Back to the registry
Agent passport

NLTK, TensorFlow, Text2vec

bCloud LLC · Software Development

Virtual MachinesNo attestation published

Certification per Microsoft Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 9 captures on record

User rating5 ★1 review 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.

NLTK, TensorFlow, and Text2Vec on Ubuntu 24.04 LTS are open-source libraries widely used in natural language processing (NLP), machine learning, and artificial intelligence applications. They enable developers and researchers to process human language, build and train neural networks, and generate vector representations of text for semantic analysis.

Features of NLTK, TensorFlow, and Text2Vec:

Show the rest of the publisher’s description (12 more lines)
  • NLTK: Provides tools for tokenization, stemming, lemmatization, and other NLP preprocessing tasks along with access to linguistic datasets.
  • TensorFlow: A deep learning framework that supports building, training, and deploying neural networks for AI and machine learning projects.
  • Text2Vec: Converts text into embeddings (vector representations) to perform semantic similarity, clustering, and text classification tasks.
  • Cross-platform support with optimized performance for AI and NLP workflows.
  • Runs on Ubuntu 24.04 LTS using Python virtual environments for dependency isolation.

To install and check versions:

# python

#import nltk, tensorflow as tf, text2vec

print("NLTK version:", nltk.__version__)

print("TensorFlow version:", tf.__version__)

print("Text2Vec version:", text2vec.__version__)

Disclaimer: NLTK, TensorFlow, and Text2Vec are independent open-source projects and are not affiliated with, endorsed by, or sponsored by Ubuntu or Canonical.

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

CompanybCloud AIAutomated
HQUnited States of AmericaVerified
IndustryTechnologyAutomated
Websitehttps://www.bcloud.ai/

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

1 link
Supportbcloud.aiSource

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://bcloud.ai/Default.aspx
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.