STAGATE vs GraphST
STAGATE: Graph attention autoencoder for spatial domain identification. GraphST: Graph self-supervised contrastive learning for spatial transcriptomics.
Facts below come from each project's own website, repository and paper. We don't publish benchmark claims here; see the papers for evaluations. Shared tags: domains.
| Field | STAGATE | GraphST |
|---|---|---|
| Platforms supported | — | Multiple technology platforms |
| Resolution | Spot | Spot |
| Tasks | Spatial domains | Clustering, integration, deconvolution |
| License | MIT | AGPL-3.0 |
| Pricing | Open source | Open source |
| Released | 2021-08-23 | 2022-07-28 |
| Paper | Link | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 55 | 165 |
| Interface | — | — |
License and commercial use
| Field | STAGATE | GraphST |
|---|---|---|
| Code license | MIT | AGPL-3.0 |
| Weights license | — | — |
| Commercial use | Permissive (commercial OK) | Copyleft (commercial OK, share-alike) |
| Answer | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details | Yes, with conditions. It is under AGPL: if you modify it and distribute it or run it as a network service, you must release your source under the same license. Details |
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