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Latest commit @ObservedObserver ObservedObserver doc: update walkthrough video ... 1 3dcee19 Apr 24, 2023 doc: update walkthrough video 3dcee19 1 Git stats * 1,554 commits Files Permalink Failed to load latest commit information. Type Name Latest commit message Commit time .github/workflows feat: adjust for internal version April 7, 2023 19:09 apps build(deps): bump golang.org/x/text in /apps/rath-service February 23, 2023 10:34 docs doc: update slack link February 19, 2023 12:25 packages Merge branch 'common-ui-upgrade' April 24, 2023 03:17 services fix:Changed the data format.The method of obtaining data has been cha... February 9, 2023 13:42 .clocignore tmp: push some uesless code August 31, 2022 11:52 .gitignore feat: prediction poc November 27, 2022 03:50 .prettierrc chore: tmp (new top class for getInsightSpace) June 11, 2020 00:38 CHANGELOG.md doc: update December 10, 2022 19:17 CONTRIBUTING.md Create CONTRIBUTING.md December 5, 2022 15:45 LICENSE doc: update info September 15, 2022 00:49 README.md doc: update walkthrough video April 24, 2023 09:06 buildspec.yml refactor: rename olap-connector November 1, 2022 14:19 citations.md fix: stat err November 23, 2022 22:03 client.dockerfile fix: client docker node version January 17, 2023 14:44 docker-compose.yml fix: client docker node version January 17, 2023 14:44 package.json chore: fix utils build April 23, 2023 22:00 yarn.lock chore: update lock April 24, 2023 03:18 View code [ ] Introduction Get started Features Walkthroughs Import data from online databases or CSV/JSON files. View statistics from your data source Data Preparation One-click automated data analysis with visualizations Use RATH as your Copilot in Data Exploration Ask about your data Manually explore your data with drag and drop: Interactive data analysis workflow by data painting Causal Analysis (Alpha stage) Supported Databases Developer Documentation Project Status Community Contributions LICENSE (AGPL) README.md [6874747073] Follow RATH on LinkedIn Follow RATH on Youtube Follow RATH on Twitter Read about RATH on medium Join RATH on Discord Join RATH on Slack AGPL License RATH GitHub Stars RATH GitHub Forks [6874747073] [68] English | Ri Ben Yu | Jian Ti Zhong Wen Introduction RATH is not just an open-source alternative to Data Analysis and Visualization tools such as Tableau, but it automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization. rath-walkthroughs-lite.mp4 Get started Get started with RATH now! * Sandbox demo for parts of features * Read RATH Docs * Video introducing RATH's data painter Features * AutoPilot for Data Exploration: Get Insights with One Click! Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore and visualize dataset with one click. * Copilot for Data Exploration: RATH will work as your copilot in data science, learn your intends and generate relevant recommendations. * Natural Language interface: Ask questions in natural language to get answers/visualizations from your data. * AutoVis: RATH will generate the best visualization for the data you selected. It makes you focus on data and variables, not how to make a visualization. * Data Wrangler: Automated data wrangler for generating summary of the data and data transformation. * Data Painter: An interactive, instinctive yet powerful tool for exploratory data analysis by directly coloring your data, with further analytical features. Watch this video demonstrating about how to discover data insights with Data Painter. * Dashboard: build a beautiful interactive data dashboard (including a automated dashboard designer which can provide suggestions to your dashboard). * Causal Analysis: Identify and examine the causal relationship between variables, which can help explore the data, create better prediction models and make business decission. Walkthroughs Import data from online databases or CSV/JSON files. [6874747073] View statistics from your data source [6874747073] Data Preparation RATH support data preparation with black magic like predictive transformation operations. It will automatically generate suggestions of transformations and cleaning, etc. [6874747073] One-click automated data analysis with visualizations Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore and visualize dataset with one click. [6874747073] Use RATH as your Copilot in Data Exploration RATH will work as your copilot in data science, learn your intends and generate relevant recommendations. semi-automation.mp4 Ask about your data Ask questions about your data, RATH integrates with GPT to generate answers and visualizations. [6874747073] Manually explore your data with drag and drop: Manually explore your data with a Tableau-like UI Manual Exploration is an independent embedding module. You can use it independently in your apps. For more details, refer to the README.md in in packages/graphic-walker/README.md. Install Graphic Walker yarn add @kanaries/graphic-walker # or npm i --save @kanaries/graphic-walker Interactive data analysis workflow by data painting Data Painter Video on Youtube Interactive data analysis by painting Causal Analysis (Alpha stage) Causal analysis could be defined as the way to identify and examine the causal relationship between variables, which can help explore the data, create better prediction models and make business decision. RATH's causal analysis feature include: * Causal Discovery * Editable graphical causal models * Causal interpretability * Interactive tools for deeper exploration * What-if analysis Causal Analysis For more about Causal Analysis features, refer to RATH Docs. Supported Databases RATH supports a wide range of data sources. Here are some of the major database solutions that you can connect to RATH: Amazon Athena Amazon Redshift Apache Spark SQL Apache Doris Clickhouse Apache Hive MySQL Postgre SQL Apache Impala Apache Kylin Oracle AirTable If you want to add support for more database types or data engines, feel free to Contact us Developer Documentation RATH software is in open alpha stage. We are working on improving its code and documentation. If you are using RATH for your project(s), please let us know what are you using it for by emailing us at support@kanaries.org. Feedbacks are also welcomed. If you find a bug or have a feature request, please create an issue. We encourage you to check out our RATH Docs for references and guidance. Project Status Alt Community Kanaries community is a place to have open discussions on features, voice your ideas, or get help with general questions. Get onboard with us through the following channels: Our developer community is the backbone of the ongoing RATH project. We sincerely welcome you to join our community, participate in the conversation and stay connected with us for the latest updates. * Join our Slack * Join our Discord Feel free to contribute to the RATH project, submit any issues on our GitHub page, or split your grand new ideas in our chats. Join our Slack community Join our Discord community Please consider sharing your experience or thoughts about Kanaries RATH with the border Open Source community. It really does help! GitHub Repo stars GitHub Repo stars GitHub Repo stars GitHub Repo stars GitHub Repo stars Contributions Please check out the Contributing to RATH guide for guidelines about how to proceed. Thanks to all contributors [?] [6874747073] LICENSE (AGPL) Rath is an automated data analysis and visualization tool (auto-EDA). It is a free and open-source software licensed under the AGPL. --------------------------------------------------------------------- Branded icons are licensed under their copyright license. Have fun with data! [?] Back to Top About Automated data exploratory analysis and visualization tools. rath.kanaries.net Topics visualization machine-learning eda data-visualization data-analysis tableau data-exploration causality causal-inference datamining autovis causal-discovery automated-visualization k6s automated-data-analysis augmented-analytics kanaries tableau-alternative Resources Readme License AGPL-3.0 license Stars 2.1k stars Watchers 20 watching Forks 119 forks Report repository Releases 4 2.0.0 Latest Apr 24, 2023 + 3 releases Packages 0 No packages published Contributors 13 * @ObservedObserver * @AntoineYANG * @jojocys * @Asm-Def * @QiMeng7m * @dependabot[bot] * @ysj0226 * @p1ng-request * @k6sdevbob * @HeJinYang123 * @benlesh + 2 contributors Languages * TypeScript 75.4% * Python 12.6% * JavaScript 10.3% * Jupyter Notebook 1.1% * HTML 0.2% * CSS 0.1% * Other 0.3% Footer (c) 2023 GitHub, Inc. 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