semvec/pypi-packages huggingface dataset:
dvt-core 1.12.103
Data Virtualization Tool - Federated queries across data sources
Requires Python: >=3.10

<p align="center">
  <img src="https://raw.githubusercontent.com/dbt-labs/dbt-core/fa1ea14ddfb1d5ae319d5141844910dd53ab2834/docs/images/dbt-core.svg" alt="dbt logo" width="750"/>
</p>
<p align="center">
  <a href="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml">
    <img src="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml/badge.svg?event=push" alt="CI Badge"/>
  </a>
</p>

**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

![architecture](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/docs/images/dbt-arch.png)

## Understanding dbt

Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.

These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to [manage relationships](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).

![dbt dag](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/docs/images/dbt-dag.png)

## Getting started

- [Install dbt](https://docs.getdbt.com/docs/installation)
- Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)

## Join the dbt Community

- Be part of the conversation in the [dbt Community Slack](http://community.getdbt.com/)
- Read more on the [dbt Community Discourse](https://discourse.getdbt.com)

## Reporting bugs and contributing code

- Want to report a bug or request a feature? Let us know on [Slack](http://community.getdbt.com/), or open [an issue](https://github.com/dbt-labs/dbt-core/issues/new)
- Want to help us build dbt? Check out the [Contributing Guide](https://github.com/dbt-labs/dbt-core/blob/HEAD/CONTRIBUTING.md)

## Code of Conduct

Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [dbt Code of Conduct](https://community.getdbt.com/code-of-conduct).
open-asset-model 1.1.4
A Python implementation of the Open Asset Model.
Requires Python: >=3.10

# Open Asset Model in Python 

[![PyPI version](https://badge.fury.io/py/open-asset-model.svg)](https://badge.fury.io/py/open-asset-model)
![Python version](https://img.shields.io/badge/python-%3E%3D3.10-blue)

This package is a Python implementation of the
[Open Asset Model](https://github.com/owasp-amass/open-asset-model),
originally developed in Go as part of
[OWASP Amass Project](https://owasp.org/www-project-amass/).

## Open Asset Model

The Open Asset Model is a specification that defines a data model
for attack surface intelligence. It describes entities
and relationship covering both infrastructural and organizational assets, 
represented within a Labeled Property Graph (LPG).

## Install

```bash
pip install open-asset-model
```

## License

This code is licensed under the Apache License version 2.0.

See the LICENSE file for details.
langsmith-tool-server 0.2.9
LangSmith Tool Server (Python)
Requires Python: >=3.10

> [!IMPORTANT]  
> This is a work in progress. The API is expected to change.

# LangChain Tool Server

A dedicated tool server decouples the creation of specialized tools (e.g., for retrieving data from specific knowledge sources) from agent development. This separation enables different teams to contribute and manage tools independently. Agents can then be rapidly configured—by simply specifying a prompt and a set of accessible tools. This streamlined approach simplifies authentication and authorization and accelerates the deployment of agents into production.
cwl2ogc 0.12.0
CWL Worflow inputs/outputs to OGC API Processes inputs/outputs
Requires Python: >=3.8

# CWL Worflow inputs/outputs to OGC API Processes inputs/outputs

The OGC API - Processes Part 2: Deploy, Replace, Undeploy (DRU) specification enables the deployment of executable Application Packages, such as CWL workflows, as processing services. 

A key part of the deploy operation involves parsing the CWL document to generate an OGC-compliant process description, exposing the workflow’s inputs and outputs.

The **cwl2ogc** Python library is a helper library to automate the conversion of CWL input/output definitions into OGC API - Processes and JSON Schemas

## Using the Playground

**Requirements**

- docker
- task 

**Run the Playground container**

```bash
task run-playground
```

Open the browser at [http://127.0.0.1](http://127.0.0.1)

**Build and run the Playground container** 

```bash
task run-playground-dev
```

Open the browser at [http://127.0.0.1](http://127.0.0.1)

## Contribute

Submit a [Github issue](https://github.com/eoap/cwl2ogc/issues) if you have comments or suggestions.

## Documentation

See the documentation at https://eoap.github.io/cwl2ogc/

## License

[![License: CC BY-SA 4.0](https://img.shields.io/badge/License-CC_BY--SA_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-sa/4.0/)