Package: python3-stetl (2.0+ds-3)

[ Source: python-stetl  ]

Streaming ETL - Geospatial ETL framework for Python 3

Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion.

It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized.

Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server).

This package contains the module for Python 3.

Other Packages Related to python3-stetl

• dep: libjs-sphinxdoc (>= 2.4.3-5~)

  JavaScript support for Sphinx documentation

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-deprecated

  Python decorator for old classes, functions or methods

• dep: python3-gdal

  Python 3 bindings to the Geospatial Data Abstraction Library

• dep: python3-jinja2

  small but fast and easy to use stand-alone template engine

• dep: python3-lxml

  libxml2 및 libxslt 라이브러리에 대한 pythonic 바인딩

• dep: python3-psycopg2

  Python 3 module for PostgreSQL

Download python3-stetl

Download for all available architectures

Architecture	Package Size	Installed Size	Files
all	6,039.7 kB	7,994.0 kB	[list of files]