# GATEOverflow/GO-PDFs

PDFs made from GATE Overflow site

Repository: https://github.com/GATEOverflow/GO-PDFs
Canonical: https://ross.abutalabs.com/products/go-pdfs
Language: Python
License Family: other
Last push: 2026-05-27T19:27:30+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 8, longevity 100
- inputs: {"age_days": 2122, "days_push": 98, "days_rel": 457, "gap_med": 231, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1308, forks 200 (observed 2026-08-28T04:04:19.299278+00:00)

## What it is
A repository of generated PDF books compiled from the GATE Overflow Q&A site, covering GATE CSE, TIFR, UGC NET, ISRO, NIELIT, and aptitude questions. It also contains MLCFlow-based automation scripts that convert the site's HTML content into multi-volume PDFs using wkhtmltopdf.

## Use cases
- download GATE CSE previous year question PDFs
- generate PDF books from Q2A site content
- prepare for UGC NET computer science exam
- get ISRO CSE exam question bank as PDF
- automate HTML to PDF book generation
- study aptitude questions offline

## When to choose
- you need offline PDF study material for GATE CSE or similar CS exams
- you want to reproduce or extend the HTML-to-PDF generation pipeline with MLCFlow

## When to avoid
- you need a general-purpose PDF library for your own application
- you want interactive online practice rather than static PDFs
- you need exam material outside the covered CS exams

## Facets
- artifact type: dataset
- maturity: active
- function: pdf, documentation, developer-tools
- domain: education, pdf, developer-tools
- platform: python, cli
- tags: pdf-generation, exam-preparation, gate-cse, wkhtmltopdf, html-to-pdf, question-bank, mlcflow, study-material, linux

## Member repositories
- GATEOverflow/GO-PDFs (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:19.299278+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 2026-08-30T04:50:02.915100+00:00, confidence not recorded.
  - readme: https://github.com/GATEOverflow/GO-PDFs (fetched 2026-08-28T04:04:19.299278+00:00, sha de4fad8ab022)
- Data as of 2026-08-30T08:39:29.467469+00:00.