# danbev/learning-v8

Project for learning V8 internals

Repository: https://github.com/danbev/learning-v8
Canonical: https://ross.abutalabs.com/products/learning-v8
Language: C++
License Family: other
Last push: 2024-11-15T15:58:42+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": 3777, "days_push": 656, "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 2739, forks 243 (observed 2026-08-28T04:07:16.434433+00:00)

## What it is
A collection of notes, examples, and C++ code for learning the internals of Google's V8 JavaScript engine. It covers topics like isolates, heaps, templates, the compiler pipeline, Torque, WebAssembly, and building/debugging V8.

## Use cases
- learn how the V8 JavaScript engine works internally
- understand V8 concepts like isolates, contexts, and handles
- study the V8 compiler pipeline and CodeStubAssembler
- get started building and debugging V8 from source
- learn how to embed V8 using ObjectTemplate and FunctionTemplate
- understand V8 memory management and the heap

## When to choose
- you want to deeply understand V8 internals with practical C++ examples
- you are preparing to contribute to V8 or embed it in a project
- you prefer learning from annotated notes and runnable code

## When to avoid
- you need a production-ready V8 binding or embedding library
- you want a polished tutorial or official documentation rather than personal study notes
- you need a maintained software tool rather than educational material

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: programming-languages, compilers, developer-tools, tutorials
- platform: cpp, windows
- tags: v8, javascript-engine, internals, notes, study-material, linux, macos

## Member repositories
- danbev/learning-v8 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:16.434433+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 2026-08-30T08:19:11.940874+00:00, confidence not recorded.
  - readme: https://github.com/danbev/learning-v8 (fetched 2026-08-28T04:07:16.434433+00:00, sha d8aa79d11568)
- Data as of 2026-08-30T08:39:29.467469+00:00.