Comparison
yalm vs whisper.cpp
Verdict
Pick yalm if yALM offers a no-frills LLM inference engine in C++/CUDA, optimized for tasks requiring minimal external dependencies beyond I/O and no reliance on heavyweight ML libraries; pick whisper.cpp if whisper.cpp is a C++ port of OpenAI's Whisper model, designed for speech-to-text tasks with a focus on inference. It is licensed under MIT and categorized under Speech & Audio.
Markdown twin · yalm alternatives · whisper.cpp alternatives
GraphCanon updated Sep 20, 2026
18views this month
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Trust & integrity
| Signal | yalm | whisper.cpp |
|---|---|---|
| Maintenance | Dormant (371d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- yalm
- LLM inference engine in C++/CUDA without dependency on external libraries except for I/O
- whisper.cpp
- C++ port of OpenAI's Whisper model for speech-to-text
Stars
- yalm
- 600
- whisper.cpp
- 54k
Forks
- yalm
- 65
- whisper.cpp
- 6.2k
Open issues
- yalm
- 4
- whisper.cpp
- 347
Language
- yalm
- C++
- whisper.cpp
- C++
Adopt for
- yalm
- YALM offers a no-frills LLM inference engine in C++/CUDA, optimized for tasks requiring minimal external dependencies beyond I/O and no reliance on heavyweight ML libraries.
- whisper.cpp
- whisper.cpp is a C++ port of OpenAI's Whisper model, designed for speech-to-text tasks with a focus on inference. It is licensed under MIT and categorized under Speech & Audio and Inference & Serving.
Persona
- yalm
- -
- whisper.cpp
- -
Runtime
- yalm
- -
- whisper.cpp
- -
License
- yalm
- -
- whisper.cpp
- MIT
Last pushed
- yalm
- Sep 13, 2025
- whisper.cpp
- Sep 18, 2026
Categories
- yalm
- Inference & Serving
- whisper.cpp
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- yalm
- Dormant (18%)
- whisper.cpp
- Very active (96%)
Days since push
- yalm
- 371d
- whisper.cpp
- 0d
Open issues (now)
- yalm
- 4
- whisper.cpp
- 347
Stars delta
- yalm
- +8 (30d)
- whisper.cpp
- +1.2k (30d)
Open issues delta
- yalm
- 0 (30d)
- whisper.cpp
- -881 (30d)
Owner type
- yalm
- User
- whisper.cpp
- Organization
Full report
- yalm
- Trust report
- whisper.cpp
- Trust report
Typed relationship
yalm alternative whisper.cppYALM focuses on LLM inference in C++/CUDA, similar to whisper.cpp which also focuses on efficient execution of models with C/C++.
Choose yalm if…
- YALM focuses on LLM inference in C++/CUDA, similar to whisper.cpp which also focuses on efficient execution of models with C/C++.
- Tags unique to yalm: cpp, cuda, llm-inference, machine-learning.
- When your project's stack is primarily based on C++ and CUDA, allowing seamless integration without additional dependencies
When NOT to use yalm
- If extensive functionality or ease of use from other ML libraries is required, as YALM does not support dependencies beyond I/O needs
- For developers who prefer tools with broader community support and more comprehensive feature sets, given that YALM specializes in a narrow scope
Choose whisper.cpp if…
- YALM focuses on LLM inference in C++/CUDA, similar to whisper.cpp which also focuses on efficient execution of models with C/C++.
- Tags unique to whisper.cpp: inference, openai, speech recognition, speech-to-text.
- Also covers Speech & Audio.
- Use whisper.cpp when you need a C++ implementation of the Whisper model for speech recognition and transcription tasks.
When NOT to use whisper.cpp
- Avoid using whisper.cpp if your project requires the full capabilities of the original Python implementation, including training or advanced model customization.
- Do not use this tool if you are working in a Python-centric environment where the overhead of integrating a C++ component outweighs the benefits.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (andrewkchan/yalm) · observed Sep 20, 2026
- GitHub forks (andrewkchan/yalm) · observed Sep 20, 2026
- Last push (andrewkchan/yalm) · observed Sep 13, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ggml-org/whisper.cpp) · observed Sep 20, 2026
- GitHub forks (ggml-org/whisper.cpp) · observed Sep 20, 2026
- Last push (ggml-org/whisper.cpp) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: yalm 600 · whisper.cpp 54k (synced Sep 20, 2026).
Common questions
- What is the difference between yalm and whisper.cpp?
- yalm: LLM inference engine in C++/CUDA without dependency on external libraries except for I/O. whisper.cpp: C++ port of OpenAI's Whisper model for speech-to-text. See the comparison table for live GitHub stats and shared categories.
- When should I choose yalm over whisper.cpp?
- Choose yalm over whisper.cpp when YALM focuses on LLM inference in C++/CUDA, similar to whisper.cpp which also focuses on efficient execution of models with C/C++; Tags unique to yalm: cpp, cuda, llm-inference, machine-learning; When your project's stack is primarily based on C++ and CUDA, allowing seamless integration without additional dependencies.
- When should I choose whisper.cpp over yalm?
- Choose whisper.cpp over yalm when YALM focuses on LLM inference in C++/CUDA, similar to whisper.cpp which also focuses on efficient execution of models with C/C++; Tags unique to whisper.cpp: inference, openai, speech recognition, speech-to-text; Also covers Speech & Audio; Use whisper.cpp when you need a C++ implementation of the Whisper model for speech recognition and transcription tasks.
- When should I avoid yalm?
- If extensive functionality or ease of use from other ML libraries is required, as YALM does not support dependencies beyond I/O needs For developers who prefer tools with broader community support and more comprehensive feature sets, given that YALM specializes in a narrow scope
- When should I avoid whisper.cpp?
- Avoid using whisper.cpp if your project requires the full capabilities of the original Python implementation, including training or advanced model customization. Do not use this tool if you are working in a Python-centric environment where the overhead of integrating a C++ component outweighs the benefits.
- Is yalm or whisper.cpp more popular on GitHub?
- whisper.cpp has more GitHub stars (53,742 vs 600). Stars measure visibility, not whether either tool fits your constraints.
- Are yalm and whisper.cpp open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to yalm or whisper.cpp?
- GraphCanon lists graph-backed alternatives at yalm alternatives and whisper.cpp alternatives (yalm markdown twin, whisper.cpp markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, yalm or whisper.cpp?
- yalm: Dormant. whisper.cpp: 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 yalm and whisper.cpp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: yalm trust report; whisper.cpp trust report.