--- title: "segment-anything vs Ask-Anything" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-segment-anything-vs-opengvlab-ask-anything" tools: ["facebookresearch-segment-anything", "opengvlab-ask-anything"] --- # segment-anything vs Ask-Anything *GraphCanon updated Jul 12, 2026* ## Verdict Pick segment-anything when segment-anything is primarily Jupyter Notebook; Ask-Anything is Python; pick Ask-Anything when ask-Anything is primarily Python; segment-anything is Jupyter Notebook. [segment-anything](https://github.com/facebookresearch/segment-anything) reports 55k GitHub stars, 6.4k forks, and 595 open issues, last pushed Sep 18, 2024. [Ask-Anything](https://vchat.opengvlab.com/) has 3.3k stars, 268 forks, and 76 open issues, last pushed Jan 18, 2025. Figures are from public GitHub metadata via [segment-anything's repository](https://github.com/facebookresearch/segment-anything) and [Ask-Anything's repository](https://github.com/OpenGVLab/Ask-Anything). | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [Ask-Anything](/tools/opengvlab-ask-anything.md) | | --- | --- | --- | | Tagline | Repository providing code for running inference with the SegmentAnything Model (SAM) | [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS. | | Stars | 54,520 | 3,343 | | Forks | 6,354 | 268 | | Open issues | 595 | 76 | | Language | Jupyter Notebook | Python | | Adopt for | - | Ask-Anything is a chatbot framework using large language models to understand and caption videos or answer video-related questions. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Inference & Serving | Model Training, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [segment-anything](/tools/facebookresearch-segment-anything.md) | [Ask-Anything](/tools/opengvlab-ask-anything.md) | | --- | --- | --- | | Days since push | 661d | 538d | | Open issues (now) | 595 | 76 | | Full report | [trust report](/tools/facebookresearch-segment-anything/trust.md) | [trust report](/tools/opengvlab-ask-anything/trust.md) | ## Decision facts: Ask-Anything - **Pricing:** freemium - **Requirements:** Python environment; Support for large language models such as miniGPT4, ChatGPT, StableLM, and MOSS - **Adopt for:** Ask-Anything is a chatbot framework using large language models to understand and caption videos or answer video-related questions. ## Choose when ### Choose segment-anything if… - segment-anything is primarily Jupyter Notebook; Ask-Anything is Python. - License: segment-anything is Apache-2.0, Ask-Anything is MIT. - Tags unique to segment-anything: image processing, notebooks, segmentation, inference. - Also covers Inference & Serving. ### Choose Ask-Anything if… - Ask-Anything is primarily Python; segment-anything is Jupyter Notebook. - License: Ask-Anything is MIT, segment-anything is Apache-2.0. - Requirements: Python environment; Support for large language models such as miniGPT4, ChatGPT, StableLM, and MOSS. - Tags unique to Ask-Anything: chat, captioning-videos, big-model, large-language-models. - Also covers LLM Frameworks, Vector Databases. - Use it for tasks requiring detailed and accurate understanding of video content, such as captioning and answering complex questions based on the video. ## When NOT to use segment-anything - Last GitHub push was 661 days ago (dormant maintenance, Sep 18, 2024). Validate activity before betting a new project on segment-anything. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use Ask-Anything - Avoid using Ask-Anything for scenarios where real-time low-latency response is critical, as the framework may have inherent latency due to video processing. - Do not use it in situations where only text-based interactions without multimedia support are required, as other simpler chatbot frameworks might suffice. ## Common questions ### What is the difference between segment-anything and Ask-Anything? segment-anything: Repository providing code for running inference with the SegmentAnything Model (SAM). Ask-Anything: [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.. See the comparison table for live GitHub stats and shared categories. ### When should I choose segment-anything over Ask-Anything? Choose segment-anything over Ask-Anything when segment-anything is primarily Jupyter Notebook; Ask-Anything is Python; License: segment-anything is Apache-2.0, Ask-Anything is MIT; Tags unique to segment-anything: image processing, notebooks, segmentation, inference; Also covers Inference & Serving. ### When should I choose Ask-Anything over segment-anything? Choose Ask-Anything over segment-anything when Ask-Anything is primarily Python; segment-anything is Jupyter Notebook; License: Ask-Anything is MIT, segment-anything is Apache-2.0; Requirements: Python environment; Support for large language models such as miniGPT4, ChatGPT, StableLM, and MOSS; Tags unique to Ask-Anything: chat, captioning-videos, big-model, large-language-models; Also covers LLM Frameworks, Vector Databases; Use it for tasks requiring detailed and accurate understanding of video content, such as captioning and answering complex questions based on the video. ### When should I avoid segment-anything? Last GitHub push was 661 days ago (dormant maintenance, Sep 18, 2024). Validate activity before betting a new project on segment-anything. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid Ask-Anything? Avoid using Ask-Anything for scenarios where real-time low-latency response is critical, as the framework may have inherent latency due to video processing. Do not use it in situations where only text-based interactions without multimedia support are required, as other simpler chatbot frameworks might suffice. ### Is segment-anything or Ask-Anything more popular on GitHub? segment-anything has more GitHub stars (54,520 vs 3,343). Stars measure visibility, not whether either tool fits your constraints. ### Are segment-anything and Ask-Anything open source? Yes - both are open-source projects on GitHub (segment-anything: Apache-2.0, Ask-Anything: MIT). ### Where can I find alternatives to segment-anything or Ask-Anything? GraphCanon lists graph-backed alternatives at [segment-anything alternatives](/tools/facebookresearch-segment-anything/alternatives) and [Ask-Anything alternatives](/tools/opengvlab-ask-anything/alternatives) ([segment-anything markdown twin](/tools/facebookresearch-segment-anything/alternatives.md), [Ask-Anything markdown twin](/tools/opengvlab-ask-anything/alternatives.md)), 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](/compare/facebookresearch-segment-anything-vs-opengvlab-ask-anything.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, segment-anything or Ask-Anything? segment-anything: Dormant. Ask-Anything: 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 segment-anything and Ask-Anything? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [segment-anything trust report](/tools/facebookresearch-segment-anything/trust); [Ask-Anything trust report](/tools/opengvlab-ask-anything/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=facebookresearch-segment-anything`](/api/graphcanon/graph?tool=facebookresearch-segment-anything) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_