Comparison
ColossalAI vs Keras-TextClassification
Verdict
Pick ColossalAI if colossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models; pick Keras-TextClassification if chinese-focused text classification models using Keras.
Markdown twin · ColossalAI alternatives · Keras-TextClassification alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | ColossalAI | Keras-TextClassification |
|---|---|---|
| Maintenance | Active (24d since push) As of 2w · github_public_v1 | Dormant (795d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- Keras-TextClassification
- Chinese text classification models based on Keras
Stars
- ColossalAI
- 41k
- Keras-TextClassification
- 1.8k
Forks
- ColossalAI
- 4.5k
- Keras-TextClassification
- 397
Open issues
- ColossalAI
- 505
- Keras-TextClassification
- 4
Language
- ColossalAI
- Python
- Keras-TextClassification
- 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.
- Keras-TextClassification
- Chinese-focused text classification models using Keras.
Persona
- ColossalAI
- -
- Keras-TextClassification
- -
Runtime
- ColossalAI
- -
- Keras-TextClassification
- -
License
- ColossalAI
- Apache-2.0
- Keras-TextClassification
- MIT License - allows free use, modification, distribution with attribution required but no guarantee or liability from contributors.
Last pushed
- ColossalAI
- Jul 13, 2026
- Keras-TextClassification
- Jun 17, 2024
Categories
- ColossalAI
- Inference & Serving, Model Training
- Keras-TextClassification
- Model Training
Trust and health
Maintenance
- ColossalAI
- Active (82%)
- Keras-TextClassification
- Dormant (18%)
Days since push
- ColossalAI
- 24d
- Keras-TextClassification
- 795d
Open issues (now)
- ColossalAI
- 505
- Keras-TextClassification
- 4
Stars delta
- ColossalAI
- Unknown
- Keras-TextClassification
- -3 (30d)
Open issues delta
- ColossalAI
- Unknown
- Keras-TextClassification
- 0 (30d)
Owner type
- ColossalAI
- Organization
- Keras-TextClassification
- User
Full report
- ColossalAI
- Trust report
- Keras-TextClassification
- Trust report
Shared compatibility
- Python · ColossalAI: Python runtime · Keras-TextClassification: Python runtime
Choose ColossalAI if…
- License: ColossalAI is Apache-2.0, Keras-TextClassification is MIT.
- Tags unique to ColossalAI: ai, big model, data-parallelism, deep-learning.
- Also covers Inference & Serving.
- 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 Keras-TextClassification if…
- License: Keras-TextClassification is MIT, ColossalAI is Apache-2.0.
- Requirements: Min 4 GB RAM; Python environment must be prepared for running Keras.; Supports multiple model types requiring different levels of computation resources..
- Tags unique to Keras-TextClassification: albert, bert, capsulenetwork, charcnn.
- Requires Chinese text classification for tasks like multi-label, sentence similarity analysis.
When NOT to use Keras-TextClassification
- Does not cater to non-Chinese language datasets effectively due to its Chinese-specific models.
- Avoid if you seek a tool with extensive support beyond text classification like NER or POS tagging.
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 Aug 7, 2026
- GitHub forks (hpcaitech/ColossalAI) · observed Aug 7, 2026
- Last push (hpcaitech/ColossalAI) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yongzhuo/Keras-TextClassification) · observed Aug 22, 2026
- GitHub forks (yongzhuo/Keras-TextClassification) · observed Aug 22, 2026
- Last push (yongzhuo/Keras-TextClassification) · observed Jun 17, 2024
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · Keras-TextClassification 1.8k (synced Aug 7, 2026).
Common questions
- What is the difference between ColossalAI and Keras-TextClassification?
- ColossalAI: Making large AI models cheaper, faster and more accessible. Keras-TextClassification: Chinese text classification models based on Keras. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over Keras-TextClassification?
- Choose ColossalAI over Keras-TextClassification when License: ColossalAI is Apache-2.0, Keras-TextClassification is MIT; Tags unique to ColossalAI: ai, big model, data-parallelism, deep-learning; Also covers Inference & Serving; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose Keras-TextClassification over ColossalAI?
- Choose Keras-TextClassification over ColossalAI when License: Keras-TextClassification is MIT, ColossalAI is Apache-2.0; Requirements: Min 4 GB RAM; Python environment must be prepared for running Keras.; Supports multiple model types requiring different levels of computation resources.; Tags unique to Keras-TextClassification: albert, bert, capsulenetwork, charcnn; Requires Chinese text classification for tasks like multi-label, sentence similarity analysis.
- 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 Keras-TextClassification?
- Does not cater to non-Chinese language datasets effectively due to its Chinese-specific models. Avoid if you seek a tool with extensive support beyond text classification like NER or POS tagging.
- Is ColossalAI or Keras-TextClassification more popular on GitHub?
- ColossalAI has more GitHub stars (41,432 vs 1,809). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and Keras-TextClassification open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, Keras-TextClassification: MIT).
- Where can I find alternatives to ColossalAI or Keras-TextClassification?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and Keras-TextClassification alternatives (ColossalAI markdown twin, Keras-TextClassification 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 Keras-TextClassification?
- ColossalAI: Active. Keras-TextClassification: 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 Keras-TextClassification?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; Keras-TextClassification trust report.