Highcharts
Highcharts, a Javascript-based charting library, makes it easy to add interactive charts and graphs to web or mobile projects of any size.
Highcharts is used by more than 80% of the 100 biggest companies in the world, as well as thousands of developers from a variety of industries, including finance, publishing, application development, and data science.
Highcharts is in active development since 2009. It remains a favorite among developers due to its robust feature set and ease-of-use documentation, accessibility features and vibrant community.
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SmartDraw
SmartDraw makes professional drawings and diagrams accessible to everyone. Non-technical users can quickly create floor plans, while professionals get the precision and scale they require. With industry-leading floor planning tools and an intuitive interface for traditional diagramming like flowcharts and organizational charts, SmartDraw delivers enterprise-ready power without unnecessary complexity.
Key features:
- Large collection of symbols and templates
- Ability to create custom shapes
- Import PDFs, images, Google Maps, Visio files, Visio stencils
- Draw to any scale
- Enrich drawings with data
- Generate manifest and bills of materials
- Generate diagrams from data automatically like org charts, AWS, Azure, PI Boards, and more
- Use natural language text prompts to generate diagrams with AI
- Save files directly to OneDrive, SharePoint, or Google Drive, or other preferred provider
- Integrations with the Microsoft and Google enterprise stack plus Confluence and Jira
SmartDraw supports a wide range of industries and real-world use cases, helping teams plan, document, and communicate more effectively. Construction professionals use it to create scaled floor plans, site layouts, and electrical and plumbing drawings. Fire departments rely on it for fire pre-planning and incident documentation, while police departments use it for accident reconstruction and crime scene diagrams. IT teams build network diagrams and cloud architectures, HR leaders create organizational charts, and product managers map out processes and workflows. From physical layouts to business processes, SmartDraw provides a single platform that adapts to the needs of each role and industry.
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PyQtGraph
PyQtGraph is a graphics and GUI library developed in pure Python, utilizing PyQt/PySide alongside NumPy, designed primarily for applications in mathematics, science, and engineering. Despite its complete implementation in Python, the library achieves impressive speed by effectively utilizing NumPy for numerical computations and the Qt GraphicsView framework for efficient rendering. Released under the MIT open-source license, PyQtGraph supports fundamental 2D plotting through interactive view boxes, enabling line and scatter plots with user-friendly mouse control for panning and scaling. Its ability to handle various data types, including integers, floats, and different bit depths, is complemented by functionalities for slicing multidimensional images at various angles, making it particularly useful for MRI data analysis. Furthermore, it facilitates rapid updates suitable for video display or real-time interactions, along with image display features that include interactive lookup tables and level adjustments. The library also provides mesh rendering capabilities with isosurface generation, while interactive viewports allow users to rotate and zoom with ease using the mouse. Additionally, it incorporates a basic 3D scenegraph, simplifying the programming process for three-dimensional data visualization. With its robust set of features, PyQtGraph caters to a wide range of visualization needs and enhances user experience through interactivity.
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LigPlot+
LigPlot+ serves as the advanced iteration of the original LIGPLOT software, designed for the automatic creation of 2D diagrams depicting ligand-protein interactions. This tool features a user-friendly Java interface that enables users to edit plots effortlessly through simple mouse click-and-drag actions. Besides the improved interface, LigPlot+ introduces several significant upgrades compared to its predecessor. When analyzing two or more ligand-protein complexes that share notable similarities, the software can automatically present their interaction diagrams either overlayed or side by side, with conserved interactions prominently highlighted for easy identification. Additionally, the LigPlot+ suite integrates an enhanced version of the original DIMPLOT program, which is focused on visualizing protein-protein or domain-domain interactions. Users have the flexibility to choose the specific interface they are interested in, allowing DIMPLOT to produce a detailed diagram that illustrates the residue-residue interactions within that interface. For further clarity in interpretation, the residues from one interface can also be displayed in their sequential order, enhancing the overall usability and functionality of the program. This comprehensive approach makes LigPlot+ a valuable tool for researchers seeking to understand complex molecular interactions more intuitively.
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