Comparison
segment-anything vs catai
Verdict
Pick segment-anything if an AI tool for segmentation tasks offering pre-trained models and straightforward integration methods; pick catai if catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API.
Markdown twin · segment-anything alternatives · catai alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | segment-anything | catai |
|---|---|---|
| Maintenance | Dormant (682d since push) As of 3w · github_public_v1 | Slowing (269d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · 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
- segment-anything
- Provides code for running inference with the SegmentAnything Model (SAM).
- catai
- Run AI assistant locally with Node.js
Stars
- segment-anything
- 55k
- catai
- 498
Forks
- segment-anything
- 6.4k
- catai
- 39
Open issues
- segment-anything
- 595
- catai
- 2
Language
- segment-anything
- Jupyter Notebook
- catai
- TypeScript
Adopt for
- segment-anything
- An AI tool for segmentation tasks offering pre-trained models and straightforward integration methods.
- catai
- catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API.
Persona
- segment-anything
- -
- catai
- -
Runtime
- segment-anything
- -
- catai
- -
License
- segment-anything
- Apache 2.0 license, permitting free use, modification, and distribution of the source code without requiring derivative works to maintain the same license.
- catai
- MIT
Last pushed
- segment-anything
- Sep 18, 2024
- catai
- Nov 16, 2025
Categories
- segment-anything
- Inference & Serving
- catai
- AI Agents, Inference & Serving
Trust and health
Maintenance
- segment-anything
- Dormant (18%)
- catai
- Slowing (36%)
Days since push
- segment-anything
- 682d
- catai
- 269d
Open issues (now)
- segment-anything
- 595
- catai
- 2
Full report
- segment-anything
- Trust report
- catai
- Trust report
Choose segment-anything if…
- segment-anything is primarily Jupyter Notebook; catai is TypeScript.
- License: segment-anything is Apache-2.0, catai is MIT.
- Requirements: Min 8 GB RAM; Requires Python >=3.8, PyTorch >=1.7 with CUDA recommended for faster performance; Optional dependencies such as OpenCV and ONNX may further enhance functionality but are not always necessary for basic use..
- Tags unique to segment-anything: image-processing, jupyter-notebook, machine-learning, pytorch.
- When you need precise segmentation in images with varied objects or regions, as SAM provides high-quality mask generation from prompts.
When NOT to use segment-anything
- Avoid using SAM if your project's constraints specifically require real-time performance since running inference demands significant computational resources.
- Do not choose this tool when a lightweight or resource-efficient solution is needed, as it relies on heavyweight pre-trained models that may be unsuitable for devices with limited computing power.
Choose catai if…
- catai is primarily TypeScript; segment-anything is Jupyter Notebook.
- License: catai is MIT, segment-anything is Apache-2.0.
- Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp.
- Also covers AI Agents.
- - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities.
When NOT to use catai
- - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only.
- - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (facebookresearch/segment-anything) · observed Aug 1, 2026
- GitHub forks (facebookresearch/segment-anything) · observed Aug 1, 2026
- Last push (facebookresearch/segment-anything) · observed Sep 18, 2024
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (withcatai/catai) · observed Aug 13, 2026
- GitHub forks (withcatai/catai) · observed Aug 13, 2026
- Last push (withcatai/catai) · observed Nov 16, 2025
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: segment-anything 55k · catai 498 (synced Aug 1, 2026).
Common questions
- What is the difference between segment-anything and catai?
- segment-anything: Provides code for running inference with the SegmentAnything Model (SAM).. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories.
- When should I choose segment-anything over catai?
- Choose segment-anything over catai when segment-anything is primarily Jupyter Notebook; catai is TypeScript; License: segment-anything is Apache-2.0, catai is MIT; Requirements: Min 8 GB RAM; Requires Python >=3.8, PyTorch >=1.7 with CUDA recommended for faster performance; Optional dependencies such as OpenCV and ONNX may further enhance functionality but are not always necessary for basic use.; Tags unique to segment-anything: image-processing, jupyter-notebook, machine-learning, pytorch; When you need precise segmentation in images with varied objects or regions, as SAM provides high-quality mask generation from prompts.
- When should I choose catai over segment-anything?
- Choose catai over segment-anything when catai is primarily TypeScript; segment-anything is Jupyter Notebook; License: catai is MIT, segment-anything is Apache-2.0; Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp; Also covers AI Agents; - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities.
- When should I avoid segment-anything?
- Avoid using SAM if your project's constraints specifically require real-time performance since running inference demands significant computational resources. Do not choose this tool when a lightweight or resource-efficient solution is needed, as it relies on heavyweight pre-trained models that may be unsuitable for devices with limited computing power.
- When should I avoid catai?
- - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API.
- Is segment-anything or catai more popular on GitHub?
- segment-anything has more GitHub stars (54,630 vs 498). Stars measure visibility, not whether either tool fits your constraints.
- Are segment-anything and catai open source?
- Yes - both are open-source projects on GitHub (segment-anything: Apache-2.0, catai: MIT).
- Where can I find alternatives to segment-anything or catai?
- GraphCanon lists graph-backed alternatives at segment-anything alternatives and catai alternatives (segment-anything markdown twin, catai 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, segment-anything or catai?
- segment-anything: Dormant. catai: 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 segment-anything and catai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: segment-anything trust report; catai trust report.