Comparison
ColossalAI vs whylogs
Verdict
Pick ColossalAI when colossalAI is primarily Python; whylogs is Jupyter Notebook; pick whylogs when whylogs is primarily Jupyter Notebook; ColossalAI is Python.
Markdown twin · ColossalAI alternatives · whylogs alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ColossalAI | whylogs |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Dormant (547d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- whylogs
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collect
Stars
- ColossalAI
- 41k
- whylogs
- 2.8k
Forks
- ColossalAI
- 4.5k
- whylogs
- 143
Open issues
- ColossalAI
- 501
- whylogs
- 4
Language
- ColossalAI
- Python
- whylogs
- Jupyter Notebook
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.
- whylogs
- -
Persona
- ColossalAI
- -
- whylogs
- -
Runtime
- ColossalAI
- -
- whylogs
- -
License
- ColossalAI
- Apache-2.0
- whylogs
- Apache-2.0
Last pushed
- ColossalAI
- May 25, 2026
- whylogs
- Jan 10, 2025
Categories
- ColossalAI
- Inference & Serving, Model Training
- whylogs
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- whylogs
- Dormant (18%)
Days since push
- ColossalAI
- 46d
- whylogs
- 547d
Open issues (now)
- ColossalAI
- 501
- whylogs
- 4
Full report
- ColossalAI
- Trust report
- whylogs
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · whylogs: Python runtime
Choose ColossalAI if…
- ColossalAI is primarily Python; whylogs is Jupyter Notebook.
- Tags unique to ColossalAI: ai, big-model, data-parallelism, deep-learning.
- 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 whylogs if…
- whylogs is primarily Jupyter Notebook; ColossalAI is Python.
- Tags unique to whylogs: ai-pipelines, analytics, approximate-statistics, calculate-statistics.
- Also covers Computer Vision.
- whylogs ships Docker support for self-hosted deployment.
When NOT to use whylogs
- Last GitHub push was 547 days ago (dormant maintenance, Jan 10, 2025). Validate activity before betting a new project on whylogs.
- 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 (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 (whylabs/whylogs) · observed Jul 11, 2026
- GitHub forks (whylabs/whylogs) · observed Jul 11, 2026
- Last push (whylabs/whylogs) · observed Jan 10, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · whylogs 2.8k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and whylogs?
- ColossalAI: Making large AI models cheaper, faster and more accessible. whylogs: An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collect. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over whylogs?
- Choose ColossalAI over whylogs when ColossalAI is primarily Python; whylogs is Jupyter Notebook; Tags unique to ColossalAI: ai, big-model, data-parallelism, deep-learning; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose whylogs over ColossalAI?
- Choose whylogs over ColossalAI when whylogs is primarily Jupyter Notebook; ColossalAI is Python; Tags unique to whylogs: ai-pipelines, analytics, approximate-statistics, calculate-statistics; Also covers Computer Vision; whylogs ships Docker support for self-hosted deployment.
- 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 whylogs?
- Last GitHub push was 547 days ago (dormant maintenance, Jan 10, 2025). Validate activity before betting a new project on whylogs. 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 ColossalAI or whylogs more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 2,826). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and whylogs open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, whylogs: Apache-2.0).
- Where can I find alternatives to ColossalAI or whylogs?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and whylogs alternatives (ColossalAI markdown twin, whylogs 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 whylogs?
- ColossalAI: Steady. whylogs: Dormant. 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 whylogs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; whylogs trust report.