
Markdrop
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D3.js
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Markdrop
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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Markdrop's answer
Markdrop combines powerful visual feedback, screen recording, and developer-ready bug reporting into a single, lightweight tool that feels invisible until you need it. Unlike bloated alternatives, Markdrop is fast, easy to integrate, and built for modern teams who care about speed and clarity with no Chrome extension or signup friction required.
Markdrop's answer
Affordable, transparent pricing: Markdrop offers all the core features at a fraction of the cost of tools like Markup.io or Pastel.
Designed for devs and designers: Every comment can include logs, screen recordings, and environment data ready for developers to act on.
No friction for users: Share a link and anyone can leave feedback. No browser extensions, no accounts, no hassle.
Fast and privacy-respecting: Lightweight script, GDPR-compliant, and zero tracking bloat.
All-in-one: Combines comments, annotations, bug reporting, and async video so teams donโt need 3 different tools.
Markdrop's answer
Markdrop is built for:
Founders and indie builders who want fast feedback without complex tools
Designers and PMs collecting client or stakeholder feedback
Developers who want bug reports with context, not vague screenshots
Agencies delivering websites and apps that need client review In short, itโs for lean product teams who value clarity and speed.
Markdrop's answer
Markdrop was born out of frustration. As a solo founder building multiple products, I (Manuel) kept running into the same feedback pain, long email chains, vague bug reports, and overpriced tools that did too much or too little. So I built what I needed: a clean, no-fuss tool to drop comments directly on a site, see what users saw, and get back to shipping.
Markdrop's answer
Which are the primary technologies used for building your product?
Frontend: Svelte 5 Backend: Cloudflare Workers, D1, and Durable Objects Database: Wrangler DB (D1) DevOps/Infra: Cloudflare Pages + R2 for static assets and file storage
Markdrop's answer
Indie founders using Markdrop to launch and iterate faster
Agencies working with clients.
YC applicants using it to get fast design review
No-code builders collecting client feedback inside Webflow
Internal product teams replacing Slack screenshots with structured feedback
Based on our record, Plotly seems to be more popular. 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
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RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Webvizio - This free website feedback tool & website review software allows managers and teams to collaborate on website revisions in real time. Join for free now!
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.