---
title: "quillman vs ASRT_SpeechRecognition"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/modal-labs-quillman-vs-nl8590687-asrt-speechrecognition"
tools: ["modal-labs-quillman", "nl8590687-asrt-speechrecognition"]
---

# quillman vs ASRT_SpeechRecognition

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick quillman when license: quillman is MIT, ASRT_SpeechRecognition is GPL-3.0; pick ASRT_SpeechRecognition when license: ASRT_SpeechRecognition is GPL-3.0, quillman is MIT.

[quillman](https://modal.com/docs/examples/llm-voice-chat) reports 1.2k GitHub stars, 158 forks, and 4 open issues, last pushed May 28, 2026. [ASRT_SpeechRecognition](https://www.ailemon.net/asrt) has 8.4k stars, 1.9k forks, and 115 open issues, last pushed Apr 10, 2026. Figures are from public GitHub metadata via [quillman's repository](https://github.com/modal-labs/quillman) and [ASRT_SpeechRecognition's repository](https://github.com/nl8590687/ASRT_SpeechRecognition).

| | [quillman](/tools/modal-labs-quillman.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) |
| --- | --- | --- |
| Tagline | A voice chat app | A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 |
| Stars | 1,210 | 8,372 |
| Forks | 158 | 1,898 |
| Open issues | 4 | 115 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | GPL-3.0 |
| Categories | Speech & Audio | Model Training, Speech & Audio |

## Trust and health

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

| | [quillman](/tools/modal-labs-quillman.md) | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 44d | 91d |
| Open issues (now) | 4 | 115 |
| Owner type | Organization | User |
| Security scan | No lockfile | 74 low (74 low) |
| Full report | [trust report](/tools/modal-labs-quillman/trust.md) | [trust report](/tools/nl8590687-asrt-speechrecognition/trust.md) |

## Choose when

### Choose quillman if…

- License: quillman is MIT, ASRT_SpeechRecognition is GPL-3.0.
- Tags unique to quillman: ai, speech-to-text, serverless, language-model.
- More recently updated (last pushed May 28, 2026).

### Choose ASRT_SpeechRecognition if…

- License: ASRT_SpeechRecognition is GPL-3.0, quillman is MIT.
- Tags unique to ASRT_SpeechRecognition: python3, chinese-speech-recognition, cnn, ctc.
- Also covers Model Training.
- ASRT_SpeechRecognition ships Docker support for self-hosted deployment.

## When NOT to use ASRT_SpeechRecognition

- Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## Common questions

### What is the difference between quillman and ASRT_SpeechRecognition?

quillman: A voice chat app. ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统. See the comparison table for live GitHub stats and shared categories.

### When should I choose quillman over ASRT_SpeechRecognition?

Choose quillman over ASRT_SpeechRecognition when License: quillman is MIT, ASRT_SpeechRecognition is GPL-3.0; Tags unique to quillman: ai, speech-to-text, serverless, language-model; More recently updated (last pushed May 28, 2026).

### When should I choose ASRT_SpeechRecognition over quillman?

Choose ASRT_SpeechRecognition over quillman when License: ASRT_SpeechRecognition is GPL-3.0, quillman is MIT; Tags unique to ASRT_SpeechRecognition: python3, chinese-speech-recognition, cnn, ctc; Also covers Model Training; ASRT_SpeechRecognition ships Docker support for self-hosted deployment.

### When should I avoid ASRT_SpeechRecognition?

Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is quillman or ASRT_SpeechRecognition more popular on GitHub?

ASRT_SpeechRecognition has more GitHub stars (8,372 vs 1,210). Stars measure visibility, not whether either tool fits your constraints.

### Are quillman and ASRT_SpeechRecognition open source?

Yes - both are open-source projects on GitHub (quillman: MIT, ASRT_SpeechRecognition: GPL-3.0).

### Where can I find alternatives to quillman or ASRT_SpeechRecognition?

GraphCanon lists graph-backed alternatives at [quillman alternatives](/tools/modal-labs-quillman/alternatives) and [ASRT_SpeechRecognition alternatives](/tools/nl8590687-asrt-speechrecognition/alternatives) ([quillman markdown twin](/tools/modal-labs-quillman/alternatives.md), [ASRT_SpeechRecognition markdown twin](/tools/nl8590687-asrt-speechrecognition/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/modal-labs-quillman-vs-nl8590687-asrt-speechrecognition.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, quillman or ASRT_SpeechRecognition?

quillman: Steady. ASRT_SpeechRecognition: 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 quillman and ASRT_SpeechRecognition?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [quillman trust report](/tools/modal-labs-quillman/trust); [ASRT_SpeechRecognition trust report](/tools/nl8590687-asrt-speechrecognition/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=modal-labs-quillman`](/api/graphcanon/graph?tool=modal-labs-quillman)
- 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/_
