Bonsai
HoneyBook
FreshBooks
Dubsado
AND CO
Harvest
Wave Financial
Plutio
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Bonsai is a one-stop platform for creative and digital agencies, consultancies and professional service providers. It is designed to provide businesses with a complete and real-time overview of their business. Simplify your business operations and consolidate your projects, clients and team into one integrated, easy-to-use platform. From contracts, proposals and project management to client billing and revenue tracking, we've got you covered.
Team Time Tracking: Get an instant report of your team's tracked hours with accurate timesheets & see who's over capacity at a glance. Monitor your business's utilization & get clarity on your team's efficiency & profitability. Fully integrated into project management & billing.
Project Management: Assign projects & tasks to your team, prioritize your week and see exactly how your projects progress. Set project budgets & avoid unexpected costs. Kanban view, integrated timer for easy billing, and collaboration with external partners for an efficient work.
CRM: Manage your clients and their projects in one place. Create unique client profiles with all your notes, contacts, rates and tags. Invite your clients to your branded Client Portal where they can access projects, documents and links youโve shared with them.
Resource Management: Everything you need to allocate work to your team and track utilization. Manage team capacity, track your budget, tasks and hours and get insights on your business.
Reporting: Get better visibility into your business's performance and financial health with real-time reports. Make informed decisions with profitability reports, utilization reports, and more.
Bonsai 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 a lot more popular than Bonsai. While we know about 34 links to Plotly, we've tracked only 2 mentions of Bonsai. 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.
Hey there, If you want to easily build a first version of your product, I recommend using Stripe. In my company (hellobonsai.com) we've built out a few FinTech products in only a few months thanks to Stripe Treasury (providing an online bank account to our user) and Stripe Issuing (providing bank cards). Source: over 4 years ago
I tried a platform called Bonsai (hellobonsai.com), but I dropkicked them for hidden fees. They charged me a currency conversion fee when no currency conversion occurred. 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
HoneyBook - Business management reinvented.
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.
FreshBooks - The ideal accounting software for small business owners.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Dubsado - Dubsado is flexible โ it gives you 5 (now 6!) ways to add new leads. Best of all, 5 ways are automated.
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.