
Ganttic
ResourceGuru
Float
When I Work
Shiftee
Sling
MIDAS
eResource Scheduler
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
With a real-time overview of your organization's resources, projects, and tasks, Ganttic simplifies resource scheduling and management. Visual Gantt charts help you to not only allocate resource quickly, but check in on the progress of your projects. While features such as drag and drop scheduling make it easy to update plans smoothly and on-the-go.
With Ganttic you can make a clear plan of action for your projects and their capacity planning. Plus, built in metrics such as utilization tracking ensures you're getting the best efficiency from your team. Create plans from the POV of resources or projects, switching at anytime for new insights.
All this plus automated reports, unlimited sharing and users, and world-class customer support make Ganttic the perfect planner for your resource planning. For the past 10 years Ganttic has been serving clients from every industry and in every corner of the world. Start with a free trial and see why!
Ganttic
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.
Ganttic's answer
Ganttic is for managers unsatisfied with their one-size-fits-all software, and anyone who is looking for something more customizable, flexible and personalized.
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 / 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
ResourceGuru - Resource management software that helps teams schedule with clarity, plan with flexibility, and deliver projects with confidence.
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.
Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.
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.