Releases: MzKyle/DataScope-Studio
Release list
v0.3.1
DataScope Studio prerelease installers include the local API, Python runtime,
and Rerun. No separate development environment is required.
These installers are not code-signed. Review the installation notes in the
README before bypassing Windows SmartScreen or macOS Gatekeeper.
What's Changed
Full Changelog: v0.3.0...v0.3.1
DataScope Studio v0.3.0
中文
DataScope Studio v0.3.0 预发布版本新增无表头 CSV 导入配置和可自定义的 Rerun 产物目录,并加强 Mapping 校验与禁用流处理。
主要更新
- 桌面端支持为 CSV 选择自动识别、有表头或无表头模式,并可按原始顺序指定列名。
- 桌面端设置和转换任务可指定共同的 Rerun 产物目录,将
.rrd与.rbl保存到同一位置。 - Source API 新增
import_options.csv.header_mode/column_names;Recording API 和构建估算支持可选output_dir。 - CLI
datascope import新增--output-dir。 - 缺失的 Mapping 字段和零启用流现在会阻止转换;Blueprint 忽略禁用流。
- 文档已同步当前 CSV、MCAP、ROS2 DB3、API、CLI 和安装流程。
兼容性
未提供新增参数时保持原有行为:CSV 自动识别表头,.rrd 与 .rbl 分别写入项目的 recordings/ 和 blueprints/。安装包包含本地 API、Python runtime 和 Rerun,无需单独配置开发环境。
English
DataScope Studio v0.3.0 adds configurable headerless CSV imports and custom Rerun artifact folders, with stricter mapping validation and disabled-stream handling.
Highlights
- Select automatic, header, or no-header CSV parsing in the desktop app and provide ordered column names.
- Store
.rrdand.rbltogether in a configurable artifact folder from Settings or the conversion workflow. - Use
import_options.csv.header_mode/column_namesin the Source API and optionaloutput_dirin recording builds and build estimates. - Use
datascope import --output-dirfrom the CLI. - Block conversion for missing mapped fields or mappings with no enabled streams; disabled streams are excluded from blueprints.
- Updated CSV, MCAP, ROS2 DB3, API, CLI, installation, and release documentation.
Compatibility
Existing defaults are unchanged when new options are omitted: CSV headers are auto-detected, and artifacts use the project recordings/ and blueprints/ folders. Installers bundle the local API, Python runtime, and Rerun.
These prerelease installers are not code-signed. Review the README installation notes before bypassing Windows SmartScreen or macOS Gatekeeper.
Full Changelog: v0.2.0...v0.3.0
DataScope Studio v0.2.0
DataScope Studio prerelease installers include the local API, Python runtime,
and Rerun. No separate development environment is required.
These installers are not code-signed. Review the installation notes in the
README before bypassing Windows SmartScreen or macOS Gatekeeper.
What's Changed
Full Changelog: v0.1.0...v0.2.0
v0.1.0
DataScope Studio prerelease installers include the local API, Python runtime,
and Rerun. No separate development environment is required.
These installers are not code-signed. Review the installation notes in the
README before bypassing Windows SmartScreen or macOS Gatekeeper.
What's Changed
New Contributors
Full Changelog: https://github.com/MzKyle/DataScope-Studio/commits/v0.1.0