Comparison
clip-as-service vs alice
Verdict
Pick clip-as-service if clip-as-service offers scalable embedding, reasoning, and ranking for images and sentences using the CLIP model, with support for Pytorch, ONNX, and TensorRT runtimes; pick alice if alice is an AI-assisted tool for handling YOLO object detection datasets using Docker with auto-detection of hardware resources.
Markdown twin · clip-as-service alternatives · alice alternatives
GraphCanon updated Sep 24, 2026
6views this month
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Trust & integrity
| Signal | clip-as-service | alice |
|---|---|---|
| Maintenance | Dormant (968d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (150d since push) As of Sep 24, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 24, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- clip-as-service
- Scalable embedding, reasoning, ranking for images and sentences with CLIP
- alice
- AI-powered YOLO dataset management toolkit
Stars
- clip-as-service
- 13k
- alice
- 410
Forks
- clip-as-service
- 2.1k
- alice
- 41
Open issues
- clip-as-service
- 304
- alice
- 2
Language
- clip-as-service
- Python
- alice
- JavaScript
Adopt for
- clip-as-service
- clip-as-service offers scalable embedding, reasoning, and ranking for images and sentences using the CLIP model, with support for Pytorch, ONNX, and TensorRT runtimes.
- alice
- alice is an AI-assisted tool for handling YOLO object detection datasets using Docker with auto-detection of hardware resources.
Persona
- clip-as-service
- -
- alice
- -
Runtime
- clip-as-service
- -
- alice
- -
License
- clip-as-service
- Other
- alice
- Other
Last pushed
- clip-as-service
- Jan 23, 2024
- alice
- Apr 26, 2026
Categories
- clip-as-service
- Data & Retrieval, Model Training
- alice
- Data & Retrieval, Model Training
Trust and health
Maintenance
- clip-as-service
- Dormant (18%)
- alice
- Slowing (36%)
Days since push
- clip-as-service
- 968d
- alice
- 150d
Open issues (now)
- clip-as-service
- 304
- alice
- 2
Stars delta
- clip-as-service
- -1 (30d)
- alice
- +40 (30d)
Open issues delta
- clip-as-service
- +1 (30d)
- alice
- +2 (30d)
Owner type
- clip-as-service
- Organization
- alice
- User
Full report
- clip-as-service
- Trust report
- alice
- Trust report
Shared compatibility
- Python · clip-as-service: Python runtime · alice: Python runtime
Choose clip-as-service if…
- clip-as-service is primarily Python; alice is JavaScript.
- Pricing: The repository does not provide specific pricing information for using clip-as-service..
- Requirements: Min 4 GB RAM; The server requires Python 3.7+ and supports Pytorch, ONNX, and TensorRT runtimes.; The client can be installed independently and also requires Python 3.7+..
- Tags unique to clip-as-service: bert, clip-as-service, clip-model, cross-modal-retrieval.
- When you need to leverage the CLIP model for cross-modal retrieval tasks involving both images and text.
When NOT to use clip-as-service
- If you are looking for a solution that does not support the CLIP model specifically and requires a different model for embeddings.
- When you do not need the scalability provided by multiple runtimes and prefer a simpler setup.
- If you do not have access to or do not want to use Google Colab for hosting the server.
- When your project is not compatible with Python 3.7+ or you prefer a different programming language.
Choose alice if…
- alice is primarily JavaScript; clip-as-service is Python.
- Tags unique to alice: ai-tools, annotation, computer-vision, dataset.
- alice ships Docker support for self-hosted deployment.
- When you need a toolkit that seamlessly integrates with Docker for dataset management in conjunction with YOLO models.
When NOT to use alice
- Do not use if your project does not require integration with the YOLO model for object detection tasks.
- Avoid if you prefer tools that handle NVIDIA drivers and CUDA toolkit installations automatically without requiring manual pre-installation by users.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jina-ai/clip-as-service) · observed Sep 20, 2026
- GitHub forks (jina-ai/clip-as-service) · observed Sep 20, 2026
- Last push (jina-ai/clip-as-service) · observed Jan 23, 2024
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (simoncirstoiu/alice) · observed Sep 24, 2026
- GitHub forks (simoncirstoiu/alice) · observed Sep 24, 2026
- Last push (simoncirstoiu/alice) · observed Apr 26, 2026
- License file (Other) · observed Sep 24, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: clip-as-service 13k · alice 410 (synced Sep 20, 2026).
Common questions
- What is the difference between clip-as-service and alice?
- clip-as-service: Scalable embedding, reasoning, ranking for images and sentences with CLIP. alice: AI-powered YOLO dataset management toolkit. See the comparison table for live GitHub stats and shared categories.
- When should I choose clip-as-service over alice?
- Choose clip-as-service over alice when clip-as-service is primarily Python; alice is JavaScript; Pricing: The repository does not provide specific pricing information for using clip-as-service.; Requirements: Min 4 GB RAM; The server requires Python 3.7+ and supports Pytorch, ONNX, and TensorRT runtimes.; The client can be installed independently and also requires Python 3.7+.; Tags unique to clip-as-service: bert, clip-as-service, clip-model, cross-modal-retrieval; When you need to leverage the CLIP model for cross-modal retrieval tasks involving both images and text.
- When should I choose alice over clip-as-service?
- Choose alice over clip-as-service when alice is primarily JavaScript; clip-as-service is Python; Tags unique to alice: ai-tools, annotation, computer-vision, dataset; alice ships Docker support for self-hosted deployment; When you need a toolkit that seamlessly integrates with Docker for dataset management in conjunction with YOLO models.
- When should I avoid clip-as-service?
- If you are looking for a solution that does not support the CLIP model specifically and requires a different model for embeddings. When you do not need the scalability provided by multiple runtimes and prefer a simpler setup. If you do not have access to or do not want to use Google Colab for hosting the server. When your project is not compatible with Python 3.7+ or you prefer a different programming language.
- When should I avoid alice?
- Do not use if your project does not require integration with the YOLO model for object detection tasks. Avoid if you prefer tools that handle NVIDIA drivers and CUDA toolkit installations automatically without requiring manual pre-installation by users.
- Is clip-as-service or alice more popular on GitHub?
- clip-as-service has more GitHub stars (12,833 vs 410). Stars measure visibility, not whether either tool fits your constraints.
- Are clip-as-service and alice open source?
- Yes - both are open-source projects on GitHub (clip-as-service: Other, alice: Other).
- Where can I find alternatives to clip-as-service or alice?
- GraphCanon lists graph-backed alternatives at clip-as-service alternatives and alice alternatives (clip-as-service markdown twin, alice 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, clip-as-service or alice?
- clip-as-service: Dormant. alice: Slowing. 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 clip-as-service and alice?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: clip-as-service trust report; alice trust report.