Django: Modules from Python Standard Lib and 3rd Parties

Django, a high-level Python web framework, enables developers to build robust and scalable web applications quickly. The Django modules and metadata dataset is a critical resource for developers and organizations working with Django, providing detailed insights into the usage of code external to the Django package. This dataset covers Django version 4.2.

The dataset can be joined with [Python Standard Library Releases](https://app.snowflake.com/marketplace/providers/GZT1Z1RAUM8/Version%255E) module data and our other [Python Package Datasets](https://app.snowflake.com/marketplace/providers/GZT1Z1RAUM8/Version%255E) to evaluate risk, answering these questions, among others:

- Which modules are deprecated in Django?
- What non-standard, third-party libraries are essential dependencies not only to Django but also to your application's other packages, including cases in which multiple packages might rely on the same 3rd-party libraries?

As packages continue to evolve, understanding the landscape of standard library and third-party code used by individual packages becomes essential for maintaining a robust and secure codebase. This allows users to have a more fine-grained understanding of security risks and compatibility issues as their own applications evolve. This dataset is a time-saving resource, enabling users to effectively manage their package dependencies. It is particularly valuable for risk audit teams, software developers, and tech companies that aim to enhance operational efficiency and minimize disruptions caused by incompatible or unsupported package versions.

This dataset not only facilitates immediate compatibility checks but also underpins long-term strategies for software health monitoring and upgrade planning. It offers a substantial return on investment by preempting future compatibility issues and promoting a forward-looking stance on software maintenance.

Key release information for Django version included in this dataset:

**4.2**: Released in April 2023, featuring performance improvements and new functions.

搜集汇总

背景与挑战

背景概述

该数据集提供Django 4.2版本中使用的Python标准库及第三方模块的详细分析，帮助开发者识别废弃模块、关键依赖关系，从而有效管理安全风险和版本兼容性问题。它特别适用于需要优化软件维护策略的开发团队和风险审计场景。