ONLYOFFICE Docs
ONLYOFFICE Docs is a secure online office suite for teams and businesses of all sizes. Create and edit docs, sheets, slides, fillable forms and PDFs. Collaborate with your teammates in real time using two co-editing modes, version history and other tools. Enable the AI assistant of your choice — ChatGPT, DeepSeek, Mistral, Groq AI, etc. Generate new content, summarize, translate and do more with your favourite AI tool while working on office files.
Integrate ONLYOFFICE Docs into your business platform, whether it be Odoo, Alfresco, Confluence, Pipedrive, Nextcloud, Redmine, SuiteCRM, etc., via an integration app (40+ available integrations).
Use Docs within ONLYOFFICE DocSpace, a room-based document collaboration platform equipped with the online office suite. Create dedicated spaces for different purposes, invite your teammates, assign access permissions and collaborate the way you like. With DocSpace, you can store, share and co-edit office files, and even interact with third parties.
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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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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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BioVinci
BioVinci streamlines the process of applying advanced visualization techniques to your high-dimensional data by automatically executing cutting-edge methods and suggesting the most effective one. Users can delve into high-dimensional datasets utilizing various machine learning approaches, including dimensionality reduction and feature selection. Transform extensive datasets into informative graphics effortlessly, without the need for coding skills. The platform provides a variety of graph types and customization options to effectively showcase research findings. It empowers scientists with little to no programming background to efficiently apply top-tier machine learning strategies to their data and produce elegant visualizations that uncover valuable insights that might otherwise remain hidden. We particularly emphasize the user-friendly design of BioVinci 2.0, ensuring that even those encountering it for the first time can navigate it with ease. With an extensive array of plot configurations tailored to meet diverse user requirements, our goal is to deliver visuals that are not only aesthetically pleasing and simple but also interactive, publication-ready, and rich in information. Additionally, we believe that enhancing the usability of our software will foster greater engagement and facilitate deeper understanding among researchers.
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