[PR #2827] [CLOSED] Add VectorWave to Testing #15830

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GiteaMirror · 2026-05-02T08:01:20-05:00

GiteaMirror commented

2026-05-02 08:01:20 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2827
Author: @junyeong0619
Created: 12/27/2025
Status: ❌ Closed

Base: master ← Head: master

📝 Commits (1)

5efb20c Add VectorWave

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Hello! I'd like to propose adding VectorWave to the list.

Project Name: VectorWave Category: Testing License: MIT

Why it is awesome: VectorWave is a Python framework that automatically captures and vectorizes function execution data. It bridges the gap between runtime monitoring and RAG (Retrieval-Augmented Generation), allowing developers to:

Record function inputs/outputs and execution paths into vector databases (like Weaviate).

Perform semantic regression testing using the collected vectors.

Visualize execution flows for debugging.

It is actively maintained and includes documentation and CI/CD pipelines.

Thank you for your time and for maintaining this awesome list!

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2827 **Author:** [@junyeong0619](https://github.com/junyeong0619) **Created:** 12/27/2025 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`5efb20c`](https://github.com/vinta/awesome-python/commit/5efb20ce2fb2d4f8f541b8fe3acf348722e2e323) Add VectorWave ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description Hello! I'd like to propose adding VectorWave to the list. Project Name: VectorWave Category: Testing License: MIT Why it is awesome: VectorWave is a Python framework that automatically captures and vectorizes function execution data. It bridges the gap between runtime monitoring and RAG (Retrieval-Augmented Generation), allowing developers to: Record function inputs/outputs and execution paths into vector databases (like Weaviate). Perform semantic regression testing using the collected vectors. Visualize execution flows for debugging. It is actively maintained and includes documentation and CI/CD pipelines. Thank you for your time and for maintaining this awesome list! --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-05-02 08:01:20 -05:00

GiteaMirror closed this issue

2026-05-02 08:01:22 -05:00

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Reference: github-starred/awesome-python#15830