DEV.to VS Plotly
Compare DEV.to VS Plotly and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
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DEV.to
WordPress
Medium
Hashnode
Ghost
Drupal
GitHub
Stack Overflow
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
DEV.to 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.
As a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to seems to be a lot more popular than Plotly. While we know about 663 links to DEV.to, we've tracked only 34 mentions of 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.
Def _pending_leaves(comment): if not comment["children"]: if comment["user"]["username"] != ME: yield comment return for child in comment["children"]: yield from _pending_leaves(child) Def _pending_entries(comment, drafted_codes): for leaf in _pending_leaves(comment): if leaf["id_code"] in drafted_codes: continue yield { ... - Source: dev.to / about 11 hours ago
In part 1 I made the pitch: real-time UI in one language, no JavaScript build. Now let's build something and ship it two ways from the same source. - Source: dev.to / 7 days ago
Def pending(): try: drafted_text = open(DRAFTS, encoding="utf-8").read() except FileNotFoundError: drafted_text = "" drafted_codes = set(re.findall(r"^## (\S+)", drafted_text, re.M)) out = [] for a in api(f"/articles?username={ME}&per_page=100"): if not a["comments_count"]: continue for c in api(f"/comments?a_id={a['id']}"): if not... - Source: dev.to / 10 days ago
To think that all of this happens under the hood when Iโm just trying to access YouTube to listen to my favorite music playlists to go through the day is insane! It all happens so quicklyโฆ to think that all eleven of these steps occur instantly when I was first entering a website like https://dev.to, for instance, is mind-blowing. - Source: dev.to / 11 days ago
And keep an exit. This is the argument I made about small models from a different angle: the same task that costs $14,000/month at frontier scale often costs approximately nothing on a 4B model running on your own hardware. Not for everything - for the long tail of focused, repetitive work that makes up most of what we actually automate. Knowing which of your workflows would survive a 10x price increase is cheap... - Source: dev.to / 15 days 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
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
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.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Hashnode - A friendly and inclusive Q&A network for coders
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.