Fess is based on [OpenSearch](https://github.com/opensearch-project/OpenSearch)/[Elasticsearch](https://github.com/elastic/elasticsearch), but knowledge/experience about OpenSearch/Elasticsearch is _not_ required. Fess provides an easy to use Administration GUI to configure the system via your browser.

		</antcall>
		<!-- kopf -->
		<get dest="${target.dir}/kopf.zip">
			<url url="https://github.com/codelibs/elasticsearch-kopf/archive/${kopf.branch}.zip" />
		</get>
		<delete dir="${site.dir}/kopf" />
		<unzip dest="${site.dir}/kopf" src="${target.dir}/kopf.zip">
			<patternset>
				<include name="elasticsearch-kopf-${kopf.branch}/_site/**" />
			</patternset>
			<cutdirsmapper dirs="2" />
		</unzip>

* 基础的用户模型（可按需修改或删除）
* **Alembic** 迁移
* **CORS**（跨域资源共享）
* **Celery** Worker 可从后端其它部分有选择地导入并使用模型和代码
* REST 后端测试基于 Pytest，并与 Docker 集成，可独立于数据库实现完整的 API 交互测试。因为是在 Docker 中运行，每次都可从头构建新的数据存储（使用 ElasticSearch、MongoDB、CouchDB 等数据库，仅测试 API 运行）
* Python 与 **Jupyter Kernels** 集成，用于远程或 Docker 容器内部开发，使用 Atom Hydrogen 或 Visual Studio Code 的 Jupyter 插件
* **Vue** 前端：
    * 由 Vue CLI 生成
    * **JWT 身份验证**处理
    * 登录视图

* **Pytest**'e dayalı, Docker ile entegre REST backend testleri ile veritabanından bağımsız olarak tam API etkileşimini test edebilirsiniz. Docker'da çalıştığı için her seferinde sıfırdan yeni bir veri deposu oluşturabilir (böylece ElasticSearch, MongoDB, CouchDB veya ne istersen kullanabilirsin ve sadece API'nin çalışıp çalışmadığını test edebilirsin).

* Einfache Python-Integration mit **Jupyter-Kerneln** für Remote- oder In-Docker-Entwicklung mit Erweiterungen wie Atom Hydrogen oder...

You can adapt it to any other NoSQL database like:

* **MongoDB**
* **Cassandra**
* **CouchDB**
* **ArangoDB**
* **ElasticSearch**, etc.

!!! tip