delta
App Listed Dormant
An Open-Source Machine Learning Framework in Rust Δ
- Downloads
- 0
- Dependents
- Not applicable
- Stars
- 413
- Forks
- 32
- Contributors
- 11
- Commits
- 639
- Latest release
About
An open-source machine learning framework in Rust Δ.
Why Δ (Delta)?
Fast: Built with Rust, Δ is designed for high performance, making it ideal for compute-intensive machine learning tasks.
Usability: APIs are designed for simplicity, making it easy for beginners to get started while providing advanced customization options for experienced users.
Extensibility: The framework is modular, allowing users to plug in custom layers, optimizers, or preprocessing pipelines tailored to their unique needs.
Efficient and Scalable Tools: It provides highly efficient and scalable tools for machine learning tasks, supporting both small-scale experiments and large-scale production systems.
Getting Help
Are you having trouble with Delta? We want to help!
If you’d like to discuss Delta, head over to Discord and join the conversation.
Check out our docs on our website for guides, tips, and additional resources.
If you are upgrading, read the release notes to be informed about breaking changes.
Ask a question we monitor stackoverflow.com for questions tagged with
deltaml.Report bugs with Delta at https://github.com/blackportal-ai/delta/issues.
Read the full README
Reporting Issues
Delta uses GitHub’s integrated issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:
Before you log a bug, please search the issue tracker to see if someone has already reported the problem.
If the issue doesn’t already exist, create a new issue.
Please provide as much information as possible with the issue report. We like to know the Delta version, operating system, and Rust version version you’re using.
If you need to paste code or include a stack trace, use Markdown. ``` escapes before and after your text.
If possible, try to create a test case or project that replicates the problem and attach it to the issue.
Contributing
Before contributing, please read the contribution guide for useful information how to get started with Delta as well as what should be included when submitting a contribution to the project.
License
The BSD 3-Clause License.
Compatibility
- License
- BSD-3-Clause
- Crate facts
- Not measured
- Runs on, Native code and Python bindings read crates on crates.io. This entry lists no crate.
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.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
|
An Open-Source Machine Learning Framework in Rust Δ |
0 binary downloads per release | Not applicable | 413 | Not measured | Not measured | BSD-3-Clause | |
|
burn Featured
Flexible and Comprehensive Deep Learning Framework in Rust |
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 |
|
mlx-rs Featured
Unofficial rust wrapper for Apple's mlx machine learning library. |
33,398 downloads over 30 days | 36 | 389 | 0.34.0 | Metal | Binds native code: mach-sys, mlx, mlx-sys. Build uses a native toolchain: bindgen, cc, cmake | 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. |
1,265 downloads over 30 days | 7 | 20 | 0.11.2 | CUDA, WebGPU | Binds native code: ring (feature distributed) | Apache-2.0 |
|
Machine Learning Framework for Hackers |
110 downloads over 30 days | 0 | 5,539 | 0.2.1 | CUDA | No native code found | Apache-2.0 OR MIT |
|
rustyml Listed
Machine learning models, neural networks, metrics, and data utilities in Rust |
59 downloads over 30 days | 0 | 345 | 0.17.0 | GPU support unknown | No native code found | MIT |
|
rumus Listed
A native-Rust deep learning framework with explicit memory safety and hardware acceleration |
52 downloads over 30 days | 0 | 202 | 0.4.0 | WebGPU | No native code found | Apache-2.0 OR MIT |
Why ListedNo archive, New or Featured rule places it, so it is Listed.
What it lacks for Featured
- The project is dormant and not finished. Dormancy rule
What else the check found
- The last activity is on 10 Jun 2025, 517 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule
- The oldest outside issue waits 565 days for a reply, past the limit of 270. No maintainer replied in 365 days. Rot signals rule
Not measured: Unpatched vulnerabilities past the grace window, First release.
Exact rules: Listed, Featured app. The check on applied thresholds version 9.
Every rule outcome, as the check records it
expected-interval: app: E = 365 daysdormancy: last activity 2025-06-10, 517 days ago, E = 365: dormantrot: oldest unanswered issue 565 days (limit 270), no maintainer reply in 365 daysfeatured: not featured: dormant and not stablelisted: 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.
Sources4 sources
- Description: the GitHub repository description
- GitHub releases, fetched
- GitHub repository, fetched
- GitHub contributors, fetched
Adoption0 binary downloads per release4 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Active dependents | Not measured | Yes | ||
| New dependents (365 days) | Not measured | Yes | ||
| Peak active dependents | Not measured | Yes | ||
| Active dependents as a share of the peak | Not measured | Yes | ||
| Binary downloads per release | 0 | GitHub releases | Yes |
MaintenanceLatest human commit: 17 months ago7 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Latest human commit | 2025-06-10 | GitHub repository | Yes | |
| Latest release | 2025-04-16 | GitHub releases | Yes | |
| First release | Not measured | Yes | ||
| Latest version | Not measured | Yes | ||
| Days the oldest outside issue waits for a reply | 565 | GitHub repository | Yes | |
| Maintainer replies over 365 days | 0 | GitHub repository | Yes | |
| Repository archived | false | GitHub repository | Yes | |
| Repository gone | false | GitHub repository | Yes | |
| Release commit or manifest in the repo | Not measured | Yes | ||
| Published docs | Not measured | Yes | ||
| Latest release fails cargo check | Not measured | Yes | ||
| Build check date | Not measured | Yes | ||
| Build check toolchain | Not measured | Yes |
SecurityNot measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Unpatched vulnerabilities past the grace window | Not measured | Yes | ||
| RustSec unmaintained advisory | Not measured | Yes | ||
| Deprecation notice | Not measured | Yes | ||
| Deprecated requirement | Not measured | Yes |
Distribution0 binary downloads over the last 3 releases10 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Releases | Not measured | Yes | ||
| Downloads over 30 days | Not measured | Yes | ||
| Binary downloads over the last 3 releases | 0 | GitHub releases | Yes | |
| Homebrew installs on request over 365 days | Not measured | Yes | ||
| Repology repository families | Not measured | Yes | ||
| Docker pull growth over 90 days | Not measured | Yes | ||
| Docker pulls at the growth baseline | Not measured | Yes | ||
| Every version a prerelease | Not measured | Yes | ||
| Every version 0.0.x | Not measured | Yes | ||
| Every version yanked | Not measured | Yes | ||
| Crate deleted from crates.io | Not measured | Yes |
Repository413 stars, 32 forks, 11 contributors, 639 commits. Stars alone never qualify a project.1 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| GitHub stars | 413 | GitHub repository | Yes — one part of the repository route | |
| GitHub forks | 32 | GitHub repository | Yes — one part of the repository route | |
| Contributors with a GitHub account | 11 | GitHub contributors | Yes — one part of the repository route | |
| Commits on the default branch | 639 | GitHub repository | No | |
| Repository's main crate left out of the entry | Not measured | Yes |
Facts that never count
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| License | BSD-3-Clause | GitHub repository | No | |
| Runs on, from listed crates and their direct dependencies | Not measured | No | ||
| What shows each backend | Not measured | No | ||
| Native code, from listed crates and their dependencies | Not measured | No | ||
| Python bindings, from direct dependencies of listed crates | Not measured | No | ||
| Crates that depend on a listed crate directly | Not measured | No |
Corrections and review history
No correction applies to this entry.
Judgments
A judgment enters only through an approved issue and a merged pull request.
No judgment applies to this entry.