Comparison
JeecgBoot vs serve
Verdict
Pick JeecgBoot when tags unique to JeecgBoot: ai skills, codegenerator, mybatis plus, spring boot; pick serve when tags unique to serve: cpu, deep-learning, docker, gpu.
Markdown twin · JeecgBoot alternatives · serve alternatives
GraphCanon updated today
Trust & integrity
| Signal | JeecgBoot | serve |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Archived (339d 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 MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- JeecgBoot
- AI低代码平台,实现快速生成前后端系统及模块
- serve
- Serve, optimize and scale PyTorch models in production
Stars
- JeecgBoot
- 47k
- serve
- 4.3k
Forks
- JeecgBoot
- 16k
- serve
- 883
Open issues
- JeecgBoot
- 50
- serve
- 443
Language
- JeecgBoot
- Java
- serve
- Java
Adopt for
- JeecgBoot
- JeecgBoot 是一个基于 Java 的低代码开发平台,特别适用于需要快速生成前后端系统的场景。
- serve
- -
Persona
- JeecgBoot
- -
- serve
- -
Runtime
- JeecgBoot
- -
- serve
- -
License
- JeecgBoot
- Apache-2.0
- serve
- Apache-2.0
Last pushed
- JeecgBoot
- Jul 10, 2026
- serve
- Aug 6, 2025
Categories
- JeecgBoot
- Developer Tools, Inference & Serving, Model Training
- serve
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- JeecgBoot
- Very active (96%)
- serve
- Archived (8%)
Days since push
- JeecgBoot
- 0d
- serve
- 339d
Archived on GitHub
- JeecgBoot
- No
- serve
- Yes
Open issues (now)
- JeecgBoot
- 50
- serve
- 443
Security scan
- JeecgBoot
- No MCP manifest
- serve
- No lockfile
Full report
- JeecgBoot
- Trust report
- serve
- Trust report
Choose JeecgBoot if…
- Tags unique to JeecgBoot: ai skills, codegenerator, mybatis plus, spring boot.
- Also covers Developer Tools.
- JeecgBoot ships Docker support for self-hosted deployment.
- - 当项目涉及大量的重复工作时,如Java项目的表单设计和报表生成,可以显著提高效率。
When NOT to use JeecgBoot
- - 如果项目需要高度定制化的设计与开发,尤其是涉及复杂业务逻辑时,JeecgBoot可能无法完全满足需求。
- - 对于对Java和技术栈如Spring Boot, MyBatis Plus有特定限制或偏好其他技术栈的团队来说,JeecgBoot不适合采用。
Choose serve if…
- Tags unique to serve: cpu, deep-learning, docker, gpu.
- Also covers LLM Frameworks.
When NOT to use serve
- serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 (jeecgboot/JeecgBoot) · observed Jul 11, 2026
- GitHub forks (jeecgboot/JeecgBoot) · observed Jul 11, 2026
- Last push (jeecgboot/JeecgBoot) · observed Jul 10, 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 (pytorch/serve) · observed Jul 11, 2026
- GitHub forks (pytorch/serve) · observed Jul 11, 2026
- Last push (pytorch/serve) · observed Aug 6, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: JeecgBoot 47k · serve 4.3k (synced Jul 11, 2026).
Common questions
- What is the difference between JeecgBoot and serve?
- JeecgBoot: AI低代码平台,实现快速生成前后端系统及模块. serve: Serve, optimize and scale PyTorch models in production. See the comparison table for live GitHub stats and shared categories.
- When should I choose JeecgBoot over serve?
- Choose JeecgBoot over serve when Tags unique to JeecgBoot: ai skills, codegenerator, mybatis plus, spring boot; Also covers Developer Tools; JeecgBoot ships Docker support for self-hosted deployment; - 当项目涉及大量的重复工作时,如Java项目的表单设计和报表生成,可以显著提高效率。.
- When should I choose serve over JeecgBoot?
- Choose serve over JeecgBoot when Tags unique to serve: cpu, deep-learning, docker, gpu; Also covers LLM Frameworks.
- When should I avoid JeecgBoot?
- - 如果项目需要高度定制化的设计与开发,尤其是涉及复杂业务逻辑时,JeecgBoot可能无法完全满足需求。 - 对于对Java和技术栈如Spring Boot, MyBatis Plus有特定限制或偏好其他技术栈的团队来说,JeecgBoot不适合采用。
- When should I avoid serve?
- serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is JeecgBoot or serve more popular on GitHub?
- JeecgBoot has more GitHub stars (47,011 vs 4,350). Stars measure visibility, not whether either tool fits your constraints.
- Are JeecgBoot and serve open source?
- Yes - both are open-source projects on GitHub (JeecgBoot: Apache-2.0, serve: Apache-2.0).
- Where can I find alternatives to JeecgBoot or serve?
- GraphCanon lists graph-backed alternatives at JeecgBoot alternatives and serve alternatives (JeecgBoot markdown twin, serve 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, JeecgBoot or serve?
- JeecgBoot: Very active. serve: Archived. 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 JeecgBoot and serve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: JeecgBoot trust report; serve trust report.