
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
CMake
GNU Make
SCons
SBT
Ninja Build
FinalBuilder
npm
Meson
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.
Based on our record, CMake should be more popular than Plotly. It has been mentiond 55 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 / 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
I used CMAKE as my compiling tool followed by make. - Source: dev.to / 12 months ago
All this C++ project can't be ran as simple C++ code, so I will be building this whole package using CMake. It will streamline building this project onto other computers. - Source: dev.to / about 1 year ago
For knowledge in this aspect, you can refer to the relevant documents of the CMake build tool: https://cmake.org/. - Source: dev.to / over 1 year ago
I used CMAKE to define the build configurations. I find it very convenient that CMAKE generates the Makefile on Linux and can also create a Visual Studio project on Windows. - Source: dev.to / over 1 year ago
CMake stands for "Cross-platform Make" and is an open-source, platform-independent build system. It's designed to build, test, and package software projects written in C and C++, but it can also be used for other languages. Here's an overview of CMake and its features:. - Source: dev.to / over 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.
GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
SCons - SCons is an Open Source software construction toolโthat is, a next-generation build tool.
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.
SBT - SBT is a build tool for Scala, like Ant or Maven but with hieroglyphics.