# kavan010/black_hole

Black hole simulation project:

Repository: https://github.com/kavan010/black_hole
Canonical: https://ross.abutalabs.com/products/black_hole
Language: C++
License Family: other
Last push: 2026-04-07T19:08:29+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 76, release rhythm 35, longevity 38
- inputs: {"age_days": 539, "days_push": 148, "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 2588, forks 402 (observed 2026-08-28T04:07:02.792190+00:00)

## What it is
A C++ black hole simulation that uses ray tracing and GPU compute shaders to render gravitational lensing, accretion disks, and spacetime curvature grids. It includes both 2D lensing and 3D real-time rendering via OpenGL compute shaders.

## Use cases
- simulate gravitational lensing of a black hole
- render an accretion disk with ray tracing
- visualize spacetime curvature around a black hole
- learn GPU compute shader programming in C++
- real-time black hole rendering demo

## When to choose
- you want a visual, educational black hole simulation with lensing effects
- you want to study ray-traced gravitational lensing implementation in C++/OpenGL
- you want a GPU compute shader example for physics rendering

## When to avoid
- you need a scientifically validated general relativity solver
- you need a cross-platform-guaranteed application (only tested on Windows)
- you need production graphics software with a license and long-term support

## Facets
- artifact type: application
- maturity: active
- function: simulation, graphics, image-processing
- domain: simulation, graphics, computer-vision
- platform: cpp, windows, cross-platform
- tags: black-hole, ray-tracing, gravitational-lensing, opengl, compute-shader, physics-simulation, accretion-disk, spacetime, physics, gpu

## Member repositories
- kavan010/black_hole (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:02.792190+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 2026-08-30T02:22:23.913159+00:00, confidence not recorded.
  - readme: https://github.com/kavan010/black_hole (fetched 2026-08-28T04:07:02.792190+00:00, sha 76fde24d01fe)
- Data as of 2026-08-30T08:39:29.467469+00:00.