BugHerd
Marker.io
Usersnap
Userback
Pastel
Bird Eats Bug
Bugasura
Bugfender
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
BugHerd is the world's leading website feedback and bug-tracking tool. Globally, thousands of leading agencies and marketing teams love it for the ease and collaboration it brings to their website projects.
BugHerd has revolutionised the way agencies collect and manage website feedback from clients and internal teams. It is perfect for teams and individuals involved in website design and development. With BugHerd you can easily pin feedback directly to specific elements of the web pages. It acts as a transparent layer on the website that is visible only to you and your team. Submitted feedback and bugs are sent to a central Kanban task board that provides all stakeholders with full visibility of the project.
Get started in 3 easy steps:
STEP 1
Go to bugherd.com and click Start 14-day Free trial.ย
STEP 2
Sign up to create your first project. You can test BugHerd out on any website. It will only be visible to you.
STEP 3
And voila! You can start collecting feedback and invite others to try it out with you. Itโs that simple.
BugHerd PlotlyBugHerd is particularly recommended for web development teams, digital agencies, and product managers who are responsible for maintaining and improving websites. It is also a great fit for teams who work closely with clients and require an easy way to collect and manage client feedback directly in the context of the website in question.
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 BugHerd. 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.
Solutions like https://bugherd.com/ might make the issue context capture part more accurate. - Source: Hacker News / 4 months ago
This is a great idea, but scanning through appears to be basically https://bugherd.com/ ? Source: over 3 years ago
Competitors There are a few competitors out there that do something very similar (see https://ruttl.com/, https://usepastel.com/, https://bugherd.com/, https://www.markup.io/). This seems to suggest that there seems to be a general market for such a product. Source: over 3 years ago
Currently using BugHerd for web QA (love it) and looking for something similar for email. Source: over 3 years ago
Bugherd is good for this. Used it extensively when I worked for a web agency and it saved so much time. https://bugherd.com/. - Source: Hacker News / almost 4 years 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
Marker.io - Visual feedback and bug reporting tool for websites
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.
Usersnap - Usersnap is a customer feedback software for SaaS companies that need to constantly improve and grow their products.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
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.
