Procurify
Precoro
Ariba
Coupa
BuyerQuest
Bellwether
AvidXchange
Spendesk
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Procurify enables maturing companies to be proactive about managing their spend culture by providing a combination of accessible data, convenient process and manageable controls.
Procurify is the go-to spend management solution for mid-sized companies. Across the world, hundreds of companies use Procurify to track, control and analyze their spending. With its comprehensive workflow and user-friendly interface, Purchasing, Procurement, and Finance teams have been able to implement Procurify across departments and teams, to create a better Spend Culture. Get set up in as little as two weeks and let us help you transform your procurement process.
Procurify
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.
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
Precoro - Precoro is a robust procure-to-pay system for your business. Automated purchasing, simple sourcing and spend analytics โ all in one easy-to-use platform!
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.
Ariba - Ariba is a software and information technology services platform providing companies with collaborative business commerce solutions.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Coupa - Coupa is a cloud-based suite of financial applications providing spend management solutions to companies.
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.