50
ghost-flow
v1.7.0 ExperimentalComplete machine learning framework in Rust - tensors, neural networks, 85+ ML algorithms, GPU acceleration, WASM, FFI, model serving, compiler optimizations, distributed training, and 8 hardware accelerators - all included by default
MIT OR Apache-2.0 Edition 2021
Quick Verdict
- โActively maintained (updated 67d ago)
- โPermissive license (MIT OR Apache-2.0)
Security
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Downloads
141
Dependents
0
Releases
8
Size
23KB
Deep Insights
๐
Strong growth momentum
12 downloads in the last 30 days (0/day), up 33% from the previous period.
๐
Compact crate
At 23KB, ghost-flow is lightweight. Small crate size correlates with focused, well-scoped functionality.
Health Breakdown
Maintenance 9/25
Recency, release consistency, active ratio
Quality 19/25
Yanked ratio, deps, size, maturity, features
Community 6/20
Reverse deps, ownership, ecosystem
Popularity 3/15
Downloads, momentum, growth trend
Documentation 13/15
Docs, repo, license, metadata
Download Trend
Daily downloads ยท last 90 days
2/day avg-93%
Version Adoption
v1.7.0
24%
v1.1.0
20%
v0.3.0
19%
v0.4.0
19%
v0.5.0
19%
Release Timeline
8 releasessince 2026
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2026
8
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Feature Flags
default =["nn", "ml", "autograd", "optim", "data", "simd", "cuda", "ffi", "wasm", "serve"]
ml*nn*ffi*cuda*data*fullsimd*wasm*optim*serve*autograd*
README
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Maintainers
Dependencies
10
direct dependencies
Dependents
0
crates depend on ghost-flow