Decision Workspace
ember-rl vs instmodel vs ncps-rust
Side-by-side comparison of Rust crates
51
ember-rl
experimentalv0.3.4
Reinforcement learning algorithm implementations (DQN, PPO, SAC) using Burn
50
instmodel
experimentalv2.1.0
Instruction-based neural network model training library using Burn
47
ncps-rust
experimentalv0.1.1
Neural Circuit Policies - Sparse RNNs inspired by C. elegans, implemented in Rust with Burn
Core Metrics
| ember-rl | instmodel | ncps-rust | |
|---|---|---|---|
| Health Score | 51 | 50 | 47 |
| Total Downloads | 97 | 213 | 33 |
| 30d Downloads | 97 | 10 | 5 |
| Dependents | 6 | 0 | 0 |
| Releases | 7 | 8 | 2 |
| Last Updated | 2d ago | 95d ago | 53d ago |
| Age | 5d | 3m | 1m |
Health Breakdown
ember-rl
Maintenance
17
Quality
14
Community
8
Popularity
2
Documentation
10
instmodel
Maintenance
15
Quality
16
Community
6
Popularity
3
Documentation
10
ncps-rust
Maintenance
11
Quality
15
Community
6
Popularity
2
Documentation
13
Technical Details
| ember-rl | instmodel | ncps-rust | |
|---|---|---|---|
| Version | 0.3.4 | 2.1.0 | 0.1.1 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✗ No |
| License | MIT OR Apache-2.0 | MIT | Apache-2.0 |
| Dependencies | 8 | 7 | 6 |
| Crate Size | 91KB | 90KB | 77KB |
| Features | 2 | 0 | 4 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | — | — | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •ember-rl leads with a health score of 51/100, but none of the options score above 80.
- •instmodel has the most downloads (213), suggesting wider adoption.
- •ember-rl, ncps-rust are pre-1.0 — API may change.