semvec/pypi-packages huggingface dataset:
dbm-index 1.0.2
An object mapper and indexer for key value databases, written in python
Requires Python: >=3.7

# DBM Index

An object mapper and indexer for key value databases, written in python.

## Usage

```python
from dbm_index import Indexer

indexer = Indexer({})

resource_id = indexer.create({'hello': 'world'})

resource = indexer.retreive_one(resource_id)
resources = indexer.retreive()

indexer.update(resource_id, {'hello': 123})

indexer.delete(resource_id)
```
dkgr-client 0.2.3
Wrapper for dkgr backend
Requires Python: >=3.7

# dkgr_client

## Installation

```bash
pip install dkgr_client
```

## Usage

```python
from dkgr_client import ValidationClient

try:
    # Initialize the client
    client = ValidationClient(
        api_key='your_api_key', 
    )
    
    # Start a new event
    client.start_event()

    # Validate
    results = client.validate(
        type,
        text,
    )

    # Extract useful info from results
    client.humaize_response(results))

    # Close the client
    client.close()

except Exception as e:
    print(e)
```
scpyce 0.2.1
SQL based library for building and visualising finite element models.
Requires Python: >=3.8

# About the project
Scpyce is an SQL based library for building and visualising finite element models.

_For more information on the project structure, please refer to the [Documentation](https://github.com/nicbencini/scpyce/tree/main/docs)_.

# The solver
Sign Convention:
- Positive values represent upward forces
- Negative values represent downward forces
- Clockwise moments are positive moments
- Counter Clockwise moments are negative moments

Units:
- Force: kN
- Moment: KNm
- Distance: m
- Area: m^2
- Density kN/m^3
- Moment of inertia: m^4
- Youngs Modulus: MPa
- Embodied carbon: kgCO2e/m^3
- Coefficient of thermal expansion : 1/c

# Getting started
_For examples on how to use the solver, please refer to the [Examples](https://github.com/nicbencini/scpyce/tree/main/examples)_.

# Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

# License
Distributed under the MIT License. See LICENSE.txt for more information.

# Contact
Email: nicbencini@gmail.com
LinkedIn: [Nicolo Bencini](https://www.linkedin.com/in/nicolo-bencini/)
mirai-ai 0.1.29
Your Autonomous AI Agent
Requires Python: >=3.6

# Mirai: Your Autonomous AI Agent 🚀

Mirai is an AI-powered autonomous browser agent designed to execute tasks on your behalf. Leveraging the power of the **Playwright** framework, Mirai simplifies complex browser automation workflows, enabling developers and users to focus on their goals rather than tedious repetitive tasks.

## 🌟 Features
- **Browser Automation**: Perform web scraping, form filling, data extraction, and more.
- **Task Execution**: Automate mundane or repetitive browser tasks, such as searching, downloading, or interacting with web pages.
- **AI-Powered Decisions**: Integrate AI logic to make intelligent decisions during task execution.
- **Flexible**: Works seamlessly with modern web browsers and adapts to various web environments.
- **Open Source**: Built with transparency and extensibility in mind.

## 🛠️ Installation

To get started with Mirai, simply install it using pip:

```bash
pip install mirai-ai