--- title: "JeecgBoot vs fastDeploy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jeecgboot-jeecgboot-vs-notai-tech-fastdeploy" tools: ["jeecgboot-jeecgboot", "notai-tech-fastdeploy"] --- # JeecgBoot vs fastDeploy *GraphCanon updated Jul 15, 2026* ## Verdict Pick JeecgBoot when jeecgBoot is primarily Java; fastDeploy is Python; pick fastDeploy when fastDeploy is primarily Python; JeecgBoot is Java. [JeecgBoot](https://jeecg.com) reports 47k GitHub stars, 16k forks, and 50 open issues, last pushed Jul 10, 2026. [fastDeploy](https://github.com/notAI-tech/fastDeploy) has 105 stars, 17 forks, and 0 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [JeecgBoot's repository](https://github.com/jeecgboot/JeecgBoot) and [fastDeploy's repository](https://github.com/notAI-tech/fastDeploy). | | [JeecgBoot](/tools/jeecgboot-jeecgboot.md) | [fastDeploy](/tools/notai-tech-fastdeploy.md) | | --- | --- | --- | | Tagline | AI低代码平台，实现快速生成前后端系统及模块 | Deploy DL/ ML inference pipelines with minimal extra code. | | Stars | 47,011 | 105 | | Forks | 16,086 | 17 | | Open issues | 50 | 0 | | Language | Java | Python | | Adopt for | 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。 | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools, Inference & Serving, Model Training | Inference & Serving, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [JeecgBoot](/tools/jeecgboot-jeecgboot.md) | [fastDeploy](/tools/notai-tech-fastdeploy.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 154d | | Open issues (now) | 50 | 0 | | Full report | [trust report](/tools/jeecgboot-jeecgboot/trust.md) | [trust report](/tools/notai-tech-fastdeploy/trust.md) | ## Decision facts: JeecgBoot - **Adopt for:** 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。 ## Choose when ### Choose JeecgBoot if… - JeecgBoot is primarily Java; fastDeploy is Python. - License: JeecgBoot is Apache-2.0, fastDeploy is MIT. - 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。 ### Choose fastDeploy if… - fastDeploy is primarily Python; JeecgBoot is Java. - License: fastDeploy is MIT, JeecgBoot is Apache-2.0. - Tags unique to fastDeploy: deep-learning, docker, falcon, gevent. - Also covers Speech & Audio. ## When NOT to use JeecgBoot - - ，，JeecgBoot。 - - JavaSpring Boot, MyBatis Plus，JeecgBoot。 ## When NOT to use fastDeploy - Last GitHub push was 155 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on fastDeploy. - 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. ## Common questions ### What is the difference between JeecgBoot and fastDeploy? JeecgBoot: AI低代码平台，实现快速生成前后端系统及模块. fastDeploy: Deploy DL/ ML inference pipelines with minimal extra code.. See the comparison table for live GitHub stats and shared categories. ### When should I choose JeecgBoot over fastDeploy? Choose JeecgBoot over fastDeploy when JeecgBoot is primarily Java; fastDeploy is Python; License: JeecgBoot is Apache-2.0, fastDeploy is MIT; 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 fastDeploy over JeecgBoot? Choose fastDeploy over JeecgBoot when fastDeploy is primarily Python; JeecgBoot is Java; License: fastDeploy is MIT, JeecgBoot is Apache-2.0; Tags unique to fastDeploy: deep-learning, docker, falcon, gevent; Also covers Speech & Audio. ### When should I avoid JeecgBoot? - ，，JeecgBoot。 - JavaSpring Boot, MyBatis Plus，JeecgBoot。 ### When should I avoid fastDeploy? Last GitHub push was 155 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on fastDeploy. 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 JeecgBoot or fastDeploy more popular on GitHub? JeecgBoot has more GitHub stars (47,011 vs 105). Stars measure visibility, not whether either tool fits your constraints. ### Are JeecgBoot and fastDeploy open source? Yes - both are open-source projects on GitHub (JeecgBoot: Apache-2.0, fastDeploy: MIT). ### Where can I find alternatives to JeecgBoot or fastDeploy? GraphCanon lists graph-backed alternatives at [JeecgBoot alternatives](/tools/jeecgboot-jeecgboot/alternatives) and [fastDeploy alternatives](/tools/notai-tech-fastdeploy/alternatives) ([JeecgBoot markdown twin](/tools/jeecgboot-jeecgboot/alternatives.md), [fastDeploy markdown twin](/tools/notai-tech-fastdeploy/alternatives.md)), 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](/compare/jeecgboot-jeecgboot-vs-notai-tech-fastdeploy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, JeecgBoot or fastDeploy? JeecgBoot: Very active. fastDeploy: 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 JeecgBoot and fastDeploy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [JeecgBoot trust report](/tools/jeecgboot-jeecgboot/trust); [fastDeploy trust report](/tools/notai-tech-fastdeploy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jeecgboot-jeecgboot`](/api/graphcanon/graph?tool=jeecgboot-jeecgboot) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_