Data●●Solid
New Causal Impact Library
Rust-powered CausalImpact port that's 10-30x faster than the R original.
Niche GemBig Brain
djwjjtw
922mo ago
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GitHub Repository
High-performance causal discovery for time series — VarLiNGAM, DirectLiNGAM, RCD in Rust. 14-50x faster than Python lingam.
4 starsRust
VarLiNGAM-rs / Causal discovery in Rust, 50x faster than Python
by edyos·Feb 20, 2026·1 point·1 comment
AI Analysis
●●SolidWizardryNiche Gem
14-50x faster Rust port of lingam, but causal discovery is a niche research domain.
Strengths
- •Native Python bindings via PyO3 with scikit-learn-style API reduces friction for adoption
- •Complete implementation of six algorithms (VarLiNGAM, DirectLiNGAM, RCD, FastICA, Scalable, Bootstrap) with validation framework
- •Solves a real pain: production-scale causal discovery bottleneck for multi-hundred-variable datasets
Weaknesses
- •Causal discovery is a specialized research domain—small addressable audience outside academia
- •No published benchmarks or reproducible comparisons against lingam on standardized datasets
Category
Target Audience
Data scientists, ML engineers, and researchers working with time series causal inference
Similar To
python-lingam · DoWhy · pgmpy
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