Open-Sora
ATH Infosystems · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 3 captures on record
What the publisher says
As described on Microsoft Marketplace.
Open-Sora is an open-source AI video generation framework designed for creating high-quality videos from text prompts using advanced generative AI models. It provides a self-hosted platform for developers, researchers, and creators to experiment with text-to-video generation, customize generation workflows, and run video synthesis locally. Open-Sora supports configurable inference settings and GPU-accelerated generation, making it suitable for creative applications, AI research, prototyping, and video generation workflows.
Key Features of Open-Sora:
Show the rest of the publisher’s description (16 more lines)
- Open-source AI video generation framework.
- Text-to-video generation capabilities.
- AI-powered video synthesis from natural language prompts.
- Supports configurable video generation and inference settings.
- Designed for high-quality AI-generated video content.
- Self-hosted deployment for greater control over generated content and infrastructure.
- Customizable models, configurations, and generation workflows.
- GPU acceleration support for supported NVIDIA hardware.
- Docker-based deployment for simplified installation and environment management.
- Suitable for AI research, experimentation, and creative development.
- Supports local model execution without requiring a third-party hosted video generation service.
- Provides a flexible foundation for developers and researchers building AI video generation applications.
Open-Sora Usage:
$ python -c "import importlib.metadata as m; print(m.version('opensora'))"
Disclaimer:
Open-Sora is an open-source AI video generation project developed and maintained by its respective open-source community and contributors. It is not affiliated with or endorsed by any third-party AI platform, cloud provider, operating system, GPU manufacturer, hardware vendor, or video generation service mentioned for compatibility, integration, or deployment purposes.
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
- 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
Reconciled on 9/3/2026
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.

