malcolmreynolds/Matlab-particle-filter-utilities
Collection of utility functions for implementing particle filters...
⚡ Executive Summary & Quick Facts
Authoritative SourceMatlab-particle-filter-utilities is Matlab-particle-filter-utilities is an open-source project written in Objective-C: Collection of utility functions for implementing particle filters....
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), malcolmreynolds/Matlab-particle-filter-utilities has accumulated 4 GitHub stars and 0 forks. It is written in Objective-C, licensed under NOASSERTION, and ranks #31,210 globally. It is actively maintained with the latest commit recorded on Dec 21, 2009.”
| Repository | malcolmreynolds/Matlab-particle-filter-utilities ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Objective-C |
| Software License | NOASSERTION |
| Community Traction | ★ 4 stars · ⑂ 0 forks · #31,210 globally |
| Maintenance | ● Active (Last commit: Dec 21, 2009) · 0 open issues |
| Target Audience | Developers and engineering teams building with Objective-C, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 53/100 · Grade DNote: Matlab-particle-filter-utilities displays slower maintenance activity. Continuous telemetry recorded the last code commit on Dec 21, 2009 (6157 days ago). Supported by 4 stars and 0 community forks, this repository holds a calculated health index of 53/100, reflecting dormant (6157 days since last push) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#192
MOST-STARRED Objective-C
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
Matlab-particle-filter-utilities gained 10 stars in the last 30 days, about 1 a day, and now has 4. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #192 among Objective-C repositories and #31,210 across all languages on GitHubRepo.
Trending Record
21
DAYS ON TRENDING
#100
BEST RANK
Dec 18, 2009
FIRST APPEARANCE
Active
STATUS TODAY
Matlab-particle-filter-utilities has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
Matlab-particle-filter-utilities is an open-source project written in Objective-C: Collection of utility functions for implementing particle filters...
Engineered for speed, consistency, and developer ease, it solves common hurdles in Objective-C. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Objective-C for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/malcolmreynolds/Matlab-particle-filter-utilities.git
cd Matlab-particle-filter-utilities⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Objective-C environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Matlab-particle-filter-utilities coordinates its core functionality through a modular Objective-C 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 Matlab-particle-filter-utilities into Objective-C 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 NOASSERTION license.
🚀 Getting Started
Install Matlab-particle-filter-utilities using your package manager: `git clone https://github.com/malcolmreynolds/Matlab-particle-filter-utilities.git`
Initialize your project workspace or configuration file for Matlab-particle-filter-utilities.
Import Matlab-particle-filter-utilities into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Matlab-particle-filter-utilities --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Objective-C, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
malcolmreynolds/Matlab-particle-filter-utilities is currently ranked #31,210 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #31,210 | malcolmreynolds/Matlab-particle-filter-utilities This Project | Objective-C | ★ 4 | |
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Frequently Asked Questions
What does Matlab-particle-filter-utilities do? +
Collection of utility functions for implementing particle filters...
Is Matlab-particle-filter-utilities actively maintained in 2026? +
Note: Matlab-particle-filter-utilities exhibits slower recent commit activity. The latest code push was recorded on Dec 21, 2009 (6157 days ago). It holds a calculated Maintenance Health Score of 53/100 (D rating) with 4 stars and 0 open issues.
What language is Matlab-particle-filter-utilities written in? +
The primary language is Objective-C. Topics include: software.
How many stars does Matlab-particle-filter-utilities have? +
Matlab-particle-filter-utilities has 4 stars and 0 forks on GitHub.
How does Matlab-particle-filter-utilities rank among GitHub repositories? +
With 4 stars, malcolmreynolds/Matlab-particle-filter-utilities is ranked #31,210 globally across all repositories tracked on GitHubRepo and #192 among Objective-C projects.
What license is Matlab-particle-filter-utilities distributed under? +
The repository reports a NOASSERTION license. Always verify the repository LICENSE file for legal terms.
