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smartcorelib
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smartcorelib/smartcore

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Rust ◇ classification Apache-2.0
★975STARS
⑂112FORKS
!56ISSUES
🏆#8,748GLOBAL RANK
🔥8DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

smartcore is smartcore is an open-source project written in Rust: A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles. ..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), smartcorelib/smartcore has accumulated 975 GitHub stars and 112 forks. It is written in Rust, licensed under Apache-2.0, and ranks #8,748 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
Repository smartcorelib/smartcore ↗
Primary Category classification
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 975 stars · ⑂ 112 forks · #8,748 globally
Maintenance ● Active (Last commit: Nov 2, 2026) · 56 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is smartcore actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, smartcore is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (10 days ago). Supported by 975 stars and 112 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 2, 2026
10 days since last push
Issue Backlog
56 Open Issues
Healthy Issue Cadence
Community Backing
112 Forks
975 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for smartcorelib/smartcore
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Momentum

+24

STARS · LAST 30 DAYS

1

PER DAY

#853

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+24+90
Per day111
Forks gained+0+3+10

smartcore gained 24 stars in the last 30 days, about 1 a day, and now has 975. It is about 8 years old and has averaged roughly 122 stars a year. It ranks #853 among Rust repositories and #8,748 across all languages on GitHubRepo.

Trending Record

smartcore has maintained a continuous presence across global trending indexes, peaking at #10936. Below is the 30-day activity profile:

💡 Overview

smartcore is an open-source project written in Rust: A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles. .

Engineered for speed, consistency, and developer ease, it solves common hurdles in classification, clustering, machine-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install smartcore

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

smartcore coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed smartcore into Rust backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install smartcore using your package manager: `cargo install smartcore`

2

Initialize your project workspace or configuration file for smartcore.

3

Import smartcore into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `smartcore --help` to verify successful setup.

👍 Strengths

Active community backing with 975 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

smartcorelib/smartcore is currently ranked #8,748 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,743 microsoft/vstest C# ★ 976 Compare ↗
#8,743 kufu/smarthr-ui TypeScript ★ 976 Compare ↗
#8,743 IReaderorg/IReader Kotlin ★ 976 Compare ↗
#8,743 heyjunpenn/awesome-jev Astro ★ 976 Compare ↗
#8,743 cloudflare/cf TypeScript ★ 976 Compare ↗
#8,748 smartcorelib/smartcore This Project Rust ★ 975
#8,748 gromacs/gromacs C++ ★ 975 Compare ↗
#8,748 GNOME/gnome-shell JavaScript ★ 975 Compare ↗
#8,748 rism-digital/verovio C++ ★ 975 Compare ↗
#8,748 Steel-Foundation/SteelMC Rust ★ 975 Compare ↗
#8,753 nwutils/Web2Executable Python ★ 974 Compare ↗
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Frequently Asked Questions

What does smartcore do? +

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Is smartcore actively maintained in 2026? +

Yes, smartcore is actively maintained. The latest code push was recorded on Nov 2, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 975 stars and 56 open issues.

What language is smartcore written in? +

The primary language is Rust. Topics include: classification, clustering, machine-learning, machine-learning-algorithms, model-selection.

How many stars does smartcore have? +

smartcore has 975 stars and 112 forks on GitHub.

How does smartcore rank among GitHub repositories? +

With 975 stars, smartcorelib/smartcore is ranked #8,748 globally across all repositories tracked on GitHubRepo and #853 among Rust projects.

What license is smartcore distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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