Comparison
ColossalAI vs stt
Verdict
Pick ColossalAI when license: ColossalAI is Apache-2.0, stt is GPL-3.0; pick stt when license: stt is GPL-3.0, ColossalAI is Apache-2.0.
Markdown twin · ColossalAI alternatives · stt alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ColossalAI | stt |
|---|---|---|
| Maintenance | Steady (46d 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
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- 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
- ColossalAI
- 41k
- stt
- 4.7k
Forks
- ColossalAI
- 4.5k
- stt
- 494
Open issues
- ColossalAI
- 501
- stt
- 100
Language
- ColossalAI
- Python
- stt
- Python
Adopt for
- ColossalAI
- ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.
- stt
- -
Persona
- ColossalAI
- -
- stt
- -
Runtime
- ColossalAI
- -
- stt
- -
License
- ColossalAI
- Apache-2.0
- stt
- GPL-3.0
Last pushed
- ColossalAI
- May 25, 2026
- stt
- Jan 22, 2026
Categories
- ColossalAI
- Model Training, Inference & Serving
- stt
- Model Training, Speech & Audio, Inference & Serving
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- stt
- Slowing (36%)
Days since push
- ColossalAI
- 46d
- stt
- 170d
Open issues (now)
- ColossalAI
- 501
- stt
- 100
Owner type
- ColossalAI
- Organization
- stt
- User
Security scan
- ColossalAI
- No lockfile
- stt
- 1 critical, 2 high, 3 medium, 21 low (1 critical, 2 high, 3 medium, 21 low)
Full report
- ColossalAI
- Trust report
- stt
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · stt: Python runtime
Choose ColossalAI if…
- License: ColossalAI is Apache-2.0, stt is GPL-3.0.
- Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training.
- You require handling extremely large AI models with massive context windows, such as over 2M tokens.
When NOT to use ColossalAI
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems.
- Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series).
- You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
Choose stt if…
- License: stt is GPL-3.0, ColossalAI is Apache-2.0.
- Tags unique to stt: speech, speech-to-text, python, stt.
- Also covers Speech & Audio.
When NOT to use stt
- Last GitHub push was 170 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on stt.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hpcaitech/ColossalAI) · observed Jul 11, 2026
- GitHub forks (hpcaitech/ColossalAI) · observed Jul 11, 2026
- Last push (hpcaitech/ColossalAI) · observed May 25, 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: ColossalAI 41k · stt 4.7k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and stt?
- ColossalAI: Making large AI models cheaper, faster and more accessible. 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 ColossalAI over stt?
- Choose ColossalAI over stt when License: ColossalAI is Apache-2.0, stt is GPL-3.0; Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose stt over ColossalAI?
- Choose stt over ColossalAI when License: stt is GPL-3.0, ColossalAI is Apache-2.0; Tags unique to stt: speech, speech-to-text, python, stt; Also covers Speech & Audio.
- When should I avoid ColossalAI?
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems. Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series). You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
- When should I avoid stt?
- Last GitHub push was 170 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on stt. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ColossalAI or stt more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 4,664). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and stt open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, stt: GPL-3.0).
- Where can I find alternatives to ColossalAI or stt?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and stt alternatives (ColossalAI 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, ColossalAI or stt?
- ColossalAI: Steady. 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 ColossalAI and stt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; stt trust report.