semvec/pypi-packages huggingface dataset:
ai-web-helper 0.1.0
A helper library for AI web applications

# AI Web Helper

A simple Python library to help with AI-powered web applications.

## Features

- `get_response(prompt, api_key)`: Get AI responses using Google Gemini.
- `summarize_text(text, api_key)`: Summarize long texts.
- `format_response(text)`: Format Markdown text to HTML.

## Installation

```bash
pip install .
```
framersai 0.1.0
Framers AI - Tools for prompt engineering and LLM evaluation. See promptmachine-eval for the main package.
Requires Python: >=3.9
Keywords: ai, evaluation, framers, llm, prompt

# Framers AI

**This is a namespace reservation package.** 

For the actual tools, install:

```bash
pip install promptmachine-eval
```

## About Framers AI

Framers AI provides tools for:
- 🎯 **Prompt Engineering** - Design, test, and optimize prompts
- 🏆 **LLM Evaluation** - ELO ratings and arena battles for LLMs
- 📊 **Benchmarking** - Automated benchmark testing
- 💰 **Cost Tracking** - Monitor API usage and costs

## Links

- **Main Package**: [promptmachine-eval](https://pypi.org/project/promptmachine-eval/)
- **GitHub**: [manicinc/promptmachine](https://github.com/manicinc/promptmachine)
- **Documentation**: [manicinc.github.io/promptmachine](https://manicinc.github.io/promptmachine)

## License

MIT
frame-ai 0.1.0
Frame AI - Tools for prompt engineering and LLM evaluation. See promptmachine-eval for the main package.
Requires Python: >=3.9
Keywords: ai, evaluation, frame, llm, prompt

# Frame AI

**This is a namespace reservation package.** 

For the actual tools, install:

```bash
pip install promptmachine-eval
```

## About Frame AI

Frame AI provides tools for:
- 🎯 **Prompt Engineering** - Design, test, and optimize prompts
- 🏆 **LLM Evaluation** - ELO ratings and arena battles for LLMs
- 📊 **Benchmarking** - Automated benchmark testing
- 💰 **Cost Tracking** - Monitor API usage and costs

## Links

- **Main Package**: [promptmachine-eval](https://pypi.org/project/promptmachine-eval/)
- **GitHub**: [manicinc/promptmachine](https://github.com/manicinc/promptmachine)
- **Documentation**: [manicinc.github.io/promptmachine](https://manicinc.github.io/promptmachine)

## License

MIT
framers 0.1.0
Framers AI - Tools for prompt engineering and LLM evaluation. See promptmachine-eval for the main package.
Requires Python: >=3.9
Keywords: ai, evaluation, framers, llm, prompt

# Framers

**This is a namespace reservation package.** 

For the actual tools, install:

```bash
pip install promptmachine-eval
```

## About Framers AI

Framers AI provides tools for:
- 🎯 **Prompt Engineering** - Design, test, and optimize prompts
- 🏆 **LLM Evaluation** - ELO ratings and arena battles for LLMs
- 📊 **Benchmarking** - Automated benchmark testing
- 💰 **Cost Tracking** - Monitor API usage and costs

## Links

- **Main Package**: [promptmachine-eval](https://pypi.org/project/promptmachine-eval/)
- **GitHub**: [manicinc/promptmachine](https://github.com/manicinc/promptmachine)
- **Documentation**: [manicinc.github.io/promptmachine](https://manicinc.github.io/promptmachine)

## License

MIT
smart-data-profiler 0.1.1
A lightweight Python library for automated dataset profiling, visualization, and insights.
Requires Python: >=3.8
Keywords: data profiling, eda, data analysis, automation, pandas

# 🧠 Smart Data Profiler

**A lightweight Python library for automated dataset profiling, visualization, and smart insights.**

Smart Data Profiler automatically analyzes your dataset (CSV or DataFrame) and generates a detailed HTML report with:
- ✅ Missing value summary  
- 📊 Data types and descriptive statistics  
- ⚠️ Outlier detection  
- 🔗 Correlation heatmap  
- 💡 Smart recommendations (e.g., fill missing values, handle correlations)
- 🧮 Data Health Score

Built as a personal project to simplify data understanding during EDA and feature engineering.

### 🔧 Installation
```bash
pip install smart-data-profiler
healthmetrics 0.2.0
Health Metrics for within and between subjects / sessions
Requires Python: >=3.11

# HealthMetrics


[![Python Versions](https://img.shields.io/pypi/pyversions/healthmetrics.svg)](https://pypi.org/project/healthmetrics/)
[![PyPI](https://img.shields.io/pypi/v/healthmetrics)](https://pypi.org/project/healthmetrics/)
[![License](https://img.shields.io/github/license/elong0527/healthmetrics)](https://github.com/elong0527/healthmetrics/blob/main/LICENSE)
[![CI Build](https://github.com/elong0527/healthmetrics/actions/workflows/ci.yml/badge.svg)](https://github.com/elong0527/healthmetrics/actions/workflows/ci.yml)
[![Codecov](https://codecov.io/gh/elong0527/healthmetrics/graph/badge.svg)](https://codecov.io/gh/elong0527/healthmetrics)

Health Metrics for within and between subjects / sessions

A high-performance model evaluation framework built on Polars lazy evaluation.

Specializes in fast, flexible, and type-safe metric evaluation for data science workflows.

## Documentation 

<https://elong0527.github.io/healthmetrics/>

## Installation

You can install the development version from GitHub:

```bash
git clone https://github.com/elong0527/demo_eval_metric.git
cd demo_eval_metric
pip install -e .
```

To install with development dependencies:

```bash
pip install -e ".[dev]"
```
tec-do-apollo-env-launcher 0.0.2
A zero-dependency Apollo configuration launcher for Python applications
Requires Python: >=3.6

# Apollo Launcher

这是一个简单的 Python 工具，用于在应用启动前从 Apollo 配置中心拉取配置，并将其注入到环境变量中。

## 功能

- 从 Apollo 拉取配置 (支持命名空间)
- 将配置注入到环境变量
- 启动目标应用 (使用 `execvp` 替换进程，保留 PID)

## 安装

```bash
pip install .
# 或者
pip install tec-do-apollo-env-launcher
```

## 使用方法

在启动命令前加上 `apollo-launcher` 即可：

```bash
# 假设原命令是 python app.py
apollo-launcher python app.py
```

或者使用 `python -m` 方式 (模块名为 `apollo_launcher`)：

```bash
python -m apollo_launcher.main python app.py
```

## 环境变量配置

工具依赖以下环境变量：

- `APOLLO_URL`: Apollo 配置中心地址 (必需)
- `APOLLO_APP_ID`: 应用 ID (必需)
- `CLUSTER_NAME`: 集群名称 (默认: `default`)
- `APOLLO_NAMESPACE`: 命名空间 (默认: `application`)

## 示例

```bash
export APOLLO_URL=http://apollo-dev.example.com
export APOLLO_APP_ID=my-service
export CLUSTER_NAME=dev

apollo-launcher uvicorn main:app --host 0.0.0.0
```