MetaCarta Labs is proud to announce the release of FeatureServer[1], an
open source, Python based RESTful feature server.
FeatureServer allows you to store points, lines, and polygons in a
number of backends, and get the data out all at once or one piece at a
time. You can get the data out as KML, JSON, GeoRSS, GML/WFS or even as
HTML.
FeatureServer is primarily designed as a lightweight vector feature
storage companion to the new OpenLayers vector capabilities.
A demo of FeatureServer in OpenLayers is available at the FeatureServer
Demo page[2]. You can see features from this demo in:
* HTML [3]
* KML [4]
* GeoRSS (Atom, simple) [5]
* GML/WFS [6]
* JSON [7]
FeatureServer is easy to set up, following a similar process to
TileCache: once you unpack the tarball, if your directory allows CGI
exceution, you should be able to use it on any platform (Windows, Mac,
or Linux) without any problem.
FeatureServer supports multiple datasources, from an internal DBM
datasource, to OGR, to PostGIS, to Flickr. Writing a new data
source is easy, requiring only a single function to turn any API which
supports geographic data queries into a data source, from which you can
use it as a WFS server in OpenLayers new 2.4 release.
* Mailing List: http://openlayers.org/mailman/listinfo/featureserver
* Trac: http://dev.featureserver.org/
* SVN: http://svn.featureserver.org/
* IRC: irc.freenode.net, #featureserver
In addition to data export, data of multiple types can be loaded from
the web: this allows one to use FeatureServer as a GeoRSS aggregator,
for example, simply by piping GeoRSS data to a POST into FeatureServer,
or to move features from one server to another simply by downloading
them as JSON and uploading them into a new server.
FeatureServer is the first project we've released under our
copyright-only open source license[8], a move designed to protect both
MetaCarta and project contributors. We're moving forward with getting
this license approved by OSI, and plan to release future open source
software under this license.
We look forward to interesting usage of FeatureServer: more data
sources, more formats, and more sharing of geographic data across the
web.
Many thanks go to MetaCarta for allowing myself and Schuyler Erle to
concentrate on this project. Schuyler and I will both be at the Where
2.0 conference in San Jose next week representing MetaCarta in all
things Geo, as well as at WhereCamp, hacking up a storm.
[1] http://featureserver.org/
[2] http://featureserver.org/demo.html
[3] http://featureserver.org/featureserver.cgi/scribble/463.html
[4] http://featureserver.org/featureserver.cgi/scribble/463.kml
[5] http://featureserver.org/featureserver.cgi/scribble/463.atom
[6] http://featureserver.org/featureserver.cgi/scribble/463.gml
[7] http://featureserver.org/featureserver.cgi/scribble/463
[8] http://featureserver.org/license.html
Regards,
--
Christopher Schmidt
MetaCarta
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