
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Buildah
Podman
containerd
CRI-O
Crane
ZeroVM
BuildKit
LXD
Plotly
BuildahPlotly 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, Plotly should be more popular than Buildah. 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 / 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
Modern Docker releases use BuildKit, an efficient builder developed by Docker, whereas Podman uses Red Hat's Buildah. However, both solutions output OCI-compliant images, so there's no practical difference between the two for standard build workflows. - Source: dev.to / 11 months ago
I suspect that the GP was really asking "why not use a different tool", like buildah , buildpacks , nix ,. - Source: Hacker News / about 1 year ago
Buildah specializes in building OCI-compliant container images, offering a more granular and secure approach to image creation compared to traditional Dockerfile builds. - Source: dev.to / over 1 year ago
Lockdown your Dockerized build environments --- Because privileged mode is insecure, you should restrict your CI/CD environments to known users and projects. If this isn't feasible, then instead of using Docker, you could try using a standalone image builder like Buildah to eliminate the risk. Alternatively, configuring rootless Docker-in-Docker can mitigate some --- but not all --- of the security concerns... - Source: dev.to / about 2 years ago
In my experience, not using docker to build docker images is a good idea. E.g. buildah[0] with chroot isolation can build images in a GitLab pipeline, where docker would fail. It can still use the same Dockerfile though. If you want to get rid of your Dockerfiles anyway, nix can also build docker images[1] with all the added benefits of nix (reproducibility, efficient building and caching, automatic layering,... - Source: Hacker News / 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.
Podman - Simple debugging tool for pods and images
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability
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.
CRI-O - Lightweight Container Runtime for Kubernetes