Decision Workspace
neuromod vs oxicuda-snn vs neuburn
Side-by-side comparison of Rust crates
47
neuromod
experimentalv0.4.0
A high-performance Rust SNN library for neuroscience research and pure spiking neural network library featuring LIF, Izhikevich, Hebbian, Nagumo, Lapicque and Hodgkin-Huxley dynamics.
45
oxicuda-snn
experimentalv0.4.1
Spiking Neural Network primitives for OxiCUDA — LIF, IF, Izhikevich, AdEx, Poisson neurons; surrogate gradients (sigmoid/atan/triangle/super-spike/fast-sigmoid); BPTT/STBP/SLAYER training; STDP/R-STDP/triplet plasticity; ANN→SNN conversion; rate/TTFS/phase encodings; spiking layers and reservoirs; van Rossum/Victor-Purpura metrics
42
neuburn
experimentalv0.1.0
Spiking neural network framework on top of Burn — Rust-native alternative to snntorch
Core Metrics
| neuromod | oxicuda-snn | neuburn | |
|---|---|---|---|
| Health Score | 47 | 45 | 42 |
| Total Downloads | 242 | 51 | 26 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 0 | 0 |
| Releases | 6 | 3 | 1 |
| Last Updated | 83d ago | 6d ago | 127d ago |
| Age | 3m | 18d | 4m |
Health Breakdown
neuromod
Maintenance
15
Quality
13
Community
6
Popularity
3
Documentation
10
oxicuda-snn
Maintenance
14
Quality
13
Community
6
Popularity
2
Documentation
10
neuburn
Maintenance
7
Quality
14
Community
6
Popularity
2
Documentation
13
Technical Details
| neuromod | oxicuda-snn | neuburn | |
|---|---|---|---|
| Version | 0.4.0 | 0.4.1 | 0.1.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | GPL-3.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 4 | 5 | 2 |
| Crate Size | 58KB | 281KB | 49KB |
| Features | 0 | 1 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2021 |
| MSRV | — | — | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •neuromod leads with a health score of 47/100, but none of the options score above 80.