six: Modules from Python Standard Lib and 3rd Parties
收藏Snowflake2024-06-11 更新2024-06-15 收录
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资源简介:
**six** is a tool for Python 2 and 3 compatibility. The **six** modules and metadata dataset is a critical resource for developers and organizations working with Python, providing detailed insights into the usage of code external to the **six** package. This data set covers **six version 1.16.0.**
The dataset can be joined with [Python Standard Library Releases](https://app.snowflake.com/marketplace/providers/GZT1Z1RAUM8/Version%255E) 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 six?
- What non-standard, third-party libraries are essential dependencies not only to six 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 is crucial to maintain 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 enables 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.
提供机构:
Version^
创建时间:
2024-06-09
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集针对six 1.16.0版本,提供了six包外部模块的详细使用信息,旨在帮助开发者评估安全风险和兼容性问题。它支持风险审计团队和软件公司管理依赖关系,以提升代码健壮性和维护效率。
以上内容由遇见数据集搜集并总结生成



