--- title: "botium-speech-processing vs sherpa-onnx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/codeforequity-at-botium-speech-processing-vs-k2-fsa-sherpa-onnx" tools: ["codeforequity-at-botium-speech-processing", "k2-fsa-sherpa-onnx"] --- # botium-speech-processing vs sherpa-onnx *GraphCanon updated Sep 20, 2026* ## Verdict Pick botium-speech-processing if botium Speech Processing uses Docker for managing speech-to-text and text-to-speech services with full and slim configurations; pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. [botium-speech-processing](https://www.botium.at) reports 943 GitHub stars, 56 forks, and 12 open issues, last pushed Sep 2, 2026. [sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) has 15k stars, 1.7k forks, and 620 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [botium-speech-processing's repository](https://github.com/codeforequity-at/botium-speech-processing) and [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx). | | [botium-speech-processing](/tools/codeforequity-at-botium-speech-processing.md) | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | | --- | --- | --- | | Tagline | Botium Speech Processing | Speech-to-text and related audio processing tools using ONNX with cross-platform support | | Stars | 943 | 14,860 | | Forks | 56 | 1,708 | | Open issues | 12 | 620 | | Language | JavaScript | C++ | | Adopt for | Botium Speech Processing uses Docker for managing speech-to-text and text-to-speech services with full and slim configurations | sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [botium-speech-processing](/tools/codeforequity-at-botium-speech-processing.md) | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 0d | | Open issues (now) | 12 | 620 | | Stars delta | 0 (30d) | +1.0k (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/codeforequity-at-botium-speech-processing/trust.md) | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | ## Decision facts: botium-speech-processing - **Adopt for:** Botium Speech Processing uses Docker for managing speech-to-text and text-to-speech services with full and slim configurations ## 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. ## Choose when ### Choose botium-speech-processing if… - botium-speech-processing is primarily JavaScript; sherpa-onnx is C++. - License: botium-speech-processing is MIT, sherpa-onnx is Apache-2.0. - Tags unique to botium-speech-processing: botium, cloud-deployment, docker, docker-compose. - botium-speech-processing ships Docker support for self-hosted deployment. - Need comprehensive speech-processing capabilities using prebuilt Docker images ### Choose sherpa-onnx if… - sherpa-onnx is primarily C++; botium-speech-processing is JavaScript. - License: sherpa-onnx is Apache-2.0, botium-speech-processing is MIT. - 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 NOT to use botium-speech-processing - Limited hardware, needing a setup with less than the required 8GB RAM and 40GB HD space - Not looking to use Docker or docker-compose for deployment purposes - Wanting flexibility outside of the provided configuration without additional build effort ## 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 ## Common questions ### What is the difference between botium-speech-processing and sherpa-onnx? botium-speech-processing: Botium Speech Processing. sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. See the comparison table for live GitHub stats and shared categories. ### When should I choose botium-speech-processing over sherpa-onnx? Choose botium-speech-processing over sherpa-onnx when botium-speech-processing is primarily JavaScript; sherpa-onnx is C++; License: botium-speech-processing is MIT, sherpa-onnx is Apache-2.0; Tags unique to botium-speech-processing: botium, cloud-deployment, docker, docker-compose; botium-speech-processing ships Docker support for self-hosted deployment; Need comprehensive speech-processing capabilities using prebuilt Docker images. ### When should I choose sherpa-onnx over botium-speech-processing? Choose sherpa-onnx over botium-speech-processing when sherpa-onnx is primarily C++; botium-speech-processing is JavaScript; License: sherpa-onnx is Apache-2.0, botium-speech-processing is MIT; 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 avoid botium-speech-processing? Limited hardware, needing a setup with less than the required 8GB RAM and 40GB HD space Not looking to use Docker or docker-compose for deployment purposes Wanting flexibility outside of the provided configuration without additional build effort ### 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 ### Is botium-speech-processing or sherpa-onnx more popular on GitHub? sherpa-onnx has more GitHub stars (14,860 vs 943). Stars measure visibility, not whether either tool fits your constraints. ### Are botium-speech-processing and sherpa-onnx open source? Yes - both are open-source projects on GitHub (botium-speech-processing: MIT, sherpa-onnx: Apache-2.0). ### Where can I find alternatives to botium-speech-processing or sherpa-onnx? GraphCanon lists graph-backed alternatives at [botium-speech-processing alternatives](/tools/codeforequity-at-botium-speech-processing/alternatives) and [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) ([botium-speech-processing markdown twin](/tools/codeforequity-at-botium-speech-processing/alternatives.md), [sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/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/codeforequity-at-botium-speech-processing-vs-k2-fsa-sherpa-onnx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, botium-speech-processing or sherpa-onnx? botium-speech-processing: Active. sherpa-onnx: Very active. 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 botium-speech-processing and sherpa-onnx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [botium-speech-processing trust report](/tools/codeforequity-at-botium-speech-processing/trust); [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=codeforequity-at-botium-speech-processing`](/api/graphcanon/graph?tool=codeforequity-at-botium-speech-processing) - 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/_