Open Source Mac Data Visualization Software - Page 44
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Data Visualization Software for Mac
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Jupytab
Display in Tableau data from Jupyter notebooks
Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab. -
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Jupyter Dock
Perform molecular docking protocols interactively
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results. These notebooks are Python 3 compatible. Each protocol and Jupyter notebook has its own test folder for testing and reproducibility evaluation. For all notebooks, the demonstration includes the use of AutoDock Vina and Ledock. When available, some alternatives are mentioned in the protocol. Jupyter Dock's initial goal was to provide a set of pythonic protocols for molecular docking. Nonetheless, there is a dearth of docking tools in Python for all of the steps and protocols (i.e. pocket search for blind docking). Furthermore, the majority of well-known and widely used molecular docking software have been developed as stand-alone executables or as components of software suites. -
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Jupyter Notebook Viewer
A Jupyter notebook viewer for macOS
A native macOS application to view Jupyter/IPython notebooks. -
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KAGEfx is a framework to load shader programs based on the OpenGL Shading Language contained within an XML file that holds descriptive metadata about the shader and to replace shader modules on the fly with respect to their level-of-detail metadata.
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An Eclipse plug-in and KDE application to visually and interactively explore arbitrary graphs (collections of nodes and edges) specified in the Graph eXchange Language (GXL).
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KMeansAniX
Animation of kmeans clustering using X Window System
Open source animation of kmeans clustering in X Window System using the C++ libplotter library. Supports Linux, Mac, and BSD. Includes common initialization methods such as Forgy, Macqueen, random, and angular. Sample videos are available through the Files Tab above. The SVN repo is accessible thorugh the Code Tab above. Requires a C++ compiler, libplot-dev, and libncurses5-dev Mac alternative to libplot-dev: macports plotutils +x11 -
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Kale
Kubeflow’s superfood for Data Scientists
KALE (Kubeflow Automated pipeLines Engine) is a project that aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows. Kubeflow is a great platform for orchestrating complex workflows on top Kubernetes and Kubeflow Pipeline provides the mean to create reusable components that can be executed as part of workflows. The self-service nature of Kubeflow make it extremely appealing for Data Science use, at it provides an easy access to advanced distributed jobs orchestration, re-usability of components, Jupyter Notebooks, rich UIs and more. Still, developing and maintaining Kubeflow workflows can be hard for data scientists, who may not be experts in working orchestration platforms and related SDKs. Additionally, data science often involve processes of data exploration, iterative modelling and interactive environments (mostly Jupyter notebook). -
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Karesansui is an open-source virtualization management application made in Japan. It's smart graphical user interface lowers your management cost, and brings a total management/audit solution for both physical and virtual servers. Full featured RESTful interface allows customizing and integration with other management/billing systems.
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Karpor
World's most promising Kubernetes Visualization Tool
Karpor is Intelligence for Kubernetes. It brings advanced Search, Insight and AI to Kubernetes. It is essentially a Kubernetes Visualization Tool. With Karpor, you can gain crucial visibility into your Kubernetes clusters across any clouds. -
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Karto
Tool to work on map data, to check the data and generate your own maps
Karto allows to calibrate a scanned map (or aerial photos) with some known geo-points (Lambert, UTM, ...). After that, you can add any points (GPS points) in the map to build your own map. You can also add a transparent GIF image in the map after calibration (cave, mines, roads, ...). You can realize your own cartes with the data you add inside adding/showing/hiding layers of data. You can import/export your data files (after checking and correcting them) in differents formats. -
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KernelAbstractions.jl
Heterogeneous programming in Julia
KernelAbstractions (KA) is a package that enables you to write GPU-like kernels targetting different execution backends. KA is intended to be a minimal and performant library that explores ways to write heterogeneous code. -
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KernelDensity.jl
Kernel density estimators for Julia
Kernel density estimators for Julia. -
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Kinetic.jl
Universal modeling and simulation of fluid mechanics upon ML
Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs. -
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KittyTerminalImages.jl
Allows Julia to display images in the kitty terminal editor
A package that allows Julia to display images in the kitty terminal editor. -
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Kity Minder
Baidu brain map
KityMinder is another masterpiece of the f-cube group (formerly the UEditor group) of the Baidu FEX team. As an online brain map editing tool, it has an interactive experience no less than the native brain map tool. At the same time, it gives full play to the advantages of web cloud storage, and can directly synchronize the edited brain map to the cloud. In addition, with the original "cloud disk sharing" function, users can directly generate an online link from the currently edited brain map with one click and share it with other users to achieve seamless communication. KityMinder is implemented based on SVG technology and supports most major browsers. -
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Koolon is a simple graph (network) modeling tool with interactive data visualization like Prefuse. It allow to create entities, relations, ontologies, directed and undirected graphs and any abstract network models.
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Krisk
Statistical Interactive Visualization with pandas+Jupyter integration
Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization. -
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Krylov.jl
A Julia Basket of Hand-Picked Krylov Methods
If you use Krylov.jl in your work, please cite it using the metadata given in CITATION.cff. -
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Kubernetes History Inspector
A log viewer for Kubernetes troubleshooting
The khi repository is a Google Cloud open-source project focused on infrastructure and system-level tooling, typically aimed at enabling advanced cloud-native workflows, observability, or orchestration in Kubernetes-based environments. It is designed to support engineers working with distributed systems by providing utilities and abstractions that simplify deployment, monitoring, or operational management. The project aligns with Google Cloud’s broader ecosystem of tools that help developers build scalable, containerized applications while maintaining visibility into system behavior. It often emphasizes integration with Kubernetes clusters, cloud-native APIs, and modern DevOps practices, allowing teams to manage complex workloads more efficiently. Although not a beginner-oriented repository, it provides valuable components and reference implementations for advanced users building production systems. -
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Küken is an OpenGL engine design for OpenGL 3 and OpenGL 4 hardware.
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Design of a billboard panel based on Microchip’s microcontroller PIC16F877A, with the following features: 1) Animation: Scrolling messages in vertical and horizontal direction 2) Storage: In EEPROM up to 10 texts of up to 78 caracters. 3) Recording of messages: Via PC serial port. 4) Characters: Size 8x12. 5) RTC: Programmable calendar.
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LIBSVM.jl
LIBSVM bindings for Julia
LIBSVM bindings for Julia. This is a Julia interface for LIBSVM and for the linear SVM model provided by LIBLINEAR. Supports all LIBSVM models: classification C-SVC, nu-SVC, regression: epsilon-SVR, nu-SVR and distribution estimation: one-class SVM. Model objects are represented by Julia-type SVM which gives you easy access to model features and can be saved e.g. as JLD file. -
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LLVM.jl
Julia wrapper for the LLVM C API
A Julia wrapper for the LLVM C API. The LLVM.jl package is a Julia wrapper for the LLVM C API, and can be used to work with the LLVM compiler framework from Julia. You can use the package to work with LLVM code generated by Julia, to interoperate with the Julia compiler, or to create your own compiler. It is heavily used by the different GPU compilers for the Julia programming language.
