semvec/pypi-packages huggingface dataset:
reviewloop 0.3.6
Autonomous review loop - automates the review-fix-push cycle
Requires Python: >=3.12
Keywords: ai, ai-agents, automation, cli, code-review, developer-tools

<div align="center">
    <img src="https://raw.githubusercontent.com/fabianboth/autonomous-review-loop/main/assets/review_loop.webp" alt="Autonomous Review Loop" width="450"/>
    <h1>Autonomous Review Loop</h1>
    <h3><em>Automate the review-fix-push cycle.</em></h3>
</div>

<p align="center">
    <strong>Pair your review bot with your coding agent: <code>reviewloop</code> delegates the entire review-fix-push cycle so you only step in when human judgment is needed.</strong>
</p>

<p align="center">
    <a href="https://github.com/fabianboth/autonomous-review-loop/actions/workflows/ci.yml"><img src="https://github.com/fabianboth/autonomous-review-loop/actions/workflows/ci.yml/badge.svg" alt="CI"/></a>
    <a href="https://pypi.org/project/reviewloop/"><img src="https://img.shields.io/pypi/v/reviewloop" alt="PyPI version"/></a>
    <a href="https://github.com/fabianboth/autonomous-review-loop/blob/main/LICENSE"><img src="https://img.shields.io/github/license/fabianboth/autonomous-review-loop" alt="License"/></a>
</p>

---

## Installation

```bash
uv tool install reviewloop
```

```bash
reviewloop init
```

## Getting Started

### Claude Code

Select **Claude Code** during `reviewloop init`. Then run this within your claude code session:

```text
/reviewloop
```

### Any Coding Agent

Select **Script based** during `reviewloop init`. This creates standalone scripts and a prompt file at `scripts/reviewloop/reviewPrompt.txt`. Feed it to any coding agent (Cursor, Windsurf, etc.) with `@scripts/reviewloop/reviewPrompt.txt` to start the loop.

## How It Works

1. Waits for CI to complete
2. Fetches inline comments and review comments
3. Fixes valid issues and asks you about ambiguous ones
4. Resolves threads and pushes
5. Repeats until no unresolved comments remain

## Features

- **Batched decision-making:** Aggregate review requests instead of triaging comments one by one.
- **Parallel work:** Continue other tasks while the loop runs in the background.
- **Multi-pass resolution:** Iterates automatically until clean.
- **Agent-agnostic:** Works with Claude Code, Cursor, Windsurf, or any coding agent.

## Documentation

For full documentation, troubleshooting, and advanced usage, visit the [GitHub repository](https://github.com/fabianboth/autonomous-review-loop).
cupy 14.0.1
CuPy: NumPy & SciPy for GPU
Requires Python: >=3.10

.. image:: https://raw.githubusercontent.com/cupy/cupy/main/docs/image/cupy_logo_1000px.png
   :width: 400

CuPy : NumPy & SciPy for GPU
============================

`CuPy <https://cupy.dev/>`_ is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This package (``cupy``) is a source distribution.
For most users, use of pre-build wheel distributions are recommended:

- `cupy-cuda13x <https://pypi.org/project/cupy-cuda13x/>`_ (for NVIDIA CUDA 13.x)
- `cupy-cuda12x <https://pypi.org/project/cupy-cuda12x/>`_ (for NVIDIA CUDA 12.x)

- `cupy-rocm-7-0 <https://pypi.org/project/cupy-rocm-7-0/>`_ (for AMD ROCm 7.0)

Please see `Installation Guide <https://docs.cupy.dev/en/latest/install.html>`_ for the detailed instructions.
cupy-rocm-7-0 14.0.1
CuPy: NumPy & SciPy for GPU
Requires Python: >=3.10

.. image:: https://raw.githubusercontent.com/cupy/cupy/main/docs/image/cupy_logo_1000px.png
   :width: 400

CuPy : NumPy & SciPy for GPU
============================

`CuPy <https://cupy.dev/>`_ is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for AMD ROCm 7.0.
You need to install `ROCm 7.0 <https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html>`_ to use these packages.

If you have another version of ROCm, or want to build from source, refer to the `Installation Guide <https://docs.cupy.dev/en/latest/install.html>`_ for instructions.
pexpect-serialspawn 0.0.5
Interact with serial devices using pexpect
Requires Python: >=3.0

# Serial spawn for pexpect

[![Build](https://github.com/antoniovazquezblanco/pexpect-serialspawn/actions/workflows/build.yml/badge.svg)](https://github.com/antoniovazquezblanco/pexpect-serialspawn/actions/workflows/build.yml)
[![PyPI](https://img.shields.io/pypi/v/pexpect-serialspawn)](https://pypi.org/project/pexpect-serialspawn/)
[![pexpect-serialspawn](https://snyk.io/advisor/python/pexpect-serialspawn/badge.svg)](https://snyk.io/advisor/python/pexpect-serialspawn)

Interact with serial devices using pexpect.

## Installation

Just use pip :)

```
pip install pexpect-serialspawn
```

## Usage

```python
import serial
from pexpect_serialspawn import SerialSpawn

# Initialize your serial device
ser = serial.Serial('COM1', 115200)

# Spawn a pexpect object
ss = SerialSpawn(ser, encoding='utf-8')

# Use as any other pexpect spawns...
ss.sendline('Hello')
ss.expect('World')
```
cupy-cuda13x 14.0.1
CuPy: NumPy & SciPy for GPU
Requires Python: >=3.10

.. image:: https://raw.githubusercontent.com/cupy/cupy/main/docs/image/cupy_logo_1000px.png
   :width: 400

CuPy : NumPy & SciPy for GPU
============================

`CuPy <https://cupy.dev/>`_ is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for CUDA 13.x.
You need to install `CUDA Toolkit 13.x <https://developer.nvidia.com/cuda-toolkit-archive>`_ locally to use these packages.
Alternatively, you can install this package together with all needed CUDA components from PyPI by passing the ``[ctk]`` tag::

   $ pip install cupy-cuda13x[ctk]

If you have another version of CUDA, or want to build from source, refer to the `Installation Guide <https://docs.cupy.dev/en/latest/install.html>`_ for instructions.