Evidence.dev
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Evidence.dev
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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Based on our record, Plotly should be more popular than Evidence.dev. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Evidence is a business intelligence tool that generates polished reports from SQL queries and Markdown. Write SQL, add charts, deploy as a static site. - Source: dev.to / 4 months ago
It would be better to link to the main page, https://evidence.dev/, which is titled "Evidence - Business intelligence as code". - Source: Hacker News / over 1 year ago
DuckDB is really having a moment The ecosystem is very active, and they have recently opened up "community extensions" to bring your own functions, data types and connections. A barrier at the moment is that extensions are written in C++, though this limitation should be removed soon. I've been building a lot on top of DuckDB, two of the projects I'm working on are linked in the article: - Evidence... - Source: Hacker News / over 1 year ago
Reminds me of https://evidence.dev/. - Source: Hacker News / almost 2 years ago
Https://opensource.com/article/20/4/plot-data-python gives some common options. What kind of plots are you trying to achieve? Interactive? Jupyter notebooks? Reporting? SVG or HTML output? You might also like to look at things like https://evidence.dev. - Source: Hacker News / about 2 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Blazer Rails Engine - Open source business intelligence tool.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
RATH - RATH - Your Open Source Augmented Analytics Alternative for Business Intelligence, Redefine the Exploratory Data Analysis Workflow with AI.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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.
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.