macOS
Homebrew Cask已验证 · 100%
brew install --cask open-data-editorlocal Homebrew cask metadata
安装
其他安装命令
概览
软件包摘要
No-code application to explore, validate and publish data in a simple way
历史
项目历史与用法
Open Data Editor, commonly abbreviated ODE, is an OKFN desktop application that gives non-programmers a graphical workflow for finding and correcting errors in tabular data, managing metadata, and exporting or publishing results.
项目历史
The Open Knowledge Foundation developed Open Data Editor as a no-code desktop application for exploring, validating, editing, and publishing tabular data. The project is built around the Frictionless Framework and remains identified as beta in its official repository.
The documentation subsequently expanded beyond basic validation into FAIR-data guidance, responsible AI, metadata editing, publication workflows, technical documentation, and geographically diverse use cases.
采用历史
ODE is distributed for Windows, macOS, and Linux, with AppImage and Debian packages available for Linux. Its documentation presents use cases in agriculture, climate, data journalism, government, finance, heritage, and libraries.
The project positions itself as privacy-conscious, free, and open source, lowering the barrier to Frictionless-style validation for users who do not work from code or command-line tools.
使用方式
Open a CSV, Excel file, folder, or supported online table; inspect automatically detected structural and type errors; edit affected cells and metadata; then export the corrected data or use a documented publication workflow.
An optional local AI component can assist with supported tasks. The official repository documents environment variables for overriding its model name, URL, and filename.
为什么软件包爱好者会关心
ODE packages the Frictionless Data approach into a desktop GUI. For data-tooling users, it is a bridge between spreadsheet workflows and reproducible validation, metadata, and publication practices.
时间线
- The official repository labels the application beta and documents cross-platform release artifacts.
- 2025: The current official documentation set identifies Open Knowledge Foundation as its publisher and consolidates user, technical, and contributor guidance.
Related projects
- Frictionless Framework supplies the underlying data tooling and validation concepts.
- Frictionless Data provides the broader standards and ecosystem context.
- The official documentation compares ODE with Data Check, IATI Validator, CSV Lint, 360Giving Data Quality Checker, and Data Curator.
来源
安全态势
尚未找到受保护工具覆盖
没有找到 open-data-editor 的匹配本地密钥处理 manifest。软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。
安装行为
- formula 元数据中未记录 Homebrew post-install 钩子。
- 未记录 Homebrew bottle 元数据。
建议审查
在无人值守的代理使用前，请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
已安装的可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
| 没有可执行文件数据。 | |||
新鲜度
版本和新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时，才会提示版本落后。
页面生成时间2026-11-04
管理器版本1.8.0
管理器更新时间
本地数据OK
上游not checked
检测到的最新版本未检测到
https://github.com/okfn/opendataeditor
- 信息No package-manager update timestamp was available.低 置信度
- 信息No cached GitHub release or tag data was available.https://github.com/okfn/opendataeditornone 置信度
安装元数据
软件包元数据
| 软件包键 | cask:open-data-editor |
|---|---|
| 版本 | 1.8.0 |
| 软件包管理器 | Homebrew Cask |
| 软件包管理器页面 | https://formulae.brew.sh/cask/open-data-editor |
| 主页 | https://okfn.org/en/projects/open-data-editor/ |
| 仓库 | https://github.com/okfn/opendataeditor |
| 上游文档 | https://okfn.org/en/projects/open-data-editor/ |
| 源码归档 | https://github.com/okfn/opendataeditor/releases/download/v1.8.0/distribution-files-macos.zip |
| SHA-256 | e21dfc9b3983e49c367f6ba81b87615bae6071943cac5a8e4a07c8862440f013 |
| Bottle | 未记录 |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
源数据库详情
| Source Database | Homebrew cask API |
|---|---|
| Tap | homebrew/cask |
| Full Token | open-data-editor |
| Names |
|
| Artifacts | |
| Deprecated | no |
| Disabled | no |
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- cross-ecosystem install command graph
- curated package history
- package relationship graph
- package version freshness
- package-page enrichment