Comparison
DeepSpeed vs stt
Verdict
Pick DeepSpeed when license: DeepSpeed is Apache-2.0, stt is GPL-3.0; pick stt when license: stt is GPL-3.0, DeepSpeed is Apache-2.0.
Markdown twin · DeepSpeed alternatives · stt alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSpeed | stt |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (170d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 1 critical, 2 high, 3 medium, 21 low (1 critical, 2 high, 3 medium, 21 low) As of today · osv@v1 |
Tagline
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- stt
- Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式
Stars
- DeepSpeed
- 43k
- stt
- 4.7k
Forks
- DeepSpeed
- 4.9k
- stt
- 494
Open issues
- DeepSpeed
- 1.3k
- stt
- 100
Language
- DeepSpeed
- Python
- stt
- Python
Adopt for
- DeepSpeed
- Decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression.
- stt
- -
Persona
- DeepSpeed
- -
- stt
- -
Runtime
- DeepSpeed
- -
- stt
- -
License
- DeepSpeed
- Apache-2.0
- stt
- GPL-3.0
Last pushed
- DeepSpeed
- Jul 11, 2026
- stt
- Jan 22, 2026
Categories
- DeepSpeed
- Inference & Serving, Model Training
- stt
- Inference & Serving, Model Training, Speech & Audio
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- stt
- Slowing (36%)
Days since push
- DeepSpeed
- 0d
- stt
- 170d
Open issues (now)
- DeepSpeed
- 1.3k
- stt
- 100
Owner type
- DeepSpeed
- Organization
- stt
- User
Security scan
- DeepSpeed
- No lockfile
- stt
- 1 critical, 2 high, 3 medium, 21 low (1 critical, 2 high, 3 medium, 21 low)
Full report
- DeepSpeed
- Trust report
- stt
- Trust report
Choose DeepSpeed if…
- License: DeepSpeed is Apache-2.0, stt is GPL-3.0.
- Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, deep-learning.
- - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters)
When NOT to use DeepSpeed
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs
- - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
Choose stt if…
- License: stt is GPL-3.0, DeepSpeed is Apache-2.0.
- Tags unique to stt: python, speech, speech-recognition, speech-to-text.
- Also covers Speech & Audio.
When NOT to use stt
- Last GitHub push was 171 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on stt.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jianchang512/stt) · observed Jul 11, 2026
- GitHub forks (jianchang512/stt) · observed Jul 11, 2026
- Last push (jianchang512/stt) · observed Jan 22, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSpeed 43k · stt 4.7k (synced Jul 11, 2026).
Common questions
- What is the difference between DeepSpeed and stt?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. stt: Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over stt?
- Choose DeepSpeed over stt when License: DeepSpeed is Apache-2.0, stt is GPL-3.0; Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, deep-learning; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
- When should I choose stt over DeepSpeed?
- Choose stt over DeepSpeed when License: stt is GPL-3.0, DeepSpeed is Apache-2.0; Tags unique to stt: python, speech, speech-recognition, speech-to-text; Also covers Speech & Audio.
- When should I avoid DeepSpeed?
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
- When should I avoid stt?
- Last GitHub push was 171 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on stt. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is DeepSpeed or stt more popular on GitHub?
- DeepSpeed has more GitHub stars (42,685 vs 4,664). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and stt open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, stt: GPL-3.0).
- Where can I find alternatives to DeepSpeed or stt?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and stt alternatives (DeepSpeed markdown twin, stt 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, DeepSpeed or stt?
- DeepSpeed: Very active. stt: 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 DeepSpeed and stt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; stt trust report.