Home/Compare/llamafile vs faster-whisper

Comparison

llamafile vs faster-whisper

Verdict

Pick llamafile when llamafile is primarily C++; faster-whisper is Python; pick faster-whisper when faster-whisper is primarily Python; llamafile is C++.

Markdown twin · llamafile alternatives · faster-whisper alternatives

GraphCanon updated today

llamafile logo

llamafile

mozilla-ai/llamafile

25kpushed Jul 2, 2026
vs
faster-whisper logo

faster-whisper

SYSTRAN/faster-whisper

24kpushed Nov 19, 2025

Trust & integrity

Signalllamafilefaster-whisper
Maintenance
Active (8d since push)
As of today · github_public_v1
Slowing (234d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No criticals
As of today · osv@v1

Tagline

llamafile
Distribute and run LLMs with a single file.
faster-whisper
Faster Whisper transcription with CTranslate2

Stars

llamafile
25k
faster-whisper
24k

Forks

llamafile
1.6k
faster-whisper
2.0k

Open issues

llamafile
212
faster-whisper
311

Language

llamafile
C++
faster-whisper
Python

Adopt for

llamafile
-
faster-whisper
A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.

Persona

llamafile
-
faster-whisper
-

Runtime

llamafile
-
faster-whisper
-

License

llamafile
Other
faster-whisper
MIT

Last pushed

llamafile
Jul 2, 2026
faster-whisper
Nov 19, 2025

Categories

llamafile
Inference & Serving, LLM Frameworks, Speech & Audio
faster-whisper
Inference & Serving, Speech & Audio

Trust and health

Maintenance

llamafile
Active (82%)
faster-whisper
Slowing (36%)

Days since push

llamafile
8d
faster-whisper
234d

Open issues (now)

llamafile
212
faster-whisper
311

Security scan

llamafile
No lockfile
faster-whisper
No criticals

Full report

llamafile
Trust report
faster-whisper
Trust report

Choose llamafile if…

  • llamafile is primarily C++; faster-whisper is Python.
  • License: llamafile is Other, faster-whisper is MIT.
  • Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai.
  • Also covers LLM Frameworks.

When NOT to use llamafile

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose faster-whisper if…

  • faster-whisper is primarily Python; llamafile is C++.
  • License: faster-whisper is MIT, llamafile is Other.
  • Requirements: Requires Python 3.9 or higher.
  • Tags unique to faster-whisper: deep-learning, inference, openai, quantization.
  • A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.

When NOT to use faster-whisper

  • * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV.
  • * In environments where additional dependencies from PyAV may introduce complexity or issues.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: llamafile 25k · faster-whisper 24k (synced Jul 11, 2026).

Common questions

What is the difference between llamafile and faster-whisper?
llamafile: Distribute and run LLMs with a single file.. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
When should I choose llamafile over faster-whisper?
Choose llamafile over faster-whisper when llamafile is primarily C++; faster-whisper is Python; License: llamafile is Other, faster-whisper is MIT; Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai; Also covers LLM Frameworks.
When should I choose faster-whisper over llamafile?
Choose faster-whisper over llamafile when faster-whisper is primarily Python; llamafile is C++; License: faster-whisper is MIT, llamafile is Other; Requirements: Requires Python 3.9 or higher; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
When should I avoid llamafile?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid faster-whisper?
* When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. * In environments where additional dependencies from PyAV may introduce complexity or issues.
Is llamafile or faster-whisper more popular on GitHub?
llamafile has more GitHub stars (25,361 vs 24,214). Stars measure visibility, not whether either tool fits your constraints.
Are llamafile and faster-whisper open source?
Yes - both are open-source projects on GitHub (llamafile: Other, faster-whisper: MIT).
Where can I find alternatives to llamafile or faster-whisper?
GraphCanon lists graph-backed alternatives at llamafile alternatives and faster-whisper alternatives (llamafile markdown twin, faster-whisper 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, llamafile or faster-whisper?
llamafile: Active. faster-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 llamafile and faster-whisper?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llamafile trust report; faster-whisper trust report.