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Shapely

pcloudhosting · Software Development

Virtual MachinesNo attestation published

Certification per Microsoft Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 7 captures on record

User ratingNot rated0 reviews on the listing
Runs onVirtual MachinesVirtual machine
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Shapely is a powerful Python library used for manipulation and analysis of planar geometric objects. It enables developers and data scientists to perform operations on points, lines, and polygons using a simple and intuitive API without requiring complex GIS software.

The solution supports common spatial operations such as buffering, intersection, union, distance calculation, and geometric transformations. It is widely used in geospatial analysis, mapping applications, data science workflows, and backend processing of location-based services.

Show the rest of the publisher’s description (17 more lines)

Features of Shapely:

  • Perform geometric operations like buffer, intersection, union, and difference.
  • Supports points, lines, polygons, and multi-geometries.
  • Built on the robust GEOS (Geometry Engine Open Source) library.
  • Easy integration with Python-based data tools like NumPy and GeoPandas.
  • Lightweight and efficient for spatial data processing tasks.
  • Suitable for GIS applications, analytics, and backend services.

Usage instructions for Shapely

$ source shapely-env/bin/activate

$ pip show shapely

Use Shapely within Python scripts or interactive environments for performing geometric computations and spatial analysis.

Run example:

python3

>>> from shapely.geometry import Point

>>> p = Point(1, 2)

>>> print(p.buffer(5).area)

Disclaimer: Shapely is provided “as is” under applicable open-source licenses. Users are responsible for environment setup, dependency management, and integration with geospatial workflows. This solution is best suited for developers and data scientists working on spatial data processing and analysis.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

CompanyPcloud HostingAutomated
HQUnited States of AmericaAutomated
IndustryTechnologyAutomated
Websitehttps://pcloudhostings.com/

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

1 link

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Virtual machine
https://pcloudhostings.com/
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