devenv
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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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devenv might be a bit more popular than Plotly. We know about 50 links to it since March 2021 and only 34 links to Plotly. 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.
While there are absolutely a million of these env tools popping up which are absolutely vibe-coded slop, secretspec is not one of them. It's from the creator of https://devenv.sh and has been around for a while. - Source: Hacker News / 4 days ago
Probably not relevant to you, since it is yet another tool for managing your development environment, but maybe have a look at devenv (https://devenv.sh). it's main purpose is managing the development environment, but it has integration for pre-commit (or pmeven prek iirc) that let's pre-commit do it's thing, but takes over the dependency management. - Source: Hacker News / 9 months ago
Pretty sad to see almost verbatim copy of https://secretspec.dev :) I'm glad mise is catching up on https://devenv.sh features though. - Source: Hacker News / 9 months ago
There's a tool that makes the Nix way a lot more approachable: https://devenv.sh/ e.g. `languages.rust.enable = true` and you're off to the races. - Source: Hacker News / 10 months ago
If writing a devshell on your own seems more complicated than necessary, you can use tools like Devenv or Devbox (by the same team that built NixHub), which are both built on Nix. Devenv provides nice wrappers to automatically add languages, services (like postgres or redis), etc. On top of your flake, without having to do the shenanigans we had to do with Valkey. Devbox on the other hand, lets you skip writing... - Source: dev.to / over 1 year 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
Flox - Manage and share development environments with all the frameworks and libraries you need, then publish artifacts anywhere. Harness the power of Nix.
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...
Podman - Simple debugging tool for pods and images
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.