Canine
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Chart.js
Canine
PlotlyNo features have been listed yet.
Plotly 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 Canine. 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.
Been working on an open source, free, Heroku alternative at https://canine.sh for about two years. I feel like even after all these years weโre still missing the devex that Heroku provided. Itโs been super fun to experiment & integrate MCP into it. We just passed 2000 developers last month actively deploying with canine. - Source: Hacker News / 2 months ago
Agreed, at the moment, I have it set up on https://canine.sh which is fully open source. - Source: Hacker News / 4 months ago
Iโve been working on an open source tool that turns your Kubernetes into a Heroku like PaaS โ https://canine.sh A problem that we had at my last startup was that we got stuck between not wanting to spend too much time on devops, and getting price gouged by Heroku. We were too big for the deploy to a VPS type options like coolify, but too small to justify hiring a full time Devops. Eventually a few of us had to... - Source: Hacker News / 5 months ago
I've been developing and maintaining https://canine.sh and https://hellocsv.github.io/HelloCSV/ for some time now, and its really odd what pops up when you google these. Neither of these projects anything requiring payment anywhere, but tons of sites pop up trying to "sell" these projects. I wouldn't even know what that means and I'm kind of tempted to drop in a credit card to see what happens. Would they auto... - Source: Hacker News / 5 months ago
Been building an open source version of railway at https://canine.sh. Offers all the same features without the potential of a vendor lock-in / price gouging. - Source: Hacker News / 5 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
Pagecord - Effortless blogging from your inbox
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.
OnlineOrNot - Reliable alerts when your website goes down.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
TypeQuicker - The AI Typing Application
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.