# vgteam/vg

tools for working with genome variation graphs

Repository: https://github.com/vgteam/vg
Canonical: https://ross.abutalabs.com/products/vg
Homepage: https://biostars.org/tag/vg/
Language: C++
License: NOASSERTION
License Family: other
Topics: variation-graph, graph, genome-graph, genomics, dna
Last push: 2026-08-26T16:37:01+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 83, longevity 100
- inputs: {"age_days": 4353, "days_push": 7, "days_rel": 36, "gap_med": 41, "n_releases_24m": 22}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1333, forks 219 (observed 2026-08-28T04:04:24.792119+00:00)

## What it is
vg is a C++ toolkit for building, manipulating, and analyzing genome variation graphs (pangenome graphs). It provides succinct graph data structures, sequence alignment, genotyping, and variant calling against graphs of many genomes.

## Use cases
- build a pangenome variation graph from multiple genome sequences
- align sequencing reads to a genome graph
- call variants against a pangenome graph
- genotype structural variants using a graph
- convert between graph genome formats like GFA and GBZ
- project graph coordinates back to reference coordinates

## When to choose
- you need pangenome graph construction, alignment, or genotyping tools
- you are doing genomics research with many genomes represented as a graph
- you need stable coordinate systems across graph transformations

## When to avoid
- you only need simple linear-reference read alignment
- you need a GUI-based genome browser
- you work outside genomics and bioinformatics

## Facets
- artifact type: cli-tool
- maturity: active
- function: parser, search-engine, data-science
- domain: bioinformatics
- platform: cli
- tags: variation-graph, pangenomics, genomics, variant-calling, sequence-alignment, dna, graph-genomics, command-line, linux, macos

## Member repositories
- vgteam/vg (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.792119+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 2026-08-30T04:44:55.773097+00:00, confidence not recorded.
  - readme: https://github.com/vgteam/vg (fetched 2026-08-28T04:04:24.792119+00:00, sha 79cf474c2000)
- Data as of 2026-08-30T08:39:29.467469+00:00.