Metadata-Version: 2.1
Name: datalake-framework
Version: 1.0.4
Summary: Datalake Framework
Home-page: https://github.com/equancy/datalake-framework
License: MIT
Author: Didier SCHMITT
Author-email: dschmitt@equancy.com
Requires-Python: >=3.8,<4.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides-Extra: all
Provides-Extra: pandas
Requires-Dist: Babel (>=2.10.1,<3.0.0)
Requires-Dist: azure-eventhub (>=5.9.0,<6.0.0)
Requires-Dist: azure-identity (>=1.10.0,<2.0.0)
Requires-Dist: azure-keyvault-secrets (>=4.4.0,<5.0.0)
Requires-Dist: azure-storage-blob (>=12.12.0,<13.0.0)
Requires-Dist: boto3 (>=1.23.3,<2.0.0)
Requires-Dist: google-cloud-monitoring (>=2.9.1,<3.0.0)
Requires-Dist: google-cloud-pubsub (>=2.12.1,<3.0.0)
Requires-Dist: google-cloud-secret-manager (>=2.10.0,<3.0.0)
Requires-Dist: google-cloud-storage (>=2.3.0,<3.0.0)
Requires-Dist: influxdb-client (>=1.28.0,<2.0.0)
Requires-Dist: pandas (>=1.4.2,<2.0.0); extra == "all" or extra == "pandas"
Requires-Dist: pendulum (>=2.1.2,<3.0.0)
Requires-Dist: requests (>=2.27.1,<3.0.0)
Project-URL: Documentation, https://docs.equancy.cloud/datalake-framework/latest/index.html
Project-URL: Repository, https://github.com/equancy/datalake-framework
Description-Content-Type: text/markdown

# Datalake Framework

A Python framework for working with a datalake's cloud assets like **data catalog**, **storage**, **monitoring** or **secrets**

The framework helps making abstraction of cloud resources when developing use-cases for a datalake. Supported cloud providers are

- [Amazon Web Services](https://aws.amazon.com/)
- [Google Cloud Plaform](https://cloud.google.com/)
- [Microsoft Azure](https://azure.microsoft.com/)

Additionnaly, most cloud features in the framework are available for **local development**. Hence developers can work on use-cases without requiring a full cloud insfrastructure or even work offline. 

## Installation

Using pip

```shell
pip install datalake-framework
```

