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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
- !Pre-1.0: API may have breaking changes
- ✓Tiny footprint (16KB, 3 deps)
- ✓Permissive license (MIT)
Security
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Downloads
278
Dependents
0
Releases
7
Size
16KB
Deep Insights
📉
Download decline
16 downloads in the last 30 days, down 27% from the previous period. May indicate migration to alternatives.
🪶
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 16/25
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
0/day avg
Version Adoption
v0.0.7
30%
v0.0.2
24%
v0.0.1
19%
v0.0.4
13%
v0.0.5
13%
Release Timeline
7 releasessince 2025
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README
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Maintainers
Dependencies
3
direct dependencies
Dependents
0
crates depend on deep_causality_effects