Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
StitchMath
Ravelry
LoveCrafts
Yarn Over Hook
StitchMath: The AI-Powered Engineering Engine for Knitters.
Stop guessing and start stitching with precision. StitchMath is a high-performance digital toolkit designed to solve the most frustrating part of fiber arts: the math. Whether you are scaling a pattern or substituting yarn, our tools ensure a perfect fit every time.
Key Capabilities:
AI Pattern Assistant: Powered by Llama 3 to analyze complex pattern instructions and project requirements instantly.
20+ Specialized Calculators: Professional-grade tools for Gauge Adjustment, Evenly Spaced Increases/Decreases, and Sleeve Shaping.
Yarn Intelligence: Built-in engines for Yarn Substitution, Yardage Estimation, and Weight (WPI) calculations.
Global Standard Support: Seamlessly toggle between Metric (cm/g) and US (in/oz) units for international compatibility.
Mobile-Optimized: A clean, lightning-fast interface designed for use in your knitting chair.
Move beyond "ripping out" work. Use StitchMath to engineer your creativity.
Plotly
StitchMathPlotly 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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StitchMath's answer:
Unlike static calculation charts, StitchMath integrates an AI Pattern Assistant with 20+ specialized calculators to solve complex project logic in real-time. We bridge the gap between creative design and mathematical precision for fiber artists.
StitchMath's answer:
Choose StitchMath for its all-in-one utility hub and modern interface. We provide unique tools like Yarn Substitution Engines and Sleeve Decrease calculators that are typically hidden behind paywalls or buried in 500-page manuals elsewhere.
StitchMath's answer:
Our primary audience includes knitting and crochet enthusiasts, professional pattern designers, and fiber arts hobbyists who want to ensure a perfect garment fit without manual math errors.
StitchMath's answer:
StitchMath was born from the frustration of "yarn chicken" and poorly fitting hand-knits. We set out to build a precision dev-tool for makers, applying data-driven logic to traditional crafting.
StitchMath's answer:
StitchMath is built as a high-performance Web App utilizing a modern technical framework, Cloudflare Workers for logic processing, and Llama 3 for its AI-driven diagnostics engine.
StitchMath's answer:
Independent Pattern Designers Knitting Community Leaders Professional Fiber Arts Instructors Boutique Yarn Shop Owners
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 / 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
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.
Ravelry - Ravelry is a community site, an organizational tool, and a yarn & pattern database for knitters and crocheters.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
LoveCrafts - Knitting yarn, patterns, needles, crochet accessories, hooks, craft books and kits, you name it, you'll find it. You can shop all the craft materials you need to start your next project.
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.
Yarn Over Hook - The Global Home of Crochet