--- title: "hyprwhspr vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/goodroot-hyprwhspr-vs-sindresorhus-awesome-whisper" tools: ["goodroot-hyprwhspr", "sindresorhus-awesome-whisper"] --- # hyprwhspr vs awesome-whisper *GraphCanon updated Jul 31, 2026* ## Verdict Pick hyprwhspr if hyprwhspr is a native speech-to-text tool for Linux that prioritises privacy and system-wide dictation capabilities; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. [hyprwhspr](https://hyprwhspr.com) reports 1.1k GitHub stars, 89 forks, and 3 open issues, last pushed Jul 29, 2026. [awesome-whisper](https://github.com/sindresorhus/awesome-whisper) has 2.4k stars, 156 forks, and 7 open issues, last pushed Mar 17, 2026. Figures are from public GitHub metadata via [hyprwhspr's repository](https://github.com/goodroot/hyprwhspr) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [hyprwhspr](/tools/goodroot-hyprwhspr.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | Native speech-to-text solution for Linux | Curated resources for Whisper speech recognition system | | Stars | 1,122 | 2,361 | | Forks | 89 | 156 | | Open issues | 3 | 7 | | Language | Python | - | | Adopt for | Hyprwhspr is a native speech-to-text tool for Linux that prioritises privacy and system-wide dictation capabilities. | awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hyprwhspr](/tools/goodroot-hyprwhspr.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 134d | | Open issues (now) | 3 | 7 | | Full report | [trust report](/tools/goodroot-hyprwhspr/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Decision facts: hyprwhspr - **Adopt for:** Hyprwhspr is a native speech-to-text tool for Linux that prioritises privacy and system-wide dictation capabilities. ## Decision facts: awesome-whisper - **Adopt for:** awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. ## Choose when ### Choose hyprwhspr if… - License: hyprwhspr is MIT, awesome-whisper is CC0-1.0. - Tags unique to hyprwhspr: dictation, linux, multiple_distributions, privacy. - Linux users require a fast, accurate speech-to-text solution with strong privacy features ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, hyprwhspr is MIT. - Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai. - When seeking curated information on Whisper variants optimized for various platforms and languages ## When NOT to use hyprwhspr - Development teams require real-time collaboration on transcriptions across platforms other than Linux - Organisations have concerns about dependency management for specific Linux distros ## When NOT to use awesome-whisper - If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem - In cases where the focus is on using pre-integrated solutions without the need for model customization ## Common questions ### What is the difference between hyprwhspr and awesome-whisper? hyprwhspr: Native speech-to-text solution for Linux. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories. ### When should I choose hyprwhspr over awesome-whisper? Choose hyprwhspr over awesome-whisper when License: hyprwhspr is MIT, awesome-whisper is CC0-1.0; Tags unique to hyprwhspr: dictation, linux, multiple_distributions, privacy; Linux users require a fast, accurate speech-to-text solution with strong privacy features. ### When should I choose awesome-whisper over hyprwhspr? Choose awesome-whisper over hyprwhspr when License: awesome-whisper is CC0-1.0, hyprwhspr is MIT; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages. ### When should I avoid hyprwhspr? Development teams require real-time collaboration on transcriptions across platforms other than Linux Organisations have concerns about dependency management for specific Linux distros ### When should I avoid awesome-whisper? If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization ### Is hyprwhspr or awesome-whisper more popular on GitHub? awesome-whisper has more GitHub stars (2,361 vs 1,122). Stars measure visibility, not whether either tool fits your constraints. ### Are hyprwhspr and awesome-whisper open source? Yes - both are open-source projects on GitHub (hyprwhspr: MIT, awesome-whisper: CC0-1.0). ### Where can I find alternatives to hyprwhspr or awesome-whisper? GraphCanon lists graph-backed alternatives at [hyprwhspr alternatives](/tools/goodroot-hyprwhspr/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([hyprwhspr markdown twin](/tools/goodroot-hyprwhspr/alternatives.md), [awesome-whisper markdown twin](/tools/sindresorhus-awesome-whisper/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-sindresorhus-awesome-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hyprwhspr or awesome-whisper? hyprwhspr: Very active. awesome-whisper: 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 awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hyprwhspr trust report](/tools/goodroot-hyprwhspr/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/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/_