--- title: "hyprwhspr vs ASRT_SpeechRecognition" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/goodroot-hyprwhspr-vs-nl8590687-asrt-speechrecognition" tools: ["goodroot-hyprwhspr", "nl8590687-asrt-speechrecognition"] --- # hyprwhspr vs ASRT_SpeechRecognition *GraphCanon updated Jul 11, 2026* ## Verdict Pick hyprwhspr when license: hyprwhspr is MIT, ASRT_SpeechRecognition is GPL-3.0; pick ASRT_SpeechRecognition when license: ASRT_SpeechRecognition is GPL-3.0, hyprwhspr is MIT. [hyprwhspr](https://hyprwhspr.com) reports 1.1k GitHub stars, 83 forks, and 2 open issues, last pushed Jul 8, 2026. [ASRT_SpeechRecognition](https://www.ailemon.net/asrt) has 8.4k stars, 1.9k forks, and 115 open issues, last pushed Apr 10, 2026. Figures are from public GitHub metadata via [hyprwhspr's repository](https://github.com/goodroot/hyprwhspr) and [ASRT_SpeechRecognition's repository](https://github.com/nl8590687/ASRT_SpeechRecognition). | | [hyprwhspr](/tools/goodroot-hyprwhspr.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | | --- | --- | --- | | Tagline | Native speech-to-text for Linux - Fast, accurate and private system-wide dictation | A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 | | Stars | 1,081 | 8,372 | | Forks | 83 | 1,898 | | Open issues | 2 | 115 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 | | Categories | Speech & Audio | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hyprwhspr](/tools/goodroot-hyprwhspr.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 91d | | Open issues (now) | 2 | 115 | | Security scan | 3 low (3 low) | 74 low (74 low) | | Full report | [trust report](/tools/goodroot-hyprwhspr/trust.md) | [trust report](/tools/nl8590687-asrt-speechrecognition/trust.md) | ## Choose when ### Choose hyprwhspr if… - License: hyprwhspr is MIT, ASRT_SpeechRecognition is GPL-3.0. - Tags unique to hyprwhspr: ai, archlinux, cachyos, cohere-ai. - More recently updated (last pushed Jul 8, 2026). ### Choose ASRT_SpeechRecognition if… - License: ASRT_SpeechRecognition is GPL-3.0, hyprwhspr is MIT. - Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc. - Also covers Model Training. - ASRT_SpeechRecognition ships Docker support for self-hosted deployment. ## When NOT to use ASRT_SpeechRecognition - Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between hyprwhspr and ASRT_SpeechRecognition? hyprwhspr: Native speech-to-text for Linux - Fast, accurate and private system-wide dictation. ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统. See the comparison table for live GitHub stats and shared categories. ### When should I choose hyprwhspr over ASRT_SpeechRecognition? Choose hyprwhspr over ASRT_SpeechRecognition when License: hyprwhspr is MIT, ASRT_SpeechRecognition is GPL-3.0; Tags unique to hyprwhspr: ai, archlinux, cachyos, cohere-ai; More recently updated (last pushed Jul 8, 2026). ### When should I choose ASRT_SpeechRecognition over hyprwhspr? Choose ASRT_SpeechRecognition over hyprwhspr when License: ASRT_SpeechRecognition is GPL-3.0, hyprwhspr is MIT; Tags unique to ASRT_SpeechRecognition: asrt, chinese-speech-recognition, cnn, ctc; Also covers Model Training; ASRT_SpeechRecognition ships Docker support for self-hosted deployment. ### When should I avoid ASRT_SpeechRecognition? Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is hyprwhspr or ASRT_SpeechRecognition more popular on GitHub? ASRT_SpeechRecognition has more GitHub stars (8,372 vs 1,081). Stars measure visibility, not whether either tool fits your constraints. ### Are hyprwhspr and ASRT_SpeechRecognition open source? Yes - both are open-source projects on GitHub (hyprwhspr: MIT, ASRT_SpeechRecognition: GPL-3.0). ### Where can I find alternatives to hyprwhspr or ASRT_SpeechRecognition? GraphCanon lists graph-backed alternatives at [hyprwhspr alternatives](/tools/goodroot-hyprwhspr/alternatives) and [ASRT_SpeechRecognition alternatives](/tools/nl8590687-asrt-speechrecognition/alternatives) ([hyprwhspr markdown twin](/tools/goodroot-hyprwhspr/alternatives.md), [ASRT_SpeechRecognition markdown twin](/tools/nl8590687-asrt-speechrecognition/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/goodroot-hyprwhspr-vs-nl8590687-asrt-speechrecognition.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hyprwhspr or ASRT_SpeechRecognition? hyprwhspr: Very active. ASRT_SpeechRecognition: 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 hyprwhspr and ASRT_SpeechRecognition? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hyprwhspr trust report](/tools/goodroot-hyprwhspr/trust); [ASRT_SpeechRecognition trust report](/tools/nl8590687-asrt-speechrecognition/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=goodroot-hyprwhspr`](/api/graphcanon/graph?tool=goodroot-hyprwhspr) - 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/_