API Bakery
API Platform
Newsy
Python Poetry
Launchpad.net
Directus
Laravel Spark
Amplication
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
API Bakery
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.
No API Bakery videos yet. You could help us improve this page by suggesting one.
Plotly might be a bit more popular than API Bakery. We know about 34 links to it since March 2021 and only 24 links to API Bakery. 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.
If you understand all that and just want to get started as quickly as possible, use a project generator such as cookiecutter-django or API Bakery. Note that I'd avoid using these until you have a solid grasp of Django otherwise you'll have no idea what's going on. Source: about 3 years ago
My project generator does basically exactly this - determine how your data looks, set up a project and build out CRUD, then you can go do fun stuff. Source: about 3 years ago
> relocating them will actually break things Yes, absolute paths are hardcoded in several places. I actually have a use case for copying/relocating them (for https://apibakery.com), and simple search/replace of paths across the entire venv works, but I wouldn't recommend that as a best practice approach :-). - Source: Hacker News / over 3 years ago
Use a project generator like https://apibakery.com (disclosure, I'm the author). Source: over 3 years ago
Not op, but I have a similar project which does handle auth and a few other extra goodies like bg workers and dev shell: https://apibakery.com It uses a bearer token instead of JWT tho, for reasons outlined here: https://apibakery.com/blog/tech/no-jwt/ (HN discussion here: https://news.ycombinator.com/item?id=33019960). - Source: Hacker News / over 3 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
API Platform - REST and GraphQL framework to build modern API-driven projects
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.
Newsy - Monetize your un-used domains and turn them into your own content aggregator with 0 code!
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Python Poetry - Python packaging and dependency manager.
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.