By the Numbers

A live snapshot of the library — how much it covers, where it’s deep, and (just as usefully) where it’s thin. The gaps are not hidden: sparse species pages and short coverage bars are the clearest places to contribute. All figures are regenerated from the canonical Markdown on every build.

303Papers

139Software tools

147Databases

205Datasets

14Talks

Research coverage

The matrix maps 25 AI methods against 7 research areas — 64 of 175 cells (36.6%) carry at least one paper. Where the bars are short, the field (and this library) is still thin.

Media Optimization 23

Cellular Engineering 33

Bioprocess & Scale-Up 29

Scaffolding 8

Sensory Prediction 23

AI Tooling / Methodology 66

AI Evaluation & Benchmarking 22

Most-used methods

Deep Learning 25

Benchmarks & Evaluation Frameworks 22

Ensemble Learning 20

Domain-Specific Biomedical Agents 17

Bayesian Optimization 12

CNN 12

Genetic Algorithms 11

SVM 11

GNN 10

Scientific Literature & Discovery Agents 10

Datasets by species — where help is wanted

205 catalogued datasets across 17 pages — 164 per-species inventory rows, 24 on the reference pages, 17 benchmark datasets. Every species page now has at least one catalogued deposit. The counts below show where coverage is thinnest (Goat, Turkey, Duck carry the fewest), the best place to deepen the library. See Contributing to add a deposit.

Cow 34

Fish 32

Pig 27

Crustacean 21

Chicken 14

Mollusk 14

Sheep 6

Duck 4

Turkey 3

Goat 2

Momentum

1dsince newest paper added

15Papers.md commits · 30 days

6dsince newest dataset added

14Datasets commits · 30 days