# glato/emerge

Emerge is a browser-based interactive codebase and dependency visualization tool for many different programming languages. It supports some basic code quality and graph metrics and provides a simple and intuitive way to explore and analyze a codebase by using graph structures.

Repository: https://github.com/glato/emerge
Canonical: https://ross.abutalabs.com/products/emerge
Language: Python
License: MIT
License Family: permissive
Topics: visualization, graph-visualization, dependency-graph, source-code-analysis, code-visualization, android-dependency-visualizer, dependency-visualizer, code-metrics, data-visualization, sourcegraph, c, golang, java, javascript, kotlin, python, ruby, swift, typescript
Last push: 2026-08-07T17:08:08+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 8, longevity 100
- inputs: {"age_days": 2183, "days_push": 26, "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 1139, forks 84 (observed 2026-08-28T04:03:44.130631+00:00)

## What it is
Emerge is a browser-based interactive tool that scans source code across many languages and visualizes codebase structure, dependencies, and metrics as interactive force-directed graphs. It computes code quality and graph metrics and clusters entities using Louvain modularity.

## Use cases
- visualize dependencies of a large codebase
- analyze code structure and complexity of a project
- generate an interactive dependency graph for a multi-language repo
- calculate code metrics and statistics for source code
- explore and understand an unfamiliar codebase visually
- detect clustering and modularity in software architecture

## When to choose
- you want an interactive, exploratory visual map of a codebase's structure and dependencies
- your project spans multiple languages like Java, Python, Go, Swift, or TypeScript
- you need basic code metrics and graph-based clustering insights without heavy setup

## When to avoid
- you need deep static analysis, refactoring, or IDE-integrated code intelligence
- you require CI-gated code quality enforcement rather than exploratory visualization
- your language is not among the supported parsers (e.g. Rust, C#, PHP)

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, developer-tools, parser
- domain: developer-tools, data-visualization, parsers
- platform: browser, python, cli
- tags: code-analysis, dependency-graph, code-metrics, static-analysis, graph-visualization, code-structure, macos, linux

## Member repositories
- glato/emerge (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.130631+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 2026-08-30T06:35:52.077062+00:00, confidence not recorded.
  - readme: https://github.com/glato/emerge (fetched 2026-08-28T04:03:44.130631+00:00, sha 981585a82519)
- Data as of 2026-08-30T08:39:29.467469+00:00.