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Technology

SAGA GIS

Last fetched

SAGA GIS is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under mapping and gis, with a published adopter count of 28 hostnames.

Profile

Category
mapping and gis
Broader grouping
web tools and plugins, audio, video, graphics
Published adopter count
28
Vendor
saga-gis.org

SAGA GIS is a geographic information system software designed for automated geoscientific analyses. It provides users with a user-friendly interface and various visualization options to support spatial data processing, analysis, and interpretation. The platform facilitates the management and analysis of geographic data for research, environmental monitoring, and spatial planning.

Vendor site: https://www.saga-gis.org/en/index.html

Sample adopters

20 hostnames WhisperGraph observed running SAGA GIS, a sample of the 28 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 SAGA GIS adopters, not of all 28 published adopters. A hostname counts once per network.

Related pages

Pivot from SAGA GIS into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.