ffsvm

Library Listed Dormant

A libSVM compatible support vector machine, but up to 10x faster, for games or VR.

Checked · Sources

Downloads
1,282
Dependents
1
Stars
79
Forks
11
Contributors
2
Commits
345
Latest release
0.12.0 ·

About

From the project README ·

In One Sentence

You trained an SVM using libSVM, now you want the highest possible performance during (real-time) classification, like games or VR.

Highlights

  • loads almost all libSVM types (C-SVC, ν-SVC, ε-SVR, ν-SVR) and kernels (linear, poly, RBF and sigmoid)
  • produces practically same classification results as libSVM
  • optimized for SIMD and can be mixed seamlessly with Rayon
  • written in 100% safe Rust
  • allocation-free during classification for dense SVMs
  • 2.5x - 14x faster than libSVM for dense SVMs
  • extremely low classification times for small models (e.g., 128 SV, 16 dense attributes, linear ~ 500ns)
  • successfully used in Unity and VR projects (Windows & Android)

Usage

Train with libSVM (e.g., using the tool svm-train), then classify with ffsvm-rust.

From Rust:

// Replace `SAMPLE_MODEL` with a `&str` to your model.
let svm = DenseSVM::try_from(SAMPLE_MODEL)?;

let mut fv = FeatureVector::from(&svm);
let features = fv.features();

features[0] = 0.55838;
features[1] = -0.157895;
features[2] = 0.581292;
features[3] = -0.221184;

svm.predict_value(&mut fv)?;

assert_eq!(fv.label(), Label::Class(42));
Read the full README

Status

  • December 14, 2024: After 7+ years, finally ported to stable.🎉🎉🎉
  • March 10, 2023: Reactivated for latest Rust nightly.
  • June 7, 2019: Gave up on 'no unsafe', but gained runtime SIMD selection.
  • March 10, 2019: As soon as we can move away from nightly we'll go beta.
  • Aug 5, 2018: Still in alpha, but finally on crates.io.
  • May 27, 2018: We're in alpha. Successfully used internally on Windows, Mac, Android and Linux on various machines and devices. Once SIMD stabilizes and we can cross-compile to WASM we'll move to beta.
  • December 16, 2017: We're in pre-alpha. It will probably not even work on your machine.

Performance

performance

All performance numbers reported for the DenseSVM. We also have support for SparseSVMs, which are slower for "mostly dense" models, and faster for "mostly sparse" models (and generally on the performance level of libSVM).

See here for details.

Tips
  • Compile your project with target-cpu=native for a massive speed boost (e.g., check our .cargo/config.toml how you can easily do that for your project). Note, due to how Rust works, this is only used for application (or dynamic FFI libraries), not library crates wrapping us.
  • For an x-fold performance increase, create a number of Problem structures, and process them with Rayon's par_iter.

FAQ

See here for details.

Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
None found
  • No native code found
Python bindings
No Python binding crate found
License
MIT

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

ffsvm beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
ffsvm This page Listed Dormant

A libSVM compatible support vector machine, but up to 10x faster, for games or VR.

1,282 downloads over 30 days 1 79 0.12.0 GPU support unknown No native code found MIT
linfa Featured

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smartcore Featured

Machine Learning in Rust.

39,473 downloads over 30 days 33 976 0.7.0 GPU support unknown No native code found Apache-2.0
leiden-rs Listed

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41,983 downloads over 30 days 10 Not measured 0.8.1 GPU support unknown No native code found Apache-2.0 OR MIT
rustlearn Listed Dormant

A machine learning package for Rust.

578 downloads over 30 days 2 647 0.5.0 GPU support unknown Binds native code: libsvm Apache-2.0

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treeboost Listed

Gradient-boosted decision trees for tabular data: trains a baseline model in one call, with full control over boosting modes and configs, and Scalar, AVX-512, SVE2, WGPU and CUDA backends.

Python bindings

18 downloads over 30 days 0 9 0.1.2 CUDA, WebGPU No native code found Apache-2.0
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • It has 1 active dependents and 0 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days. The repository route reads 79 stars, 11 forks and 2 contributors. It needs 4,539 stars, 434 forks and 79 contributors together.
  • The project is dormant and not finished. Dormancy rule

What else the check found

  • The last activity is on 14 Dec 2024, 695 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule

Not measured: Latest release fails cargo check.

Exact rules: Listed, Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 0.12.0 base 140, raised to the 365-day floor: E = 365 days
  • dormancy: last activity 2024-12-14, 695 days ago, E = 365: dormant
  • featured: not featured: active_users 1 < 11 and new_adopters 0 < 9 and repository route stars 79 (needs 4539), forks 11 (needs 434), contributors 2 (needs 79); dormant and not stable
  • listed: listed: no archive, new or featured rule applies

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption1 active dependents, 0 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents1crates.io database dumpYes
New dependents (365 days)0crates.io database dumpYes
Peak active dependents1crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 23 months ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2024-12-14GitHub repositoryYes
Latest release2024-12-14crates.io database dumpYes
First release2018-08-05crates.io database dumpYes
Latest version0.12.0crates.io database dumpYes
Days the oldest outside issue waits for a reply0GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementnonecrates.io database dumpYes
Distribution17 releases, 1,282 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases17crates.io database dumpYes
Downloads over 30 days1282crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository79 stars, 11 forks, 2 contributors, 345 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars79GitHub repositoryYes — one part of the repository route
GitHub forks11GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account2GitHub contributorsYes — one part of the repository route
Commits on the default branch345GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseMITcrates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesNo native code foundcrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly1crates.io database dumpNo

Corrections and review history

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Judgments

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