Podman
containerd
Buildah
CRI-O
Crane
runc
LXD
ZeroVM
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
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, Podman should be more popular than Plotly. It has been mentiond 135 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.
Most of the readers should know Docker, perhaps Podman or LxC/Incus. Maybe OpenVZ was one of your tool in the past. In fact, those projects are userland interfaces to control Linux namespaces and cgroups. All those features mixed together offer a way to isolate running processes from different point of view (pid, network, users, etc...). - Source: dev.to / about 2 months ago
Docker runs a long-lived background daemon (dockerd), traditionally as root. Every CLI call talks to it over a socket. Podman doesn't. Each podman invocation is just a regular process you run as your own user. - Source: dev.to / about 2 months ago
Our setup is completely local. We will use exclusively Podman. All the executions are done on Windows 11 using Command Prompt terminals under VScodium. You might need to apply some minor changes for your environment (if any). - Source: dev.to / about 2 months ago
A development container (devcontainer) describes the developer environment as an OCI image (often built with a Dockerfile). The usual runtime is Docker, but tools such as Podman are compatible with the same workflow. For simplicity, this chapter assumes Docker is installed on your machine. - Source: dev.to / 3 months ago
Podman installed, RamaLama uses it as the default container engine. - Source: dev.to / 3 months 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
containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability
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.
Buildah - Buildah is a web-based OCI container tool that allows you to manage the wide range of images in your OCI container and helps you to build the image container from the scratch.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
CRI-O - Lightweight Container Runtime for Kubernetes
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.