- libjs-jquery
- libjs-underscore
- python-gdal
- python-jinja2
- python-lxml
- python-psycopg2
- python:any (<< 2.8)
- python:any (>= 2.7.5-5~)
Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework
for the conversion of rich (as GML) geospatial data conversion.
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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.
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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).
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This package contains the module for Python 2.
Installed Size: 7.1 MB
Architectures: all