amCharts is a TypeScript library for JavaScript charts, offering 60+ chart types plus maps, stock charts, and Gantt charts. The site states the library is free to use and React-ready. Documentation lists React, Angular, Vue.js, Next.js, and other integrations.
Piperider
PipeRider is a tool described as code review for data in dbt. It compares data to highlight differences in impacted downstream dbt models, profiles dbt models, and generates a static HTML report each run. The project states that PipeRider has been superseded by Recce and will no longer be updated on a regular basis.
Features
- generates a static HTML report each time it runs Source: github.com
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0amCharts is a TypeScript library for JavaScript charts, offering 60+ chart types plus maps, stock charts, and Gantt charts. The site states the library is free to use and React-ready. Documentation lists React, Angular, Vue.js, Next.js, and other integrations.
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0Bokeh is a Python library for creating interactive plots, dashboards, and data applications in modern web browsers. Plots can go in Jupyter notebooks, be saved as standalone HTML, or run with live Python callbacks through the Bokeh server or embedded in an ASGI app. It includes tools for pan, zoom, hover, and selection.
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0Handbook and recipes for data-driven solutions of real-world problems.
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0OpenMetadata is an open-source AI context layer powered by metadata, semantics, and memory that provides a shared, rich understanding of data for people and AI. It was built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook. The unified platform supports data cataloging, discovery, quality, observability, governance, lineage, and collaboration.
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An R package that creates interactive Leaflet maps using the Leaflet JavaScript library and htmlwidgets. Maps can be used from the R console, RStudio, Shiny applications and R Markdown documents. It is linked to the open-source Leaflet JavaScript library for interactive maps.
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quanteda is an R package for managing and analyzing text, described as a fast, flexible, and comprehensive framework for quantitative text analysis in R. It provides functionality for corpus management, tokens and n-grams, keywords in context, sparse matrices, content dictionaries, and supervised and unsupervised machine learning.
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