53
deep_causality_effects
v0.0.7 ExperimentalEffect types for deep_causality heterogeneous graphs and causal collections.
MIT Edition 2024 MSRV 1.90.0
#effects#heterogeneous#causality
Quick Verdict
- ✓Actively maintained (updated 16d ago)
- !Pre-1.0: API may have breaking changes
- ✓Tiny footprint (16KB, 3 deps)
- ✓Permissive license (MIT)
Security
Checking security advisories...
Downloads
214
Dependents
0
Releases
7
Size
16KB
Deep Insights
📈
Strong growth momentum
35 downloads in the last 30 days (1/day), up 59% from the previous period.
🪶
Minimal dependencies
Only 3 direct dependencies. Lean dependency tree means faster builds and lower supply chain risk.
📐
Compact crate
At 16KB, deep_causality_effects is lightweight. Small crate size correlates with focused, well-scoped functionality.
Health Breakdown
Maintenance 21/25
Recency, release consistency, active ratio
Quality 14/25
Yanked ratio, deps, size, maturity, features
Community 3/20
Reverse deps, ownership, ecosystem
Popularity 3/15
Downloads, momentum, growth trend
Documentation 12/15
Docs, repo, license, metadata
Download Trend
Daily downloads · last 90 days
2/day avg-71%
Version Adoption
v0.0.2
31%
v0.0.1
24%
v0.0.4
16%
v0.0.5
16%
v0.0.6
13%
Release Timeline
7 releasessince 2025
J
F
M
A
M
J
J
A
S
O
N
D
2025
3
2026
4
LessMore
README
Loading README...
Maintainers
Dependencies
3
direct dependencies
Dependents
0
crates depend on deep_causality_effects