---
title: "botium-speech-processing vs Fun-ASR"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/codeforequity-at-botium-speech-processing-vs-funaudiollm-fun-asr"
tools: ["codeforequity-at-botium-speech-processing", "funaudiollm-fun-asr"]
---

# botium-speech-processing vs Fun-ASR

*GraphCanon updated Jul 31, 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 Fun-ASR if fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization.

[botium-speech-processing](https://www.botium.at) reports 943 GitHub stars, 56 forks, and 12 open issues, last pushed Jun 25, 2026. [Fun-ASR](https://huggingface.co/spaces/FunAudioLLM/Fun-ASR-Nano) has 1.4k stars, 141 forks, and 0 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [botium-speech-processing's repository](https://github.com/codeforequity-at/botium-speech-processing) and [Fun-ASR's repository](https://github.com/FunAudioLLM/Fun-ASR).

| | [botium-speech-processing](/tools/codeforequity-at-botium-speech-processing.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) |
| --- | --- | --- |
| Tagline | Botium Speech Processing | Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks |
| Stars | 943 | 1,449 |
| Forks | 56 | 141 |
| Open issues | 12 | 0 |
| 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 | Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Speech & Audio | LLM Frameworks, Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [botium-speech-processing](/tools/codeforequity-at-botium-speech-processing.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 35d | 6d |
| Open issues (now) | 12 | 0 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/codeforequity-at-botium-speech-processing/trust.md) | [trust report](/tools/funaudiollm-fun-asr/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: Fun-ASR

- **Pricing:** freemium - Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.
- **Requirements:** Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.
- **Adopt for:** Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization.
- **License detail:** Apache-2.0

## Choose when

### Choose botium-speech-processing if…

- botium-speech-processing is primarily JavaScript; Fun-ASR is C.
- License: botium-speech-processing is MIT, Fun-ASR 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 Fun-ASR if…

- Fun-ASR is primarily C; botium-speech-processing is JavaScript.
- License: Fun-ASR is Apache-2.0, botium-speech-processing is MIT.
- Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms..
- Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0..
- Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr.
- Also covers LLM Frameworks.
- When you need support for 31 different languages including handling of various dialects and accents.

## 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 Fun-ASR

- Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C.
- If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications.

## Common questions

### What is the difference between botium-speech-processing and Fun-ASR?

botium-speech-processing: Botium Speech Processing. Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. See the comparison table for live GitHub stats and shared categories.

### When should I choose botium-speech-processing over Fun-ASR?

Choose botium-speech-processing over Fun-ASR when botium-speech-processing is primarily JavaScript; Fun-ASR is C; License: botium-speech-processing is MIT, Fun-ASR 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 Fun-ASR over botium-speech-processing?

Choose Fun-ASR over botium-speech-processing when Fun-ASR is primarily C; botium-speech-processing is JavaScript; License: Fun-ASR is Apache-2.0, botium-speech-processing is MIT; Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.; Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.; Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr; Also covers LLM Frameworks; When you need support for 31 different languages including handling of various dialects and accents.

### 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 Fun-ASR?

Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications.

### Is botium-speech-processing or Fun-ASR more popular on GitHub?

Fun-ASR has more GitHub stars (1,449 vs 943). Stars measure visibility, not whether either tool fits your constraints.

### Are botium-speech-processing and Fun-ASR open source?

Yes - both are open-source projects on GitHub (botium-speech-processing: MIT, Fun-ASR: Apache-2.0).

### Where can I find alternatives to botium-speech-processing or Fun-ASR?

GraphCanon lists graph-backed alternatives at [botium-speech-processing alternatives](/tools/codeforequity-at-botium-speech-processing/alternatives) and [Fun-ASR alternatives](/tools/funaudiollm-fun-asr/alternatives) ([botium-speech-processing markdown twin](/tools/codeforequity-at-botium-speech-processing/alternatives.md), [Fun-ASR markdown twin](/tools/funaudiollm-fun-asr/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-funaudiollm-fun-asr.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 Fun-ASR?

botium-speech-processing: Steady. Fun-ASR: 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 Fun-ASR?

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); [Fun-ASR trust report](/tools/funaudiollm-fun-asr/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/_
