RATH
Metabase
Tableau
Kanaries
Microsoft Power BI
Pretzel
Evidence.dev
Apache Superset
StackTips 2.0
RATH is the next-generation, Open Source alternative to traditional BI software such as Tableau. RATH automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals, and presents. It transforms your experience of Data Analysis with AI Auto-generated, multi-dimensional Data Visualization.
RATH
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Originally published at http://stacktips.com. - Source: dev.to / over 2 years ago
Today, I am excited to take a giant leap forward in my journey by open-source the codebase of my blog stacktips is now available on GitHub. - Source: dev.to / almost 3 years ago
Now I am running this blog stacktips.com. It is a custom-built site, using Python, Django, and VueJS. - Source: dev.to / almost 3 years ago
Prefix="og: https://ogp.me/ns#"> StackTips - Resources for Developers property="og:url" content="https://stacktips.com"> property="og:type" content="website"> property="og:title" content="StackTips- Resources for Developers"> property="og:description" content="StackTips provides developer friendly ways to learn programming. We aim to teach developers in the most efficient ways... - Source: dev.to / almost 3 years ago
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Kanaries - Kanaries(k6s) RATH is an automated data exploration tool that can help you automate discovery patterns and insights and generate charts and dashboards. It uses an AI-enhanced engine to automate the working flow in data analysis.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Pretzel - Keyboard shortcuts for the app you're currently using
Evidence.dev - Evidence enables analysts to build a trusted, version-controlled reporting system by writing SQL and markdown. Evidence reports are publication-quality, highly customizable, and fit for human consumption.