Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Moon Modeler
erwin Data Modeler
ER/Studio
Quest Software
SQL Database Modeler
DbSchema
Datanamic Data Modeling
Toad Data Modeler
Moon Modeler is a data modeling tool for noSQL databases like MongoDB®, other databases compatible with MongoDB and Mongoose ODM. The software enables developers to visually draw data models and generate scripts. In Moon Modeler you can establish a connection to existing databases, create diagrams and generate comprehensive documentation or export your data model diagrams to PDF.
Plotly Moon ModelerPlotly 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.
Moon Modeler's answer:
With Moon Modeler, you can easily: - Design clear and structured NoSQL data models - Generate visual diagrams from existing databases - Create validation scripts for MongoDB - Generate nice interactive reports - Customize objects on a diagram and generate custom output
Moon Modeler's answer:
Customers say that Moon Modeler is extremely easy to use, offers nice visualizations, and provides many high-quality features at a great price.
Moon Modeler's answer:
Moon Modeler is ideal for developers and teams working with NoSQL data: database developers, architects, full-stack developers, teachers, and anyone who is passionate about NoSQL database design and works with MongoDB or similar database systems.
Based on our record, Plotly seems to be more popular. 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.
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 / 6 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 / almost 2 years 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
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.
erwin Data Modeler - erwin Data Modeler provides a collaborative environment to manage enterprise data though an...
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ER/Studio - ER/Studio is the most comprehensive data modeling suite, connecting data modeling with data governance to deliver a future-proof framework for your enterprise’s data.
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.
Quest Software - Simplify IT management and spend less time on IT administration and more time on IT innovation. It’s time to rethink systems and information management.
