Experimental work on numpy, starting from svn mirror http://projects.scipy.org/numpy/browse_git
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#442
MOST-STARRED C
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
numpy-work gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #442 among C repositories and #13,635 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#14956
BEST RANK
Sep 29, 2026
FIRST APPEARANCE
Active
STATUS TODAY
numpy-work has maintained a continuous presence across global trending indexes, peaking at #14956. Below is the 30-day activity profile:
💡 Overview
numpy-work is an open-source project written in C: Experimental work on numpy, starting from svn mirror http://projects.scipy.org/numpy/browse_git.
Engineered for speed, consistency, and developer ease, it solves common hurdles in 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 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/efiring/numpy-work.git
cd numpy-work⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C99 or C11 compiler with CMake / make
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
numpy-work coordinates its core functionality through a modular 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 numpy-work into 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 BSD-3-Clause license.
🚀 Getting Started
Install numpy-work using your package manager: `git clone https://github.com/efiring/numpy-work.git`
Initialize your project workspace or configuration file for numpy-work.
Import numpy-work into your codebase or invoke it directly from your terminal.
Execute your test suite or run `numpy-work --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
efiring/numpy-work is currently ranked #13,635 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,638 | danigb/yuml_rails | Ruby | ★ 3 | Compare ↗ |
| #12,638 | ryszard/python-flaker | Python | ★ 3 | Compare ↗ |
| #12,638 | avsm/openbsd-lynx | C | ★ 3 | Compare ↗ |
| #12,638 | somaproject/dbus-c-- | C++ | ★ 3 | Compare ↗ |
| #12,638 | grisxa/sfr-reader | C | ★ 3 | Compare ↗ |
| #13,635 | efiring/numpy-work This Project | C | ★ 2 | |
| #13,635 | pdsphil/ruby-merlin | Ruby | ★ 2 | Compare ↗ |
| #13,635 | daaku/tempdir | Ruby | ★ 2 | Compare ↗ |
| #13,635 | morgs/poll-builder | Python | ★ 2 | Compare ↗ |
| #13,635 | locusf/monotooth | HTML | ★ 2 | Compare ↗ |
| #13,635 | xman/utility | Shell | ★ 2 | Compare ↗ |
Frequently Asked Questions
What does numpy-work do? +
Experimental work on numpy, starting from svn mirror http://projects.scipy.org/numpy/browse_git
What language is numpy-work written in? +
The primary language is C. Topics include: software.
Is numpy-work actively maintained? +
Yes, the last recorded push was on May 16, 2009 with 0 open issues being tracked.
How many stars does numpy-work have? +
numpy-work has 2 stars and 0 forks on GitHub.
How does numpy-work rank among GitHub repositories? +
With 2 stars, efiring/numpy-work is ranked #13,635 globally across all repositories tracked on GitHubRepo and #442 among C projects.
What license is numpy-work distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
