neuronika

Library Listed Dormant

Tensors and dynamic neural networks.

Checked · Sources

Downloads
6
Dependents
0
Stars
1,083
Forks
56
Contributors
2
Commits
119
Latest release
0.2.0 ·

About

From the project README ·

Neuronika Logo


Neuronika is a machine learning framework written in pure Rust, built with a focus on ease of use, fast prototyping and performance.

Add neuronika to your project

[dependencies]

neuronika = { git = "https://github.com/neuronika/neuronika" }

Dynamic neural networks and auto-differentiation

At the core of Neuronika lies a mechanism called reverse-mode automatic differentiation, that allows you to define dynamically changing neural networks with very low effort and no overhead by using a lean, fully imperative and define by run API.

The power of Rust

The Rust language allows for an intuitive, light and easy to use interface while achieving incredible performance. There's no need for a FFI, everything happens in front of your eyes.

Crate Feature Flags

  • cuda Enables gpu accelerated primitives.

You can use the following crate feature flags to configure the ndarray backend:

  • serialize Enables serialization support for serde 1.x.

  • blas Enables transparent BLAS support for matrix multiplication, which uses blas-src for pluggable backend and needs to be configured separately. See here for more informations.

  • matrixmultiply-threading Enables the threading feature in the matrixmultiply package.

Read the full README

Contributing

We appreciate and welcome all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion.

If you plan to contribute new features, utility functions, or extensions to the framework, please first open a discussion and discuss the feature with us. Sending a PR without discussion might end up resulting in a rejected PR because we might be taking the project in a different direction than you might be aware of.

To learn more about making a contribution to Neuronika, please see our contribution page.

Getting Help

First, see if the answer to your question can be found in the API documentation. If the answer is not there, please ask for help by opening a discussion with the question. We'll be glad to help you.

Project Status

Neuronika is very young and rapidly evolving, we are continuously developing the project and breaking changes are expected during transitions from version to version. We adopt the newest stable Rust's features if we need them.

License

Dual-licensed to be compatible with the Rust project.

Licensed under the Apache License, Version 2.0 or the MIT license, at your option. This file may not be copied, modified, or distributed except according to those terms.

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
MPL-2.0

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.

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

Tensors and dynamic neural networks.

6 downloads over 30 days 0 1,083 0.2.0 GPU support unknown No native code found MPL-2.0
burn Featured

Flexible and Comprehensive Deep Learning Framework in Rust

Also in Tensors and GPU compute.

521,465 downloads over 30 days 391 16,257 0.22.1 CUDA, WebGPU, Metal, ROCm, Vulkan Binds native code: netlink-sys (feature iroh), nvml-wrapper-sys (feature sys-metrics), torch-sys (feature tch) Apache-2.0 OR MIT
boostr Listed

ML framework on numr for training and inference on CPU, CUDA and WebGPU: attention, quantization, inference scheduling and distributed execution. Models include LLaMA, Mamba2, Qwen3.5, Whisper, Kokoro, VITS, VoxCPM2, Silero VAD, CLAP and super-resolution. Loads SafeTensors and GGUF.

Also in Tensors and GPU compute.

1,265 downloads over 30 days 7 20 0.11.2 CUDA, WebGPU Binds native code: ring (feature distributed) Apache-2.0

Tensors and differentiable operations in Rust

Also in Tensors and GPU compute.

121 downloads over 30 days 0 504 1.1.1 GPU support unknown Binds native code: intel-mkl-src (feature mkl) MIT
rustyml Listed

Machine learning models, neural networks, metrics, and data utilities in Rust

Also in Train models.

59 downloads over 30 days 0 345 0.17.0 GPU support unknown No native code found MIT
hal Listed Dormant

HAL: a machine learning library that is able to run on Nvidia, OpenCL or CPU BLAS based compute backends. It currently provides stackable classical neural networks, RNN's and soon to be LSTM's.

Also in Train models.

2 downloads over 30 days 0 92 0.2.0 GPU support unknown No native code found BSD-3-Clause
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • It has 0 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 1,083 stars, 56 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 10 Oct 2022, 1491 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule
  • The oldest outside issue waits 1462 days for a reply, past the limit of 270. No maintainer replied in 365 days. Rot signals 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 0.2.0 base 80, capped at 1 releases = 50, raised to the 365-day floor: E = 365 days
  • dormancy: last activity 2022-10-10, 1491 days ago, E = 365: dormant
  • rot: oldest unanswered issue 1462 days (limit 270), no maintainer reply in 365 days
  • featured: not featured: active_users 0 < 11 and new_adopters 0 < 9 and repository route stars 1083 (needs 4539), forks 56 (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
Adoption0 active dependents, 0 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents0crates.io database dumpYes
New dependents (365 days)0crates.io database dumpYes
Peak active dependents0crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 4 years ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2022-10-10GitHub repositoryYes
Latest release2022-01-01crates.io database dumpYes
First release2022-01-01crates.io database dumpYes
Latest version0.2.0crates.io database dumpYes
Days the oldest outside issue waits for a reply1462GitHub 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
Distribution1 releases, 6 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases1crates.io database dumpYes
Downloads over 30 days6crates.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
Repository1,083 stars, 56 forks, 2 contributors, 119 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars1083GitHub repositoryYes — one part of the repository route
GitHub forks56GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account2GitHub contributorsYes — one part of the repository route
Commits on the default branch119GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseMPL-2.0crates.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 directly0crates.io database dumpNo

Corrections and review history

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Judgments

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