Comparison
distributed-llama vs faster-whisper
Verdict
Pick distributed-llama if distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license; 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 · distributed-llama alternatives · faster-whisper alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | distributed-llama | faster-whisper |
|---|---|---|
| Maintenance | Steady (76d since push) As of Sep 19, 2026 · github_public_v1 | Slowing (302d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 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
- distributed-llama
- Distributed LLM inference using home devices cluster
- faster-whisper
- Faster Whisper transcription with CTranslate2
Stars
- distributed-llama
- 3.1k
- faster-whisper
- 25k
Forks
- distributed-llama
- 250
- faster-whisper
- 2.1k
Open issues
- distributed-llama
- 48
- faster-whisper
- 323
Language
- distributed-llama
- C++
- faster-whisper
- Python
Adopt for
- distributed-llama
- distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license.
- 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
- distributed-llama
- -
- faster-whisper
- -
Runtime
- distributed-llama
- -
- faster-whisper
- -
License
- distributed-llama
- MIT
- faster-whisper
- MIT
Last pushed
- distributed-llama
- Jul 5, 2026
- faster-whisper
- Nov 19, 2025
Categories
- distributed-llama
- Inference & Serving
- faster-whisper
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- distributed-llama
- Steady (60%)
- faster-whisper
- Slowing (36%)
Days since push
- distributed-llama
- 76d
- faster-whisper
- 302d
Open issues (now)
- distributed-llama
- 48
- faster-whisper
- 323
Stars delta
- distributed-llama
- +48 (30d)
- faster-whisper
- +762 (30d)
Open issues delta
- distributed-llama
- 0 (30d)
- faster-whisper
- +8 (30d)
Owner type
- distributed-llama
- User
- faster-whisper
- Organization
OSV dependency advisories
- distributed-llama
- No lockfile (source not queried)
- faster-whisper
- No published findings from this source as of 2026-09-18
Full report
- distributed-llama
- Trust report
- faster-whisper
- Trust report
Choose distributed-llama if…
- distributed-llama is primarily C++; faster-whisper is Python.
- Tags unique to distributed-llama: distributed-computing, llm-inference, neural-network.
- When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
When NOT to use distributed-llama
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited.
- In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
Choose faster-whisper if…
- faster-whisper is primarily Python; distributed-llama is C++.
- 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 (b4rtaz/distributed-llama) · observed Sep 20, 2026
- GitHub forks (b4rtaz/distributed-llama) · observed Sep 20, 2026
- Last push (b4rtaz/distributed-llama) · observed Jul 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 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: distributed-llama 3.1k · faster-whisper 25k (synced Sep 20, 2026).
Common questions
- What is the difference between distributed-llama and faster-whisper?
- distributed-llama: Distributed LLM inference using home devices cluster. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose distributed-llama over faster-whisper?
- Choose distributed-llama over faster-whisper when distributed-llama is primarily C++; faster-whisper is Python; Tags unique to distributed-llama: distributed-computing, llm-inference, neural-network; When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
- When should I choose faster-whisper over distributed-llama?
- Choose faster-whisper over distributed-llama when faster-whisper is primarily Python; distributed-llama is C++; 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 distributed-llama?
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited. In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
- 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 distributed-llama or faster-whisper more popular on GitHub?
- faster-whisper has more GitHub stars (25,451 vs 3,060). Stars measure visibility, not whether either tool fits your constraints.
- Are distributed-llama and faster-whisper open source?
- Yes - both are open-source projects on GitHub (distributed-llama: MIT, faster-whisper: MIT).
- Where can I find alternatives to distributed-llama or faster-whisper?
- GraphCanon lists graph-backed alternatives at distributed-llama alternatives and faster-whisper alternatives (distributed-llama 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, distributed-llama or faster-whisper?
- distributed-llama: Steady. 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 distributed-llama and faster-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; faster-whisper trust report.