# MCG-NKU/NSFC-LaTex

Repository: https://github.com/MCG-NKU/NSFC-LaTex
Canonical: https://ross.abutalabs.com/products/nsfc-latex
Language: BibTeX Style
License Family: other
Last push: 2026-03-19T14:32:55+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 35, longevity 100
- inputs: {"age_days": 2386, "days_push": 167, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1560, forks 382 (observed 2026-08-28T04:05:03.685056+00:00)

## What it is
An open-source LaTeX template for writing National Natural Science Foundation of China (NSFC) grant proposals, converted from the official Word template. It includes writing guidance from the author's review experience and compiles on Windows, Mac, Linux, and Overleaf.

## Use cases
- write an NSFC grant proposal in LaTeX
- convert NSFC Word template to LaTeX
- prepare a NSFC young scientist fund application
- format a NSFC general program proposal
- preview NSFC proposal on Overleaf
- get tips for writing NSFC proposal sections

## When to choose
- you prefer LaTeX over Word for grant writing
- you need a community-tested NSFC proposal format
- you want built-in writing advice from a successful applicant and reviewer

## When to avoid
- you must submit in Word format
- you need exact font fidelity across platforms
- you are applying to non-NSFC funding agencies

## Facets
- artifact type: learning-resource
- maturity: active
- function: templating, documentation
- domain: documentation, education, developer-tools
- platform: cross-platform, cli
- tags: latex-template, nsfc, grant-proposals, academic-writing, chinese-research-funding

## Member repositories
- MCG-NKU/NSFC-LaTex (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.685056+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 2026-08-30T04:29:45.752355+00:00, confidence not recorded.
  - readme: https://github.com/MCG-NKU/NSFC-LaTex (fetched 2026-08-28T04:05:03.685056+00:00, sha 607ce8913272)
- Data as of 2026-08-30T08:39:29.467469+00:00.