
D3.js
Chart.js
Highcharts
Plotly
Google Charts
AnyChart
RAWGraphs
CanvasJS
Croptracker
Cropio
Tiger Jill
AGRIVI
SourceTrace
ifarma
AgVision
AgSquared
D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3โs functional style allows code reuse through a diverse collection of official and community-developed modules.
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Croptracker helps you keep accurate records, measure performance, and track labor and production costs.
Since 2006 we have helped thousands of growers, packers, co-operations, and associations of all sizes to enhance their productivity and optimize their operations with our desktop and mobile farm record keeping apps.
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CroptrackerCroptracker is recommended for farm managers, agricultural business owners, and producers who need a comprehensive solution for tracking crop production and management. It's particularly useful for those seeking to improve traceability, compliance, and overall farm operations.
Based on our record, D3.js seems to be more popular. It has been mentiond 175 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.
A third option for building stripes is a vector pattern employing D3. - Source: dev.to / 3 months ago
Libraries like D3.js (ISC license) and Chart.js (MIT license) render to SVG because charts need to be sharp at any zoom level and interactive โ tooltips on hover, clickable segments, animated transitions. A chart exported as PNG loses all of that. - Source: dev.to / 3 months ago
This is exactly the goal of the project-graph-generator project: scanning your sources to deduce a dependency graph and produce a simple HTML page using D3.js to display it. - Source: dev.to / 4 months ago
If you wanted to take this one step further, you could instead export the data and build an entire app around it using something like ApexCharts or D3 to create more interactive visualisations. You could even build a dashboard that tracks your performance over time across multiple races. Lots of interesting possibilities here as the data set is pretty rich. I highly recommend checking out the pyrox-client... - Source: dev.to / 4 months ago
That idea stuck with me: build the algorithm in a language where rendering the data structure is easy, then step through the construction visually. JavaScript and D3.js are a natural fit: the algorithm produces a tree, and D3 is very good at drawing trees. - Source: dev.to / 4 months ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Cropio - Cropio is a satellite field management system that facilitates remote monitoring of agricultural land and enables its users to efficiently plan and carry out agricultural operations.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Tiger Jill - Crop and Farm Management
Plotly - Low-Code Data Apps
AGRIVI - AGRIVI farm management software enables to plan, monitor and analyze all activities on farms easily.