
Bloomerang
DonorPerfect
Kindful
Oracle NetSuite
DonorSnap
Qgiv
Classy
Salsa CRM
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Bloomerang
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.
NOT recommended at all! We had a terrible experience with Bloomerang. In addition to awful customer services, the hidden charges to upgrade the packages made their services pathetic. Those charges were kept 'hidden' at the time of signing up. Seems like minimizing customer benefits and maximizing the company profit at any cost is their only agenda. Such wastage of money and time with these highly expensive and not-at-all-worth-it services.
Based on our record, Plotly seems to be a lot more popular than Bloomerang. While we know about 34 links to Plotly, we've tracked only 2 mentions of Bloomerang. 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.
Boomerang is considered one of the best cloud-based donor management solutions for non-profits. Not only does the donor management software target the donor database, but also it contributes to revenue increment. Bloomerang helps fundraisers with building donor relationships and maintaining the organisationโs retention rate. The platform increases donor engagement while maintaining impactful fundraising. The... Source: about 3 years ago
Is anyone using, or has used, Bloomerang? A client is thinking of using it and I don't have any experience with it. Just wondering about overall opinions, pros and cons, etc. Source: almost 5 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
DonorPerfect - Nonprofits use DonorPerfect Fundraising Software for their Donor Management, Grant & Gift Tracking, Moves Management, Mass Mailing needs and more.
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.
Kindful - Nonprofit donor database + fundraising tools all in one
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Oracle NetSuite - NetSuite is the leading integrated cloud business software suite, including business accounting, ERP, CRM and ecommerce software.
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.