Decision Workspace
spikenaut-fpga vs spikenaut-backend vs neuromod
Side-by-side comparison of Rust crates
45
spikenaut-fpga
experimentalv0.1.0
SNN-to-FPGA deployment pipeline: Q8.8 fixed-point parameter export, .mem file generation, UART spike readback, and Vivado timing report parsing for neuromorphic hardware
46
spikenaut-backend
experimentalv0.1.0
TraderBackend trait and implementations for SNN signal processing: RustBackend (native), ZmqBrainBackend (Julia IPC), NeroManifoldSnapshot packet parsing
45
neuromod
experimentalv0.2.2
Reward-modulated spiking neural networks (LIF + Izhikevich + STDP + dopamine/cortisol/acetylcholine) for Spikenaut HFT and FPGA deployment
Core Metrics
| spikenaut-fpga | spikenaut-backend | neuromod | |
|---|---|---|---|
| Health Score | 45 | 46 | 45 |
| Total Downloads | 11 | 11 | 50 |
| 30d Downloads | 11 | 11 | 50 |
| Dependents | 0 | 0 | 0 |
| Releases | 1 | 1 | 4 |
| Last Updated | 4d ago | 4d ago | 4d ago |
| Age | 4d | 4d | 10d |
Health Breakdown
spikenaut-fpga
Maintenance
13
Quality
15
Community
6
Popularity
1
Documentation
10
spikenaut-backend
Maintenance
13
Quality
16
Community
6
Popularity
1
Documentation
10
neuromod
Maintenance
14
Quality
13
Community
6
Popularity
2
Documentation
10
Technical Details
| spikenaut-fpga | spikenaut-backend | neuromod | |
|---|---|---|---|
| Version | 0.1.0 | 0.1.0 | 0.2.2 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | GPL-3.0-or-later | GPL-3.0-or-later | GPL-3.0-or-later |
| Dependencies | 6 | 3 | 4 |
| Crate Size | 14KB | 12KB | 30KB |
| Features | 2 | 2 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | — | — | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •spikenaut-backend leads with a health score of 46/100, but none of the options score above 80.
- •neuromod has the most downloads (50), suggesting wider adoption.