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About

Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance.

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.

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

Data science teams, AI engineers, machine learning teams, Python developers, enterprise IT leaders, platform teams, research teams, and organizations that need trusted open-source packages, secure Python environments, dependency management, AI governance, orchestration, and production AI deployment support

Audience

DevOps teams searching for a visualization library solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 4.8 / 5
ease 4.9 / 5
features 4.6 / 5
design 4.6 / 5
support 4.6 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Anaconda
Founded: 2012
United States
www.anaconda.com/enterprise/

Company Information

Bokeh
bokeh.org

Alternatives

Alternatives

Plotly Dash

Plotly Dash

Plotly
Focos

Focos

Bending Spoons Apps

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

Python
Amazon Web Services (AWS)
Azure Marketplace
Dask
Domino Enterprise AI Platform
Google Cloud Platform
Google Maps
IBM watsonx.data
JavaScript
Jovian
Jupyter Notebook
Kilo Code
Kilo Code Reviewer
KiloClaw
Kixie PowerCall & SMS
NVIDIA RAPIDS
OpenSCAP
Thunder Compute
Visual Studio Code
statsmodels

Integrations

Python
Amazon Web Services (AWS)
Azure Marketplace
Dask
Domino Enterprise AI Platform
Google Cloud Platform
Google Maps
IBM watsonx.data
JavaScript
Jovian
Jupyter Notebook
Kilo Code
Kilo Code Reviewer
KiloClaw
Kixie PowerCall & SMS
NVIDIA RAPIDS
OpenSCAP
Thunder Compute
Visual Studio Code
statsmodels
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