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gvangool/wapi

Web Api Framework for Django

Python ◇ developer-tools MIT
★3STARS
⑂2FORKS
!1ISSUES
🏆#12,422GLOBAL RANK
🔥21DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for gvangool/wapi
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,341

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

wapi gained 10 stars in the last 30 days, about 1 a day, and now has 3. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #1,341 among Python repositories and #12,422 across all languages on GitHubRepo.

Trending Record

wapi has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

wapi is an open-source project written in Python: Web Api Framework for Django.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Python 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
$ pip install wapi

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

wapi coordinates its core functionality through a modular Python 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 wapi into Python 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 MIT license.

🚀 Getting Started

1

Install wapi using your package manager: `pip install wapi`

2

Initialize your project workspace or configuration file for wapi.

3

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

4

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

👍 Strengths

Active community backing with 3 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

gvangool/wapi is currently ranked #12,422 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,762 darrinholst/rcronwtf Ruby ★ 4 Compare ↗
#11,762 bkerley/have-code Ruby ★ 4 Compare ↗
#11,762 timvdm/OBDepict C++ ★ 4 Compare ↗
#11,762 ella/django-base-library Python ★ 4 Compare ↗
#11,762 rangalo/google_weather XSLT ★ 4 Compare ↗
#12,422 gvangool/wapi This Project Python ★ 3
#12,422 mudge/blankable Ruby ★ 3 Compare ↗
#12,422 anildigital/getfake Ruby ★ 3 Compare ↗
#12,422 francois/fogbugz-svnhook — ★ 3 Compare ↗
#12,422 gnu-lorien/crapvine Python ★ 3 Compare ↗
#12,422 matschaffer/mechaflickr Ruby ★ 3 Compare ↗

Frequently Asked Questions

What does wapi do? +

Web Api Framework for Django

What language is wapi written in? +

The primary language is Python. Topics include: software.

Is wapi actively maintained? +

Yes, the last recorded push was on Oct 21, 2011 with 1 open issues being tracked.

How many stars does wapi have? +

wapi has 3 stars and 2 forks on GitHub.

How does wapi rank among GitHub repositories? +

With 3 stars, gvangool/wapi is ranked #12,422 globally across all repositories tracked on GitHubRepo and #1,341 among Python projects.

What license is wapi distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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