# TheRealMJP/Shadows

A sample app that demonstrates several techniques for rendering real-time shadow maps

Repository: https://github.com/TheRealMJP/Shadows
Canonical: https://ross.abutalabs.com/products/shadows
Language: C++
License: MIT
License Family: permissive
Last push: 2026-06-07T19:33:57+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 8, longevity 100
- inputs: {"age_days": 3874, "days_push": 87, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1035, forks 81 (observed 2026-08-28T04:03:18.940474+00:00)

## What it is
A D3D11 sample application demonstrating multiple real-time shadow map rendering techniques, including cascaded shadow maps, variance shadow maps, and moment shadow maps. It accompanies blog articles and serves as educational reference code for graphics programmers.

## Use cases
- learn how to implement cascaded shadow maps
- compare shadow filtering techniques like PCF and EVSM
- reference code for real-time shadow rendering in D3D11
- study sample distribution shadow maps
- understand variance and moment shadow map algorithms

## When to choose
- you want working reference implementations of multiple shadow map techniques
- you're learning real-time rendering with Direct3D 11
- you need to compare shadow filtering quality and performance

## When to avoid
- you need a production-ready rendering engine or library
- you target platforms other than Windows
- you need OpenGL, Vulkan, or modern API examples

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: graphics, simulation
- domain: graphics, tutorials
- platform: windows, cpp
- tags: shadow-maps, d3d11, real-time-rendering, cascaded-shadow-maps, sample-app, game-development

## Member repositories
- TheRealMJP/Shadows (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.940474+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 2026-08-30T07:04:45.007552+00:00, confidence not recorded.
  - readme: https://github.com/TheRealMJP/Shadows (fetched 2026-08-28T04:03:18.940474+00:00, sha f48a2f133fb4)
- Data as of 2026-08-30T08:39:29.467469+00:00.