Comparison
FasterTransformer vs faster-whisper
Verdict
Pick FasterTransformer if highly optimized transformer encoder and decoder for inferencing, supporting BERT and GPT on various frameworks like TensorFlow, PyTorch; 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 · FasterTransformer alternatives · faster-whisper alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | FasterTransformer | faster-whisper |
|---|---|---|
| Maintenance | Dormant (893d since push) As of Sep 7, 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 7, 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 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 | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- FasterTransformer
- Transformer related optimization including BERT and GPT
- faster-whisper
- Faster Whisper transcription with CTranslate2
Stars
- FasterTransformer
- 6.4k
- faster-whisper
- 25k
Forks
- FasterTransformer
- 934
- faster-whisper
- 2.1k
Open issues
- FasterTransformer
- 289
- faster-whisper
- 323
Language
- FasterTransformer
- C++
- faster-whisper
- Python
Adopt for
- FasterTransformer
- Highly optimized transformer encoder and decoder for inferencing, supporting BERT and GPT on various frameworks like TensorFlow, PyTorch.
- 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
- FasterTransformer
- -
- faster-whisper
- -
Runtime
- FasterTransformer
- -
- faster-whisper
- -
License
- FasterTransformer
- Apache-2.0
- faster-whisper
- MIT
Last pushed
- FasterTransformer
- Mar 27, 2024
- faster-whisper
- Nov 19, 2025
Categories
- FasterTransformer
- Inference & Serving
- faster-whisper
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- FasterTransformer
- Dormant (18%)
- faster-whisper
- Slowing (36%)
Days since push
- FasterTransformer
- 893d
- faster-whisper
- 302d
Open issues (now)
- FasterTransformer
- 289
- faster-whisper
- 323
Stars delta
- FasterTransformer
- +2 (30d)
- faster-whisper
- +762 (30d)
Open issues delta
- FasterTransformer
- 0 (30d)
- faster-whisper
- +8 (30d)
OSV dependency advisories
- FasterTransformer
- No lockfile (source not queried)
- faster-whisper
- No published findings from this source as of 2026-09-18
Full report
- FasterTransformer
- Trust report
- faster-whisper
- Trust report
Choose FasterTransformer if…
- FasterTransformer is primarily C++; faster-whisper is Python.
- License: FasterTransformer is Apache-2.0, faster-whisper is MIT.
- Tags unique to FasterTransformer: bert, cublas, cublaslt, cuda.
- When aiming for high performance with GPU-based FP16 computations for BERT or GPT models specifically.
When NOT to use FasterTransformer
- If looking for active development and latest improvements on LLM Inference as NVIDIA recommends TensorRT-LLM over FasterTransformer now.
- When specific frameworks not including TensorFlow, PyTorch, or Triton are required.
Choose faster-whisper if…
- faster-whisper is primarily Python; FasterTransformer is C++.
- License: faster-whisper is MIT, FasterTransformer is Apache-2.0.
- Requirements: Requires Python 3.9 or greater..
- Tags unique to faster-whisper: deep-learning, inference, openai, quantization.
- 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 (NVIDIA/FasterTransformer) · observed Sep 20, 2026
- GitHub forks (NVIDIA/FasterTransformer) · observed Sep 20, 2026
- Last push (NVIDIA/FasterTransformer) · observed Mar 27, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: FasterTransformer 6.4k · faster-whisper 25k (synced Sep 20, 2026).
Common questions
- What is the difference between FasterTransformer and faster-whisper?
- FasterTransformer: Transformer related optimization including BERT and GPT. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose FasterTransformer over faster-whisper?
- Choose FasterTransformer over faster-whisper when FasterTransformer is primarily C++; faster-whisper is Python; License: FasterTransformer is Apache-2.0, faster-whisper is MIT; Tags unique to FasterTransformer: bert, cublas, cublaslt, cuda; When aiming for high performance with GPU-based FP16 computations for BERT or GPT models specifically.
- When should I choose faster-whisper over FasterTransformer?
- Choose faster-whisper over FasterTransformer when faster-whisper is primarily Python; FasterTransformer is C++; License: faster-whisper is MIT, FasterTransformer is Apache-2.0; Requirements: Requires Python 3.9 or greater.; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; 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 FasterTransformer?
- If looking for active development and latest improvements on LLM Inference as NVIDIA recommends TensorRT-LLM over FasterTransformer now. When specific frameworks not including TensorFlow, PyTorch, or Triton are required.
- 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 FasterTransformer or faster-whisper more popular on GitHub?
- faster-whisper has more GitHub stars (25,451 vs 6,448). Stars measure visibility, not whether either tool fits your constraints.
- Are FasterTransformer and faster-whisper open source?
- Yes - both are open-source projects on GitHub (FasterTransformer: Apache-2.0, faster-whisper: MIT).
- Where can I find alternatives to FasterTransformer or faster-whisper?
- GraphCanon lists graph-backed alternatives at FasterTransformer alternatives and faster-whisper alternatives (FasterTransformer 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, FasterTransformer or faster-whisper?
- FasterTransformer: Dormant. 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 FasterTransformer and faster-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FasterTransformer trust report; faster-whisper trust report.