basicprimitives
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Basic Primitives Diagrams for JavaScript - data visualization components library that implements organizational chart and multi-parent dependency diagrams, contains implementations of JavaScript Controls and PDF rendering plugins.
Data visualization diagramming components library for dependencies visualization and analysis that implements organizational chart, family chart, inheritance, dependency trees, and business ownership diagrams provides a reach feature set for automatic layout customization and visual node annotation.
One of our product's key features is that you can download the source code under any of the licenses, free or not, and make your edits to it. Source code will enable you to make modifications and guarantees long term security for your product. Additionally, the library's source code can be validated and easily tested through our samples, demos, and unit tests. The samples, demos, and unit tests can be found online and provided within the product packages.
Business intelligence systems and applications are designed for two major areas: reporting and analytics. Reporting applications display the original data sets and individual values without modifications, omitted values, roundings, and excessive abbreviations. On the other side, some applications are designed for data analytics and are focused on the most valuable and user-relevant data. Going as far as removing data deemed irrelevant to the end-user depends on what they are interested in analyzing. Our components provide various API options to the developers to configure our diagrams and use them for both reporting and analytics scenarios.
When using a graphics editor to draw your diagrams manually, it is common to have large gaps between the nodes. Large gaps between nodes make the chart unreadable, hard to edit, and navigate. On top of that, the diagram could have screen size intervals between items on a large scale, so it is easy to get empty screen size areas between branches of the large chart. Admittedly the computer UI allows the user to scale and fit the diagram for visualizing it on a single screen. But in that case, the items become small and unreadable as there is no scaling priority, and the nodes are just too small to be readable Here is a PDF example demonstrating the problem. The primary goal of our approach to organizational charts and other diagrams visualization is to resolve these issues. Our product component specializes in displaying large graphs on a single screen or nearly removing all scrolling while at the same time not affecting the diagram's usability. Autofit is only possible when the diagramming component is in control of the auto layout for the nodes.
The core problem of dependency diagrams layout is the endless number of permutations. As a result, every time we make any changes to the diagram's relations, we get a new "optimal" layout. However, that "optimal" layout can be so different from the previous "optimal" layout that the end-user needs to relearn the diagram again and again. This problem becomes worse the more nodes you have. The analysis takes so much time that it makes the automatic diagram layout useless. So the diagram mustn't change much between user edits. So to overcome that problem, we added support of user rules that the auto layout algorithm respects. The problem is that "hard" rules are equivalent to the manual layout if we start to define the placement of every node manually, which destroys the whole point of even having an auto layout for the nodes. We introduced "soft" rules, which our control follows as long as they don't contradict the purpose. Our layout algorithm ignores them when they are not applicable.
It is not apparent, but we group nodes in the diagram into distinct levels. They give the end-user a clear indication of a node's relations. For any given node, all nodes that are below it in the diagram are either it's dependents or minors. On the contrary, any nodes found above the node are either its parents or superiors. Levels give a simple and straightforward visual sorting method that helps when analyzing and viewing large diagrams.
Our auto-layout engine focuses much effort on the alignment of the nodes when visualizing them. Alignment is essential because when the end-user analyzes the diagram, it is easier to identify their dependencies by looking at their alignment and positions rather than tracing connection lines between nodes. For example, a set of nodes shaped into a pyramid formation gives a clear vision of parent-child relations between individual nodes and groups of children inside the data structure. We need minimal to no connection lines in such an ideal case, so we archive diagrams visualization's ultimate goal where node position shows node relation with other nodes within the chart.
By default, we display hierarchy as a regular tree, where children that belong to a single parent have the same rank and are equal to each other. Due to that, we place them as a single horizontal row below the parent. However, in real organizational hierarchies, we may have many exceptional cases where the end-user needs to have some child nodes placed differently from its peers. Our control provides child types that the end-user can use to set the child into a custom position around its parent node. These placement options are useful for creating roles such as an Assistant, Adviser, various Partners, and co-heads in the organization. By default, we place children into a horizontal line below the parent; this may result in the end-user having to scroll screens to view all of the nodes. So we provide options to place children into multiple rows or form them into a square/matrix formation to address this issue. Compacting the child nodes into a much smaller area reduces sideways screen scrolling and improves diagrams usability.
A diagram can have multiple parent and child nodes all interconnected between each other. This relationship results in an excessive number of connections between the nodes and creates a visual clutter in the diagram. In extreme cases, this makes the chart barely readable.
The following is an example of a complete bipartite graph having every parent node connected with every child node.
A complete bipartite graph is an extreme example of family relations. Still, it could happen, and the component automatically groups connectors into bundles, so it produces the following optimized set of connections:
This connector bundling method is actively used throughout the product to increase the readability of the diagrams.
Another typical problem with visualizing connections is the possible excessive amount of relations that can take place between multiple grandchildren and grandparent nodes. Usually, when we draw family diagrams, we are more interested to see the overall order of dependencies over the more direct and specific node relations. In a family tree case, we know that nodes have links to one another via their immediate parents. We can remove the direct ties between non-immediate parents and reduce the amount of visual clutter on the screen and still get the same dependencies order. By doing this, the diagram becomes a lot easier to analyze, view and navigate.
Every time we make changes to our diagrams, we need to visualize the performed transaction. Otherwise, it is hard to follow the organizational chart changes, so to show the diagram's transition from one state to another, the control provides various annotations to the end-user. Annotations are API elements that are attached to the diagram nodes. We draw our annotations either in front of the nodes or in the background. The annotations don't affect the placement of the nodes in any way. As a result, the control redraws them instantaneously without rendering or recalculating the actual diagram layout. It would be best if you avoid usage of annotations for every node in the diagram. The application is supposed to show them and add them to the chart only in the current user focus or operation that the user is performing with the data. Please, note that annotations have minimal mutual conflict resolution. As a result, it is possible to clutter the diagram with an excessive number of annotations. But they are nevertheless handy when describing or giving node-specific context or details to the chart.
Visualizing diagrams is a complex task that requires a lot of customizations and tuning. Long before we get something visible on the screen, we need to set and configure many diagram options. To simplify the first-time developer experience with our component, we provide default functionality for almost everything:
Do you want to use a Basic Primitives diagram for a personal website, a school site, or a non-profit organization? Then you don't need the author's permission. Just go on and use the Basic Primitives diagram. However, for commercial website and project uses, see our License and Pricing.
Through a full API, you can add, remove and modify individual items and their properties. The component will only update the visual elements affected by the API changes. We put in much effort to make it happen!
Copyright (c) 2013 - 2021 Basic Primitives Inc
Version 6.2.2
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Basic Primitives Diagrams for JavaScript - data visualization components library that implements organizational chart and multi-parent dependency diagrams, contains implementations of JavaScript Controls and PDF rendering plugins.
The npm package basicprimitives receives a total of 2,524 weekly downloads. As such, basicprimitives popularity was classified as popular.
We found that basicprimitives demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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