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D3.js
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Kitemaker
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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Based on our record, Plotly should be more popular than Kitemaker. 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.
When we built Kitemaker [0] we elected to not use CRDTs. We built our sync engine after reading the blog article Figma wrote about they didn't need CRDTs because they have the server arbitrating any conflicts. We ended up taking the same approach. It's worked out very well for us though in a tool like our "last one in wins" generally works fine and doesn't lead to a lot of surprises. For documents, we had to do... - Source: Hacker News / over 2 years ago
There is no one-size-fits-all approach to writing descriptions, so you need to figure out what works best for you and your team. However, seeing real-world examples might inspire you to find new ways to write them. Here are some examples from descriptions we have written for Kitemaker. - Source: dev.to / over 3 years ago
Kitemaker.co - Collaborate through all phases of the product development process and keep track of work across Slack, Discord, Figma, and Github. Unlimited users, unlimited spaces. Free plan up to 250 work items. - Source: dev.to / almost 4 years ago
At Kitemaker, we recently made the leap to Recoil.js for our React state management needs. Before using Recoil, Kitemaker used a simple state management solution built upon useReducer(). We built Kitemaker to be super fast, responding to every user interaction instantly. However, in organizations with lots of data, we sometimes had a difficult time achieving this due to unnecessary re-renders. Kitemaker has a sync... - Source: dev.to / almost 4 years ago
Definitely feel your pain. We did a full OT implementation for our startup [0] and it was a beast. We based it on Slate.js which has a nice concept of operations that maps nicely to OT, but it was still a lot of work to get it working well (and there are still rough edges we try to improve all of the time). We did base it on Postgres in the backend so really looking forward to what the Supabase team comes up with... - 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 / 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
Linear - Streamlined issue tracking for software teams
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.
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Jira - The #1 software development tool used by agile teams. Jira Software is built for every member of your software team to plan, track, and release great software.
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.