# connorferster/handcalcs

Python library for converting Python calculations into rendered latex.

Repository: https://github.com/connorferster/handcalcs
Canonical: https://ross.abutalabs.com/products/handcalcs
Language: CSS
License: Apache-2.0
License Family: permissive
Last push: 2026-08-21T16:05:13+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 55, longevity 100
- inputs: {"age_days": 2388, "days_push": 12, "days_rel": 222, "gap_med": 40.0, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5804, forks 451 (observed 2026-08-28T04:09:29.789507+00:00)

## What it is
handcalcs is a Python library that renders Python calculation code as LaTeX in a hand-written style, showing symbolic formulas, numeric substitutions, and results. It works primarily in Jupyter notebooks via cell magic and decorators.

## Use cases
- render python calculations as latex in jupyter
- show symbolic formula with numeric substitution for verification
- create hand-written style engineering calculation notebooks
- export jupyter calculations to pdf without code
- document engineering calculations for review

## When to choose
- you do engineering or scientific calculations in Jupyter and want auditable, hand-checkable output
- you want LaTeX rendering of formulas without writing LaTeX manually

## When to avoid
- you need a general-purpose symbolic math engine like SymPy
- you are not working in Jupyter or LaTeX-oriented workflows

## Facets
- artifact type: library
- maturity: active
- function: templating, documentation, developer-tools
- domain: education, data-science, documentation
- platform: python
- tags: latex, jupyter, engineering-calculations, notebook, math-rendering, engineering

## Member repositories
- connorferster/handcalcs (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.789507+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:52:45.054947+00:00, confidence not recorded.
  - readme: https://github.com/connorferster/handcalcs (fetched 2026-08-28T04:09:29.789507+00:00, sha 17706e713b8a)
- Data as of 2026-08-30T08:39:29.467469+00:00.