semvec/pypi-packages huggingface dataset:
boto3-pydantic-gamelift 1.0.2
Pydantic models for AWS Gamelift
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, gamelift

# boto3-pydantic-gamelift

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Gamelift.
boto3-pydantic-fsx 1.0.2
Pydantic models for AWS Fsx
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, fsx

# boto3-pydantic-fsx

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Fsx.
wheke-auth 0.0.1a3
A Pod that adds auth to Wheke
Requires Python: >=3.12

<h1 align="center" style="font-size: 3rem">
  wheke-auth
</h1>

<p align="center">
  <em>A Pod that adds auth to Wheke</em>
</p>

<p align="center">
  <a href="https://github.com/humrochagf/wheke-auth/actions">
    <img src="https://github.com/humrochagf/wheke-auth/workflows/Test%20Suite/badge.svg" alt="Test Suite">
  </a>
  <a href="https://pypi.org/project/wheke-auth">
    <img src="https://img.shields.io/pypi/v/wheke-auth.svg" alt="PyPI - Version">
  </a>
  <a href="https://pypi.org/project/wheke-auth">
    <img src="https://img.shields.io/pypi/pyversions/wheke-auth.svg" alt="PyPI - Python Version">
  </a>
</p>

---

## Installation

```console
pip install wheke-auth
```
boto3-pydantic-freetier 1.0.2
Pydantic models for AWS Freetier
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, freetier

# boto3-pydantic-freetier

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Freetier.
predictrampyfinance 0.1.8
Access prepackaged stock-level financial data (JSON) via a simple Python API.

# predictrampyfinance

**predictrampyfinance** is a Python package that provides offline access to structured financial data (JSON) for Indian companies. You can easily retrieve quarterly and yearly financial statements for each company by its symbol — with no API calls, tokens, or downloads.

---

## Features

- Browse and search symbols with labels
- Access financials by:
  - Income Statement (Quarterly)
  - Balance Sheet (Yearly)
  - Cash Flow (Yearly)
- Filter by date or frequency
- Extract custom date ranges
- Everything runs offline

---

##Installation

```bash
pip install predictrampyfinance

pip install predictrampyfinance==0.1.7
boto3-pydantic-frauddetector 1.0.2
Pydantic models for AWS Frauddetector
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, frauddetector

# boto3-pydantic-frauddetector

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Frauddetector.