# johnil/VVeboTableViewDemo

VVebo剥离的TableView绘制

Repository: https://github.com/johnil/VVeboTableViewDemo
Canonical: https://ross.abutalabs.com/products/vvebotableviewdemo
Language: Objective-C
License Family: other
Last push: 2020-01-04T11:38:15+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4118, "days_push": 2433, "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 2789, forks 495 (observed 2026-08-28T04:07:22.010104+00:00)

## What it is
A demo extracted from the VVebo iOS app showing techniques for smooth UITableView scrolling, including asynchronous rendering of cell content into images and velocity-based on-demand loading. It is an Objective-C reference implementation for iOS table view fluency optimization.

## Use cases
- optimize uitableview scrolling performance in ios
- render table cells asynchronously to images
- reduce cell view hierarchy for smooth scrolling
- load content based on scroll velocity
- learn tableview fluency optimization techniques

## When to choose
- building an Objective-C iOS app with complex table cells that jank while scrolling
- studying classic iOS async cell rendering techniques

## When to avoid
- building in Swift with modern APIs like UICollectionViewCompositionalLayout
- needing a maintained production library - it is a demo with no license and no recent updates

## Facets
- artifact type: library
- maturity: maintenance
- function: ui-components, image-processing, developer-tools
- domain: mobile-development, performance, frontend
- platform: -
- tags: uitableview, objective-c, scrolling-performance, async-rendering, cell-optimization, ios, mobile

## Member repositories
- johnil/VVeboTableViewDemo (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:22.010104+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 2026-08-30T08:15:30.124736+00:00, confidence not recorded.
  - readme: https://github.com/johnil/VVeboTableViewDemo (fetched 2026-08-28T04:07:22.010104+00:00, sha d1d988d9a403)
- Data as of 2026-08-30T08:39:29.467469+00:00.