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ghost-flow

v1.7.0 Experimental

Complete 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
AlgorithmsScience #neural-network#machine-learning#tensor#deep-learning#ml

Quick Verdict

  • โœ“Actively maintained (updated 67d ago)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
141
Dependents
0
Releases
8
Size
23KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

12 downloads in the last 30 days (0/day), up 33% from the previous period.

๐Ÿ“
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%
0510152012/291/162/32/213/113/28

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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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

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