start, churn, price):
self.users = mo.recurrence(start, "{prev} * (1 - {c})", c=churn)
self.revenue = self.users * price
Excel as a snapshot
.to_excel() walks the MultiVariable tree and writes a workbook where every Variable is a cell, every formula is =A1*B2, every cross-sheet reference is =Sheet!Cell.
Standard library functions emit live formulas, not values:
mo.IRR(cf) # =IRR(B2:F2, 0.1)
mo.NPV(0.1, cf) # =NPV(0.1, B2:F2)
mo.IF(rev > 0, rev * 0.25, 0) # =IF(B1>0, B1*0.25, 0)
mo.EOMONTH(start, 1) # =EOMONTH(B1, 1)
License
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file modeleon-0.1.2.tar.gz.
File metadata
- Download URL: modeleon-0.1.2.tar.gz
- Upload date:
- Size: 128.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c2c1abfba8285f44a11d14d80e7cc062feef6825d885222889a799a2d78a42b1
|
|
| MD5 |
2c0a4c034298d63bef980b8fc79699ac
|
|
| BLAKE2b-256 |
57f5aba4bebde691939aa2a1563e52fcd25a8fd27874823a7aa8ae411d534c3c
|
Provenance
The following attestation bundles were made for modeleon-0.1.2.tar.gz:
Publisher:
publish.yml on modeleonai/modeleon
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
modeleon-0.1.2.tar.gz -
Subject digest:
c2c1abfba8285f44a11d14d80e7cc062feef6825d885222889a799a2d78a42b1 - Sigstore transparency entry: 1392961911
- Sigstore integration time:
-
Permalink:
modeleonai/modeleon@9cfb80463badc93713b856a0b45388ae151830ed -
Branch / Tag:
refs/tags/v0.1.2 - Owner: https://github.com/modeleonai
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@9cfb80463badc93713b856a0b45388ae151830ed -
Trigger Event:
release
-
Statement type:
File details
Details for the file modeleon-0.1.2-py3-none-any.whl.
File metadata
- Download URL: modeleon-0.1.2-py3-none-any.whl
- Upload date:
- Size: 113.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9ffadb61e357ce81ad0ab6140397e7ba8ac6552a05aabd6791285bb12fbfe0a8
|
|
| MD5 |
a18e79ec12ddcfb9c2099f60555cc6e1
|
|
| BLAKE2b-256 |
7f5327ff6ac3497d1503b55045ef7256bd92cca4aff9e1ee88cb20329e9ca87c
|
Provenance
The following attestation bundles were made for modeleon-0.1.2-py3-none-any.whl:
Publisher:
publish.yml on modeleonai/modeleon
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
modeleon-0.1.2-py3-none-any.whl -
Subject digest:
9ffadb61e357ce81ad0ab6140397e7ba8ac6552a05aabd6791285bb12fbfe0a8 - Sigstore transparency entry: 1392961932
- Sigstore integration time:
-
Permalink:
modeleonai/modeleon@9cfb80463badc93713b856a0b45388ae151830ed -
Branch / Tag:
refs/tags/v0.1.2 - Owner: https://github.com/modeleonai
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@9cfb80463badc93713b856a0b45388ae151830ed -
Trigger Event:
release
-
Statement type: