DeepLake
kCloudHub LLC · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Deeplake is a powerful, open-source data lake designed for AI and machine learning, enabling efficient storage, management, and querying of large multi-modal datasets. With seamless integration with popular AI frameworks, versioning support, and high-performance storage, Deeplake helps developers and teams accelerate model training, organize datasets, and collaborate on AI projects effectively.
Features of Deeplake:
Show the rest of the publisher’s description (15 more lines)
- Efficient storage and management of large datasets including images, videos, audio, and text.
- Supports multi-modal AI datasets for complex machine learning workflows.
- Dataset versioning and reproducibility for collaborative experiments.
- Seamless integration with popular AI and deep learning frameworks.
- High-performance data querying and indexing for faster model training.
- Flexible API for easy dataset manipulation and retrieval.
- Supports collaborative development across teams with secure and scalable storage.
- Lightweight Python library that can be easily integrated into projects.
DeepLake Usage Instructions:
$ sudo su
$ cd /opt/deeplake
$ source venv/bin/activate
$ To check version - python -c "import deeplake; print(deeplake.__version__)"
$ Get started with Deeplake: A fast and reliable data lake for storing, managing, and querying AI datasets.
Disclaimer: Deeplake is open-source software distributed under its respective license. It is independently developed and maintained by a community of contributors and is not affiliated with any commercial entities unless explicitly stated. The software is provided "as is," without warranties or guarantees of any kind. Users are responsible for their use of the software and should ensure compliance with applicable laws and licenses.
Agent build and provenance
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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
- 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
Sources
Publisher resources
1 linkLinked repositories
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.
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.