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scverse/gget

🧬 gget enables efficient querying of genomic reference databases observed · 2026-09-01

github.com/scverse/gget · homepage · Python · BSD-2-Clause (permissive) observed · 2026-09-01

Health v2 · maintenance only

92/100

  • Activity 100
  • Release rhythm 78
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 44.5
  • age_days: 1582
  • days_rel: 66
  • days_push: 2
  • n_releases_24m: 11

Full methodology

Adoption not part of the score

1195 stars · 93 forks observed · 2026-09-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

gget is a free, open-source Python package and command-line tool for efficiently querying genomic reference databases such as Ensembl, UniProt, NCBI, and AlphaFold. It consists of interoperable modules that each perform a type of database query (gene search, sequence retrieval, BLAST, enrichment analysis, ortholog lookup) in a single line of code.

Use cases

  • fetch Ensembl reference and annotation files for a species
  • search for genes by name or description and get their Ensembl IDs
  • retrieve gene and transcript metadata from an Ensembl ID
  • fetch amino acid or nucleotide sequences of genes
  • BLAST or align a sequence against reference databases
  • run enrichment analysis on a list of genes
  • find orthologs of a gene across species
  • query protein structure predictions from AlphaFold

When to choose

  • you need quick programmatic or command-line access to genomic reference databases like Ensembl, UniProt, or NCBI
  • you want one-line queries for gene info, sequences, or orthologs in Python or Jupyter
  • you need sequence alignment (BLAST/BLAT/diamond/muscle) without setting up local databases
  • you are doing transcriptomics or proteomics work and want enrichment analysis or AlphaFold structure lookups

When to avoid

  • you need a full-featured genome browser or heavy-duty local bioinformatics pipelines
  • you require offline access to genomic databases with no internet queries
  • you need a graphical interface rather than CLI or Python API
  • your work is outside genomics/proteomics and unrelated to biological reference data

Facets

library · maturity active

search-engine cli sdk data-science bioinformatics data-science developer-tools python cli cross-platform genomics ensembl uniprot alphafold blast enrichment-analysis bioinformatics transcriptomics proteomics single-cell

4 sources

Member repositories

RepositoryRoleHealth v2
scverse/ggetmain92

For agents

markdown · JSON · MCP: product_card(name="scverse/gget")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem