--- title: "whisperX vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/m-bain-whisperx-vs-sindresorhus-awesome-whisper" tools: ["m-bain-whisperx", "sindresorhus-awesome-whisper"] --- # whisperX vs awesome-whisper *GraphCanon updated Jul 30, 2026* ## Verdict Pick whisperX if whisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python; 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. [whisperX](https://github.com/m-bain/whisperX) reports 23k GitHub stars, 2.4k forks, and 207 open issues, last pushed Jul 13, 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 [whisperX's repository](https://github.com/m-bain/whisperX) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [whisperX](/tools/m-bain-whisperx.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | WhisperX for automatic speech recognition with word-level timestamps and diarization | Curated resources for Whisper speech recognition system | | Stars | 23,329 | 2,361 | | Forks | 2,361 | 156 | | Open issues | 207 | 7 | | Language | Python | - | | Adopt for | WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. | 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 | BSD-2-Clause | CC0-1.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whisperX](/tools/m-bain-whisperx.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 16d | 134d | | Open issues (now) | 207 | 7 | | Full report | [trust report](/tools/m-bain-whisperx/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Decision facts: whisperX - **Adopt for:** WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. ## 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 whisperX if… - License: whisperX is BSD-2-Clause, awesome-whisper is CC0-1.0. - Tags unique to whisperX: asr, speech, speech-recognition, whisper. - When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, whisperX is BSD-2-Clause. - 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 whisperX - Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. - Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant. ## 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 whisperX and awesome-whisper? whisperX: WhisperX for automatic speech recognition with word-level timestamps and diarization. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories. ### When should I choose whisperX over awesome-whisper? Choose whisperX over awesome-whisper when License: whisperX is BSD-2-Clause, awesome-whisper is CC0-1.0; Tags unique to whisperX: asr, speech, speech-recognition, whisper; When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ### When should I choose awesome-whisper over whisperX? Choose awesome-whisper over whisperX when License: awesome-whisper is CC0-1.0, whisperX is BSD-2-Clause; 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 whisperX? Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant. ### 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 whisperX or awesome-whisper more popular on GitHub? whisperX has more GitHub stars (23,329 vs 2,361). Stars measure visibility, not whether either tool fits your constraints. ### Are whisperX and awesome-whisper open source? Yes - both are open-source projects on GitHub (whisperX: BSD-2-Clause, awesome-whisper: CC0-1.0). ### Where can I find alternatives to whisperX or awesome-whisper? GraphCanon lists graph-backed alternatives at [whisperX alternatives](/tools/m-bain-whisperx/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([whisperX markdown twin](/tools/m-bain-whisperx/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/m-bain-whisperx-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, whisperX or awesome-whisper? whisperX: 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 whisperX and awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisperX trust report](/tools/m-bain-whisperx/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=m-bain-whisperx`](/api/graphcanon/graph?tool=m-bain-whisperx) - 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/_