Comparison
coreai-model-zoo vs TengineKit
Verdict
Pick coreai-model-zoo if coreAI Model Zoo supports verified models on real Apple devices with one-line Swift execution for various AI tasks leveraging CoreAIKit; pick TengineKit if tengineKit is an easy-to-integrate AI algorithm SDK targeting mobile platforms for real-time detection and recognition tasks like face and body landmarks, attributes, hand detections.
Markdown twin · coreai-model-zoo alternatives · TengineKit alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | coreai-model-zoo | TengineKit |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Dormant (1746d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- coreai-model-zoo
- Community model zoo for Apple Core AI devices with support for various models including LLMs and VLMs
- TengineKit
- TengineKit - Real-Time Mobile AI Algorithm SDK
Stars
- coreai-model-zoo
- 388
- TengineKit
- 2.3k
Forks
- coreai-model-zoo
- 24
- TengineKit
- 307
Open issues
- coreai-model-zoo
- 3
- TengineKit
- 32
Language
- coreai-model-zoo
- Python
- TengineKit
- C++
Adopt for
- coreai-model-zoo
- CoreAI Model Zoo supports verified models on real Apple devices with one-line Swift execution for various AI tasks leveraging CoreAIKit.
- TengineKit
- TengineKit is an easy-to-integrate AI algorithm SDK targeting mobile platforms for real-time detection and recognition tasks like face and body landmarks, attributes, hand detections.
Persona
- coreai-model-zoo
- -
- TengineKit
- -
Runtime
- coreai-model-zoo
- -
- TengineKit
- -
License
- coreai-model-zoo
- Other
- TengineKit
- Other
Last pushed
- coreai-model-zoo
- Aug 12, 2026
- TengineKit
- Oct 18, 2021
Categories
- coreai-model-zoo
- Computer Vision, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
- TengineKit
- Computer Vision
Trust and health
Maintenance
- coreai-model-zoo
- Very active (96%)
- TengineKit
- Dormant (18%)
Days since push
- coreai-model-zoo
- 0d
- TengineKit
- 1746d
Open issues (now)
- coreai-model-zoo
- 3
- TengineKit
- 32
Owner type
- coreai-model-zoo
- User
- TengineKit
- Organization
Full report
- coreai-model-zoo
- Trust report
- TengineKit
- Trust report
Choose coreai-model-zoo if…
- coreai-model-zoo is primarily Python; TengineKit is C++.
- Tags unique to coreai-model-zoo: apple-silicon, asr, coreml, image-generation.
- Also covers Inference & Serving, LLM Frameworks, Model Training, Speech & Audio.
- When targeting iOS or macOS devices with a need for quickly deployed, locally run models covering text and vision tasks
When NOT to use coreai-model-zoo
- In environments outside Apple Core AI ecosystems due to dependency on Apple-specific technologies like Metal kernels
- When extensive custom model training is needed, as the focus here is on serving and running verified models rather than deep training capabilities
Choose TengineKit if…
- TengineKit is primarily C++; coreai-model-zoo is Python.
- Requirements: The tool requires C++ skills to be effectively utilized in development.; Performance optimization is reported on select mobile platforms, mainly focusing on Kirin and Qualcomm series..
- Tags unique to TengineKit: android, artificial-intelligence, computer-vision, deep-neural-networks.
- You aim to integrate comprehensive real-time AI algorithms on mobile devices such as face detection, landmarks, and attributes with low latency.
When NOT to use TengineKit
- Your project does not require features like hand or body detection/landmarks in real-time on mobile devices, as these are not fully supported yet on the mobile platform provided by this SDK.
- The necessity of using an open-source license is a critical factor for your decision since TengineKit's license is listed as 'Other', suggesting restrictions may apply.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (john-rocky/coreai-model-zoo) · observed Aug 13, 2026
- GitHub forks (john-rocky/coreai-model-zoo) · observed Aug 13, 2026
- Last push (john-rocky/coreai-model-zoo) · observed Aug 12, 2026
- License file (Other) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (OAID/TengineKit) · observed Jul 31, 2026
- GitHub forks (OAID/TengineKit) · observed Jul 31, 2026
- Last push (OAID/TengineKit) · observed Oct 18, 2021
- License file (Other) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: coreai-model-zoo 388 · TengineKit 2.3k (synced Aug 13, 2026).
Common questions
- What is the difference between coreai-model-zoo and TengineKit?
- coreai-model-zoo: Community model zoo for Apple Core AI devices with support for various models including LLMs and VLMs. TengineKit: TengineKit - Real-Time Mobile AI Algorithm SDK. See the comparison table for live GitHub stats and shared categories.
- When should I choose coreai-model-zoo over TengineKit?
- Choose coreai-model-zoo over TengineKit when coreai-model-zoo is primarily Python; TengineKit is C++; Tags unique to coreai-model-zoo: apple-silicon, asr, coreml, image-generation; Also covers Inference & Serving, LLM Frameworks, Model Training, Speech & Audio; When targeting iOS or macOS devices with a need for quickly deployed, locally run models covering text and vision tasks.
- When should I choose TengineKit over coreai-model-zoo?
- Choose TengineKit over coreai-model-zoo when TengineKit is primarily C++; coreai-model-zoo is Python; Requirements: The tool requires C++ skills to be effectively utilized in development.; Performance optimization is reported on select mobile platforms, mainly focusing on Kirin and Qualcomm series.; Tags unique to TengineKit: android, artificial-intelligence, computer-vision, deep-neural-networks; You aim to integrate comprehensive real-time AI algorithms on mobile devices such as face detection, landmarks, and attributes with low latency.
- When should I avoid coreai-model-zoo?
- In environments outside Apple Core AI ecosystems due to dependency on Apple-specific technologies like Metal kernels When extensive custom model training is needed, as the focus here is on serving and running verified models rather than deep training capabilities
- When should I avoid TengineKit?
- Your project does not require features like hand or body detection/landmarks in real-time on mobile devices, as these are not fully supported yet on the mobile platform provided by this SDK. The necessity of using an open-source license is a critical factor for your decision since TengineKit's license is listed as 'Other', suggesting restrictions may apply.
- Is coreai-model-zoo or TengineKit more popular on GitHub?
- TengineKit has more GitHub stars (2,320 vs 388). Stars measure visibility, not whether either tool fits your constraints.
- Are coreai-model-zoo and TengineKit open source?
- Yes - both are open-source projects on GitHub (coreai-model-zoo: Other, TengineKit: Other).
- Where can I find alternatives to coreai-model-zoo or TengineKit?
- GraphCanon lists graph-backed alternatives at coreai-model-zoo alternatives and TengineKit alternatives (coreai-model-zoo markdown twin, TengineKit markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, coreai-model-zoo or TengineKit?
- coreai-model-zoo: Very active. TengineKit: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for coreai-model-zoo and TengineKit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: coreai-model-zoo trust report; TengineKit trust report.