Comparison
CTranslate2 vs faster-whisper
Verdict
Pick CTranslate2 if cTranslate2 is a fast inference engine for Transformer models, optimized for various hardware accelerations and written in C++; pick faster-whisper if faster Whisper is a Python library for fast speech-to-text transcription using Whisper models with CTranslate2 for inference, offering an alternative to installing FFmpeg by bundling FFmpeg libraries with PyAV.
Markdown twin · CTranslate2 alternatives · faster-whisper alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | CTranslate2 | faster-whisper |
|---|---|---|
| Maintenance | Active (17d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (302d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 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 Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Published findings As of Oct 11, 2026 · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- CTranslate2
- Fast inference engine for Transformer models
- faster-whisper
- Faster Whisper transcription with CTranslate2
Stars
- CTranslate2
- 4.7k
- faster-whisper
- 25k
Forks
- CTranslate2
- 534
- faster-whisper
- 2.1k
Open issues
- CTranslate2
- 286
- faster-whisper
- 323
Language
- CTranslate2
- C++
- faster-whisper
- Python
Adopt for
- CTranslate2
- CTranslate2 is a fast inference engine for Transformer models, optimized for various hardware accelerations and written in C++.
- faster-whisper
- Faster Whisper is a Python library for fast speech-to-text transcription using Whisper models with CTranslate2 for inference, offering an alternative to installing FFmpeg by bundling FFmpeg libraries with PyAV.
Persona
- CTranslate2
- -
- faster-whisper
- -
Runtime
- CTranslate2
- -
- faster-whisper
- -
License
- CTranslate2
- CTranslate2 is available under the MIT license, allowing for free use and modification.
- faster-whisper
- MIT
Last pushed
- CTranslate2
- Aug 31, 2026
- faster-whisper
- Nov 19, 2025
Categories
- CTranslate2
- Inference & Serving
- faster-whisper
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- CTranslate2
- Active (82%)
- faster-whisper
- Slowing (36%)
Days since push
- CTranslate2
- 17d
- faster-whisper
- 302d
Open issues (now)
- CTranslate2
- 286
- faster-whisper
- 323
Stars delta
- CTranslate2
- +73 (30d)
- faster-whisper
- +762 (30d)
Open issues delta
- CTranslate2
- +9 (30d)
- faster-whisper
- +8 (30d)
OSV dependency advisories
- CTranslate2
- No lockfile (source not queried)
- faster-whisper
- No published findings from this source as of 2026-09-18
OpenSSF Scorecard
- CTranslate2
- Published findings
- faster-whisper
- Not queried
Full report
- CTranslate2
- Trust report
- faster-whisper
- Trust report
Shared compatibility
- Python · CTranslate2: Python runtime · faster-whisper: Python runtime
Choose CTranslate2 if…
- CTranslate2 is primarily C++; faster-whisper is Python.
- Requirements: Min 2 GB RAM; CTranslate2 can be installed via pip, and specific Python wheels are available for AMD ROCm GPUs..
- Tags unique to CTranslate2: avx, avx2, cpp, cuda.
- When you need fast inference for Transformer models with support for hardware accelerations like AVX, AVX2, CUDA, and ROCm.
When NOT to use CTranslate2
- If your hardware does not support the specific accelerations CTranslate2 offers, such as AVX, AVX2, CUDA, or ROCm.
- When you prefer a tool that is not written in C++ and does not require a C++ runtime environment.
- If your project does not benefit from the specific optimizations like intrinsics, GEMM, or quantization that CTranslate2 provides.
Choose faster-whisper if…
- faster-whisper is primarily Python; CTranslate2 is C++.
- Requirements: Requires Python 3.9 or greater..
- Tags unique to faster-whisper: openai, quantization, speech recognition, speech-to-text.
- Also covers Speech & Audio.
- When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
When NOT to use faster-whisper
- When your project strictly requires the use of FFmpeg for audio decoding, as Faster Whisper uses PyAV for this purpose.
- When you are working in an environment where Python 3.9 or greater is not available, as this is a requirement for using Faster Whisper.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (OpenNMT/CTranslate2) · observed Sep 20, 2026
- GitHub forks (OpenNMT/CTranslate2) · observed Sep 20, 2026
- Last push (OpenNMT/CTranslate2) · observed Aug 31, 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 (SYSTRAN/faster-whisper) · observed Sep 20, 2026
- GitHub forks (SYSTRAN/faster-whisper) · observed Sep 20, 2026
- Last push (SYSTRAN/faster-whisper) · observed Nov 19, 2025
- 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: CTranslate2 4.7k · faster-whisper 25k (synced Sep 20, 2026).
Common questions
- What is the difference between CTranslate2 and faster-whisper?
- CTranslate2: Fast inference engine for Transformer models. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose CTranslate2 over faster-whisper?
- Choose CTranslate2 over faster-whisper when CTranslate2 is primarily C++; faster-whisper is Python; Requirements: Min 2 GB RAM; CTranslate2 can be installed via pip, and specific Python wheels are available for AMD ROCm GPUs.; Tags unique to CTranslate2: avx, avx2, cpp, cuda; When you need fast inference for Transformer models with support for hardware accelerations like AVX, AVX2, CUDA, and ROCm.
- When should I choose faster-whisper over CTranslate2?
- Choose faster-whisper over CTranslate2 when faster-whisper is primarily Python; CTranslate2 is C++; Requirements: Requires Python 3.9 or greater.; Tags unique to faster-whisper: openai, quantization, speech recognition, speech-to-text; Also covers Speech & Audio; When you need fast speech-to-text transcription without the need to install FFmpeg separately, as Faster Whisper bundles FFmpeg libraries with PyAV.
- When should I avoid CTranslate2?
- If your hardware does not support the specific accelerations CTranslate2 offers, such as AVX, AVX2, CUDA, or ROCm. When you prefer a tool that is not written in C++ and does not require a C++ runtime environment. If your project does not benefit from the specific optimizations like intrinsics, GEMM, or quantization that CTranslate2 provides.
- When should I avoid faster-whisper?
- When your project strictly requires the use of FFmpeg for audio decoding, as Faster Whisper uses PyAV for this purpose. When you are working in an environment where Python 3.9 or greater is not available, as this is a requirement for using Faster Whisper.
- Is CTranslate2 or faster-whisper more popular on GitHub?
- faster-whisper has more GitHub stars (25,451 vs 4,677). Stars measure visibility, not whether either tool fits your constraints.
- Are CTranslate2 and faster-whisper open source?
- Yes - both are open-source projects on GitHub (CTranslate2: MIT, faster-whisper: MIT).
- Where can I find alternatives to CTranslate2 or faster-whisper?
- GraphCanon lists graph-backed alternatives at CTranslate2 alternatives and faster-whisper alternatives (CTranslate2 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, CTranslate2 or faster-whisper?
- CTranslate2: 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 CTranslate2 and faster-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CTranslate2 trust report; faster-whisper trust report.