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asdf-vm
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.
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Based on our record, asdf-vm should be more popular than Plotly. It has been mentiond 184 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.
I switched from brew to https://asdf-vm.com/ for this very reason. I don't understand how devs don't use a tool that makes multiple versions of everything possible. - Source: Hacker News / about 2 months ago
For those who don't know: Mise is a version manager, and is said to be an improvement over its predecessor, asdf: https://mise.en.dev https://asdf-vm.com. - Source: Hacker News / 2 months ago
I'm getting into Elixir, but before I could start doing anything I had to install it. Since I use asdf to manage language versions, I wrote down how I did it on my machine. - Source: dev.to / 3 months ago
Dev Tools : A version manager for developer tools (alternative to ASDF, Pyenv, Tfenv/Tenv, etc.). - Source: dev.to / 7 months ago
Asdf is a predecessor to mise, and focuses language version management only. https://asdf-vm.com. - Source: Hacker News / 9 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 / 5 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
Homebrew - The missing package manager for macOS
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.
NixOS - 25 Jun 2014 . All software components in NixOS are installed using the Nix package manager. Packages in Nix are defined using the nix language to create nix expressions.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
RVM - Ruby Version Manager. RVM is a command-line tool which allows you to easily install, manage, and work with multiple ruby environments from interpreters to sets of gems.
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.