
Deputy
When I Work
Sling
ResourceGuru
Float
Bizimply
Shiftee
Ganttic
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
DeputyPlotly 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 a lot more popular than Deputy. While we know about 34 links to Plotly, we've tracked only 2 mentions of Deputy. 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.
A quick search yielded https://wheniwork.com/l/employee-scheduling and https://deputy.com. Not self hosted but seem like they would fit your needs. The latter might cost but I guess you can reach out to them for non-profit discounts perhaps. Source: over 3 years ago
Use deputy.com and switch to all breaks are unpaid. Clock off for any break longer than short toilet break. Source: over 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 / 6 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 / almost 2 years 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
When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.
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.
Sling - Sling is a free shift scheduling and communication software. It is built around four main features - shifts, messages, newsfeed and tasks, making it possible for managers to organize all aspects of their work on a single platform.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ResourceGuru - Resource management software that helps teams schedule with clarity, plan with flexibility, and deliver projects with confidence.
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.