--- title: "sherpa-onnx vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/k2-fsa-sherpa-onnx-vs-sindresorhus-awesome-whisper" tools: ["k2-fsa-sherpa-onnx", "sindresorhus-awesome-whisper"] --- # sherpa-onnx vs awesome-whisper *GraphCanon updated Jul 30, 2026* ## Verdict Pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages; 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. [sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) reports 14k GitHub stars, 1.6k forks, and 617 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 [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | Speech-to-text and related audio processing tools using ONNX with cross-platform support | Curated resources for Whisper speech recognition system | | Stars | 13,842 | 2,361 | | Forks | 1,596 | 156 | | Open issues | 617 | 7 | | Language | C++ | - | | Adopt for | sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. | 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 | Apache-2.0 | CC0-1.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 134d | | Open issues (now) | 617 | 7 | | Owner type | Organization | User | | Full report | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Decision facts: sherpa-onnx - **Adopt for:** sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. ## 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 sherpa-onnx if… - License: sherpa-onnx is Apache-2.0, awesome-whisper is CC0-1.0. - Tags unique to sherpa-onnx: aarch64, android, arm32, asr. - When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, sherpa-onnx is Apache-2.0. - 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 sherpa-onnx - If your project strictly requires real-time web service interaction or server-based speech-to-text solutions - When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ## 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 sherpa-onnx and awesome-whisper? sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories. ### When should I choose sherpa-onnx over awesome-whisper? Choose sherpa-onnx over awesome-whisper when License: sherpa-onnx is Apache-2.0, awesome-whisper is CC0-1.0; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend. ### When should I choose awesome-whisper over sherpa-onnx? Choose awesome-whisper over sherpa-onnx when License: awesome-whisper is CC0-1.0, sherpa-onnx is Apache-2.0; 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 sherpa-onnx? If your project strictly requires real-time web service interaction or server-based speech-to-text solutions When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ### 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 sherpa-onnx or awesome-whisper more popular on GitHub? sherpa-onnx has more GitHub stars (13,842 vs 2,361). Stars measure visibility, not whether either tool fits your constraints. ### Are sherpa-onnx and awesome-whisper open source? Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, awesome-whisper: CC0-1.0). ### Where can I find alternatives to sherpa-onnx or awesome-whisper? GraphCanon lists graph-backed alternatives at [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/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/k2-fsa-sherpa-onnx-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, sherpa-onnx or awesome-whisper? sherpa-onnx: 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 sherpa-onnx and awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx`](/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx) - 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/_