Comparison
caveman vs Keras-TextClassification
Verdict
Pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go; pick Keras-TextClassification if chinese-focused text classification models using Keras.
Markdown twin · caveman alternatives · Keras-TextClassification alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | caveman | Keras-TextClassification |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (824d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- caveman
- Reduces token usage by 65% through minimalistic language for coding agents
- Keras-TextClassification
- Chinese text classification models based on Keras
Stars
- caveman
- 106k
- Keras-TextClassification
- 1.8k
Forks
- caveman
- 6.2k
- Keras-TextClassification
- 397
Open issues
- caveman
- 127
- Keras-TextClassification
- 4
Language
- caveman
- Go
- Keras-TextClassification
- Python
Adopt for
- caveman
- Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
- Keras-TextClassification
- Chinese-focused text classification models using Keras.
Persona
- caveman
- -
- Keras-TextClassification
- -
Runtime
- caveman
- -
- Keras-TextClassification
- -
License
- caveman
- Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping.
- Keras-TextClassification
- MIT License - allows free use, modification, distribution with attribution required but no guarantee or liability from contributors.
Last pushed
- caveman
- Sep 18, 2026
- Keras-TextClassification
- Jun 17, 2024
Categories
- caveman
- AI Agents, Model Training
- Keras-TextClassification
- Model Training
Trust and health
Maintenance
- caveman
- Very active (96%)
- Keras-TextClassification
- Dormant (18%)
Days since push
- caveman
- 0d
- Keras-TextClassification
- 824d
Open issues (now)
- caveman
- 127
- Keras-TextClassification
- 4
Stars delta
- caveman
- +8.0k (30d)
- Keras-TextClassification
- -4 (30d)
Open issues delta
- caveman
- -358 (30d)
- Keras-TextClassification
- 0 (30d)
OSV dependency advisories
- caveman
- No published findings from this source as of 2026-09-18
- Keras-TextClassification
- No lockfile (source not queried)
Full report
- caveman
- Trust report
- Keras-TextClassification
- Trust report
Choose caveman if…
- caveman is primarily Go; Keras-TextClassification is Python.
- License: caveman is Other, Keras-TextClassification is MIT.
- Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license..
- Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment..
- Tags unique to caveman: ai, anthropic, caveman, claude.
- Also covers AI Agents.
- caveman ships Docker support for self-hosted deployment.
- When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
When NOT to use caveman
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date.
- When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
Choose Keras-TextClassification if…
- Keras-TextClassification is primarily Python; caveman is Go.
- License: Keras-TextClassification is MIT, caveman is Other.
- 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 (JuliusBrussee/caveman) · observed Sep 20, 2026
- GitHub forks (JuliusBrussee/caveman) · observed Sep 20, 2026
- Last push (JuliusBrussee/caveman) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (yongzhuo/Keras-TextClassification) · observed Sep 20, 2026
- GitHub forks (yongzhuo/Keras-TextClassification) · observed Sep 20, 2026
- Last push (yongzhuo/Keras-TextClassification) · observed Jun 17, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caveman 106k · Keras-TextClassification 1.8k (synced Sep 20, 2026).
Common questions
- What is the difference between caveman and Keras-TextClassification?
- caveman: Reduces token usage by 65% through minimalistic language for coding agents. Keras-TextClassification: Chinese text classification models based on Keras. See the comparison table for live GitHub stats and shared categories.
- When should I choose caveman over Keras-TextClassification?
- Choose caveman over Keras-TextClassification when caveman is primarily Go; Keras-TextClassification is Python; License: caveman is Other, Keras-TextClassification is MIT; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; Tags unique to caveman: ai, anthropic, caveman, claude; Also covers AI Agents; caveman ships Docker support for self-hosted deployment; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
- When should I choose Keras-TextClassification over caveman?
- Choose Keras-TextClassification over caveman when Keras-TextClassification is primarily Python; caveman is Go; License: Keras-TextClassification is MIT, caveman is Other; 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 caveman?
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
- 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 caveman or Keras-TextClassification more popular on GitHub?
- caveman has more GitHub stars (106,401 vs 1,808). Stars measure visibility, not whether either tool fits your constraints.
- Are caveman and Keras-TextClassification open source?
- Yes - both are open-source projects on GitHub (caveman: Other, Keras-TextClassification: MIT).
- Where can I find alternatives to caveman or Keras-TextClassification?
- GraphCanon lists graph-backed alternatives at caveman alternatives and Keras-TextClassification alternatives (caveman 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, caveman or Keras-TextClassification?
- caveman: Very 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 caveman and Keras-TextClassification?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; Keras-TextClassification trust report.