NumPy: Modules from Python Standard Lib and 3rd Parties

This dataset covers six NumPy versions from 1.21.0 to 1.26.0. NumPy, a fundamental package for scientific computing with Python, provides support for arrays, matrices, and mathematical functions. This NumPy modules and metadata dataset is a critical resource, providing detailed insights into the usage of code external to the NumPy package. 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 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 NumPy versions included in this dataset:

- **1.21.0**: Introduced in June 2021, featuring performance improvements and new functions.
- **1.22.0**: Released in December 2021, with enhancements to array creation and new random number generation features.
- **1.23.0**: Available since June 2022, offering expanded support for data types and performance optimizations.
- **1.24.0**: Launched in December 2022, focusing on bug fixes and incremental feature updates.
- **1.25.0**: Released in June 2023, including significant enhancements to the array API.
- **1.26.0**: The latest version from September 2023, emphasizing compatibility and stability improvements.

The dataset can be joined with [Python Standard Library Releases ](https://app.snowflake.com/marketplace/providers/GZT1Z1RAUM8/Version%255E)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 NumPy?
- What non-standard, third-party libraries are essential dependencies within your application's various packages, including cases in which multiple packages might rely on the same 3rd-party libraries?