Ninja Build
GNU Make
SCons
npm
Meson
Ender
JSHint
MakeMe
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Ninja Build
PlotlyNinja Build is recommended for developers working on large-scale projects with complex build processes, particularly in environments where build speed and efficiency are prioritized. It is especially beneficial for projects that are continuously integrated or require frequent incremental builds.
Plotly 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.
Plotly might be a bit more popular than Ninja Build. We know about 34 links to it since March 2021 and only 23 links to Ninja Build. 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.
On Windows, download the binaries from the cmake and Ninja websites. After that, add the executables to your PATH. - Source: dev.to / 11 months ago
Under the hood, Rescript uses a build system called Ninja. Ninja is similar to Make, but cross-platform and more minimal/performant. - Source: dev.to / over 2 years ago
Ninja was super easy to pick up even after using make for some time (10+ years). GN is just a ninja generator that is optional. https://gn.googlesource.com/gn/+/main/docs/quick_start.md https://ninja-build.org/. - Source: Hacker News / over 2 years ago
Really? I thought most new projects were switching to ninja[^1] and have never used it. [^1]: https://ninja-build.org/. - Source: Hacker News / over 2 years ago
Ninja showed real promise for a while, but then CMake grew up and people stopped seeing a reason to leave it behind. Source: about 3 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
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.
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.
SCons - SCons is an Open Source software construction toolโthat is, a next-generation build tool.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
npm - npm is a package manager for Node.
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.