Decision Workspace
stateset-rl-core vs rl4burn vs rlox-nn
Side-by-side comparison of Rust crates
38
stateset-rl-core
experimentalv0.1.0
High-performance Rust core for reinforcement learning - GAE, advantage computation, reward normalization with optional Python bindings
46
rl4burn
experimentalv0.1.1
Reinforcement learning algorithms for the Burn ML framework
45
rlox-nn
experimentalv0.1.0
Backend-agnostic neural network traits for rlox
Core Metrics
| stateset-rl-core | rl4burn | rlox-nn | |
|---|---|---|---|
| Health Score | 38 | 46 | 45 |
| Total Downloads | 29 | 50 | 23 |
| 30d Downloads | 3 | 50 | 23 |
| Dependents | 0 | 0 | 2 |
| Releases | 1 | 2 | 1 |
| Last Updated | 107d ago | 10d ago | 12d ago |
| Age | 3m | 10d | 12d |
Health Breakdown
stateset-rl-core
Maintenance
7
Quality
12
Community
6
Popularity
2
Documentation
11
rl4burn
Maintenance
13
Quality
15
Community
6
Popularity
2
Documentation
10
rlox-nn
Maintenance
12
Quality
14
Community
7
Popularity
2
Documentation
10
Technical Details
| stateset-rl-core | rl4burn | rlox-nn | |
|---|---|---|---|
| Version | 0.1.0 | 0.1.1 | 0.1.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | BUSL-1.1 | MIT | MIT OR Apache-2.0 |
| Dependencies | 10 | 7 | 1 |
| Crate Size | 15KB | 183KB | 7KB |
| Features | 0 | 5 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | — | — | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •rl4burn leads with a health score of 46/100, but none of the options score above 80.