← All research data

SeqDesk · original analysis

Which sequencing pipelines are used — nf-core & Snakemake

A curated cohort of nf-core (Nextflow) and Snakemake workflows, each tracked by its live GitHub usage, alongside the citation adoption curves of the workflow technologies themselves (Nextflow, Snakemake, Galaxy, Toil, CWL, Bpipe). Counts and usage come from the nf-core and GitHub APIs; citation histories from the OpenAlex graph. Re-counted weekly.

1.4K
most used · nf-core/rnaseq
156
nf-core pipelines
822
Snakemake repos
Nextflow
leads adoption · 4.4K cites
09491.9K2.8K3.8K2012201420162018202020222024citing-paper publication year1234567NextflowGalaxynf-coreSnakemakeToilBpipeCWL

Each line is the cumulative citations of a workflow technology’s paper — an adoption proxy that, unlike GitHub stars, runs back over a decade. Numbered pins mark when each engine’s paper was published (keyed to the list below). Nextflow now leads with 4,401 citations and nf-core is rising fastest (+2.8K in the last three years), while Galaxy — long among the most-cited engines — has plateaued on this citation measure. nf-core is dashed because it is a curated framework layered on Nextflow rather than a standalone engine. The current year (2026) is still accruing citations and is excluded. Hover a line or legend chip to isolate it.

The workflow-engine papers behind the curves
  • 12010Galaxyworkflow engine, 3,560 citations · paper
  • 22012Snakemakeworkflow engine, 3,207 citations · paper
  • 32012Bpipeworkflow engine, 182 citations · paper
  • 42017Nextflowworkflow engine, 4,401 citations · paper
  • 52017Toilworkflow engine, 1,476 citations · paper
  • 62020nf-corecurated framework on Nextflow, 4,319 citations · paper
  • 72022CWLworkflow engine, 191 citations · paper
370
grenepipe Variant calling
120
benchpress Benchmarking
84
tibanna Cloud execution
73
snakemake-econ-r Reproducible research
64
pypsa-fes Energy modelling
32
MeSS Metagenomics (simulation)
32
LyRic Long-read RNA-seq
23
amoebae Comparative genomics
21

Each bar is a pipeline’s GitHub stargazers — the one usage signal available for every workflow in both ecosystems. nf-core lists 156 pipelines and the Snakemake catalogue draws on 822 tagged repositories; this board profiles the 25 most prominent. Stars approximate visibility, not the number of pipeline runs.

Galaxy
757 workflows
Nextflow
195 workflows
CWL
116 workflows
COMPSs
72 workflows
Snakemake
67 workflows

How many registered workflows each engine carries, counted comparably on WorkflowHub (2026-09) — the one registry that indexes workflows of every type. This is why the engines above have no GitHub-stars leaderboard: unlike nf-core and Snakemake, whose pipelines are individual starred GitHub repositories, Galaxy and CWL pipelines are registered as WorkflowHub workflows. Galaxy dominates here because its community registers on WorkflowHub, while most nf-core pipelines live on nf-co.re — so these counts reflect registration habits, not total ecosystem size.

TechnologyEngine familyPaperLifetime citationsPeak year
NextflowNextflow20174,4012024 (1.1K/yr)
nf-coreNextflow (framework)20204,3192025 (1.3K/yr)
GalaxyGalaxy20103,5602016 (458/yr)
SnakemakeSnakemake20123,2072021 (587/yr)
ToilToil20171,4762023 (284/yr)
CWLCWL20221912024 (48/yr)
BpipeBpipe20121822017 (26/yr)
Usage metricGitHub stargazers (and forks) per pipeline — the cross-ecosystem usage proxy
Adoption metricCumulative OpenAlex citations of each workflow-engine paper, per year (counts_by_year)
Registry counts156 nf-core pipelines (nf-co.re) · 822 Snakemake-tagged repos · WorkflowHub by type
Update cadenceWeekly automated re-count · latest snapshot 2026-09-07
CaveatStars ≈ visibility, not runs; citations include all fields citing each engine, not only sequencing use
Methodscripts/check-pipeline-trends.mjs
PipelineEcosystemDomainStarsForksCitations
rna-seq-star-deseq2SnakemakeRNA-seq370213
grenepipeSnakemakeVariant calling12026
benchpressSnakemakeBenchmarking8422
tibannaSnakemakeCloud execution7329
snakemake-econ-rSnakemakeReproducible research6414
pypsa-fesSnakemakeEnergy modelling323
MeSSSnakemakeMetagenomics (simulation)323
LyRicSnakemakeLong-read RNA-seq236
amoebaeSnakemakeComparative genomics212

The pipeline counterpart to the tool-trends card: not which method paper wins by citations, but which end-to-end workflow the community runs and which engine it is adopting — re-counted weekly from the nf-core, GitHub, OpenAlex and WorkflowHub APIs. Only aggregate counts are published. · back to all research data

Report errorpmu15@helmholtz-hzi.de