About
Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.
|
About
FrameMagic enables you to create awesome photo collages, video collages and video slideshows within just a few seconds with tons of layouts, endless options, colors, patterns, a powerful text editor, beautiful filter effects, flexible play options, music and narrations. FrameMagic also supports powerful and intelligent photo editors including object removal, soft skin, dark light, bokeh, sticker, silhouette, outline, hole, background blur, motion blur and color splash. Combine multiple photos with hundreds of rectangular and polygonal layouts. Blend multiple photos and create a stunning collage. Combine multiple photos into one long. storytelling collage. 3D meshed collage with beautiful mesh layouts.
|
About
Maximize your security testing journey, from setting up your bench to analyzing your data processing results, esDynamic saves you valuable time and effort, empowering you to unleash the full potential of your attack workflow. Discover the flexible and comprehensive Python-based platform, perfectly suited for every phase of your security analysis. Customize your research space to meet your unique requirements by effortlessly adding new equipment, integrating tools, and modifying data. Additionally, esDynamic features an extensive collection of materials on complex topics that would typically require extensive research or a team of specialists, granting you instant access to expertise. Say goodbye to scattered data and fragmented knowledge. Welcome a cohesive workspace where your team can effortlessly share data and insights, fostering collaboration and accelerating discoveries. Centralize and solidify your efforts in JupyterLab notebooks to share with your team.
|
About
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
|
|||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
DevOps teams searching for a visualization library solution
|
Audience
Users looking for a powerful Photo Editor application that helps create photo collages
|
Audience
Teams looking for a solution to analyze and test their data workflow and processing results
|
Audience
Engineers and data scientists requiring a solution to manage and improve their machine learning research
|
|||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationBokeh
bokeh.org
|
Company InformationFrameMagic
framemagic.blogspot.com
|
Company InformationeShard
France
eshard.com/esdynamic
|
Company Informationscikit-learn
United States
scikit-learn.org/stable/
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
|
|||||
|
|
|
|
|
|||
|
|
|
|
||||
|
|
|
|||||
Categories |
Categories |
Categories |
Categories |
|||
Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Google Maps
Guild AI
Intel Tiber AI Studio
JavaScript
JupyterLab
Keepsake
MLJAR Studio
|
Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Google Maps
Guild AI
Intel Tiber AI Studio
JavaScript
JupyterLab
Keepsake
MLJAR Studio
|
Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Google Maps
Guild AI
Intel Tiber AI Studio
JavaScript
JupyterLab
Keepsake
MLJAR Studio
|
Integrations
DagsHub
Databricks Data Intelligence Platform
Flower
Google Maps
Guild AI
Intel Tiber AI Studio
JavaScript
JupyterLab
Keepsake
MLJAR Studio
|
|||
|
|
|
|
|