Rath

data_analysis

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

{"en":"RATH is better suited to the “what is in this dataset?” stage than to fixed operational reporting: automated recommendations, drag-and-drop exploration, and Data Painter all center on EDA. It remains open alpha, and causal analysis in particular should be treated as experimental.","zh":"RATH 更适合“先看看数据里有什么”这一阶段：自动推荐、拖拽探索和 Data Painter 都围绕 EDA，而不是固定报表。当前仍是 open alpha，尤其因果分析需要按实验功能看待。"}

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

{"steps":[{"en":"Open the RATH online sandbox first to try the currently exposed data-exploration features.","zh":"先打开 RATH 在线 Sandbox，体验当前公开的部分数据探索能力。"},{"en":"Import a CSV or JSON file, or connect a supported data source.","zh":"导入 CSV/JSON 文件或连接支持的数据源。"},{"en":"Use AutoPilot for automated exploration or drag fields in the manual interface to build visualizations.","zh":"使用 AutoPilot 获取自动探索结果，或在手动界面拖拽字段生成可视化。"},{"en":"Add Data Painter, data-wrangling, or the Alpha causal-analysis features when needed.","zh":"需要时再尝试 Data Painter、数据整理和 Alpha 阶段的因果分析。"}],"installAt":"cloud","difficulty":"easy"}

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

{"en":"RATH is an open-source exploratory data analysis and visualization tool from Kanaries. It can import CSV, JSON, or database data, use AutoPilot to generate exploratory findings and multidimensional visualizations, or let users choose fields and charts manually through a drag-and-drop interface.\n\nBeyond automated chart recommendations, RATH includes Data Wrangler, Data Painter, dashboards, natural-language queries, and a causal-analysis module. The README labels causal analysis as Alpha and describes the project itself as open alpha, so these experimental areas should not be treated as having the stability of a mature BI product.\n\nRATH is licensed under AGPL and provides an online sandbox for trying part of the product. The README points to a separate Kanaries product for additional AI features; those are not part of RATH itself.","zh":"RATH 是 Kanaries 开发的开源探索性数据分析与可视化工具。它可以从 CSV、JSON 或数据库载入数据，通过 AutoPilot 自动生成数据探索结果和多维可视化，也可以使用拖拽式界面手动选择字段和图表。\n\n除了自动图表推荐，RATH 还提供 Data Wrangler、Data Painter、Dashboard、自然语言查询和因果分析模块。README 将因果分析标注为 Alpha，项目整体开发状态也写明为 open alpha，因此这些实验功能不应按成熟 BI 产品的稳定性预期使用。\n\nRATH 采用 AGPL 许可证，并提供在线 Sandbox 用于体验部分能力。需要更多 AI 功能时，README 另行推荐其团队的其他产品，但这不属于 RATH 本体。"}

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

2.1.0

来源： GitHub 官方接口 · latest_release=2.1.0 · 2026/10/2

AGPL-3.0

来源： GitHub 官方接口 · license.spdx_id=AGPL-3.0 · 2026/10/2

否

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

{"en":"A visual exploratory-data-analysis tool that recommends charts and insights while supporting manual exploration, data wrangling, and experimental causal analysis.","zh":"面向探索性数据分析的可视化工具，可自动推荐图表和数据洞察，并支持手动拖拽分析、数据整理与因果分析实验功能。"}

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

browser

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

ai-apps

来源： 项目说明文档 · hint=ai-apps · 2026/8/15

web

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

data、product

来源： manual_curated · Manually curated from the verified project README; no AI draft. · 2026/8/17

是

来源： 仓库文件 · dockerfile=true; compose=true · 2026/10/2