ViennaRNA vs EternaFold
ViennaRNA: Standard RNA secondary structure prediction and design package (RNAfold, RNAinverse). EternaFold: RNA secondary structure model trained via multitask learning on Eterna player data.
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: secondary-structure, thermodynamics.
| Field | ViennaRNA | EternaFold |
|---|---|---|
| Task | MFE, partition function, inverse folding | Secondary structure / ensemble prediction |
| Structure level (2D / 3D) | 2D | 2D |
| Input | RNA sequence | RNA sequence |
| License | permissive (ViennaRNA) | BSD-style (Stanford) |
| Pricing | Open source | Open source |
| Released | 2011-11-24 | 2020-05-30 |
| Paper | Link | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 438 | 71 |
| Interface | Package | — |
License and commercial use
| Field | ViennaRNA | EternaFold |
|---|---|---|
| Code license | permissive (ViennaRNA) | BSD-style (Stanford) |
| Weights license | — | — |
| Commercial use | Permissive (commercial OK) | Permissive (commercial OK) |
| Answer | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details |
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