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daevaorn/django-legacy

Smart rewrites for old urls

Python ◇ developer-tools BSD-3-Clause
★2STARS
⑂1FORKS
!0ISSUES
🏆#30,036GLOBAL RANK
🔥13DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

django-legacy is django-legacy is an open-source project written in Python: Smart rewrites for old urls..

Repository daevaorn/django-legacy ↗
Primary Category developer tools
Language & Stack Python
Software License BSD-3-Clause
Community Traction ★ 2 stars · ⑂ 1 forks · #30,036 globally
Maintenance ● Active (Last commit: Jul 28, 2010) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

Star History

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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,726

MOST-STARRED Python

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

django-legacy 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 #3,726 among Python repositories and #30,036 across all languages on GitHubRepo.

Trending Record

django-legacy has maintained a continuous presence across global trending indexes, peaking at #27471. Below is the 30-day activity profile:

💡 Overview

django-legacy is an open-source project written in Python: Smart rewrites for old urls.

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 django-legacy

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

django-legacy 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 django-legacy 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 BSD-3-Clause license.

🚀 Getting Started

1

Install django-legacy using your package manager: `pip install django-legacy`

2

Initialize your project workspace or configuration file for django-legacy.

3

Import django-legacy into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 2 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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.

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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

daevaorn/django-legacy is currently ranked #30,036 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#28,158 fatalmind/hatools C ★ 3 Compare ↗
#28,158 siyelo/blogify Ruby ★ 3 Compare ↗
#28,158 ohm/libuuidrb Ruby ★ 3 Compare ↗
#28,158 nephthys/insidetags Python ★ 3 Compare ↗
#28,158 codemac/yi-editor Haskell ★ 3 Compare ↗
#30,036 daevaorn/django-legacy This Project Python ★ 2
#30,036 pdsphil/ruby-merlin Ruby ★ 2 Compare ↗
#30,036 daaku/tempdir Ruby ★ 2 Compare ↗
#30,036 morgs/poll-builder Python ★ 2 Compare ↗
#30,036 locusf/monotooth HTML ★ 2 Compare ↗
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Frequently Asked Questions

What does django-legacy do? +

Smart rewrites for old urls

What language is django-legacy written in? +

The primary language is Python. Topics include: software.

Is django-legacy actively maintained? +

Yes, the last recorded push was on Jul 28, 2010 with 0 open issues being tracked.

How many stars does django-legacy have? +

django-legacy has 2 stars and 1 forks on GitHub.

How does django-legacy rank among GitHub repositories? +

With 2 stars, daevaorn/django-legacy is ranked #30,036 globally across all repositories tracked on GitHubRepo and #3,726 among Python projects.

What license is django-legacy distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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