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About

Bokeh is an intelligent portfolio platform for professional photographers that grows with your work. Instantly turn your photo library into a stunning website. Upload full-resolution images, set up galleries, and create a professional portfolio that grows with you. You don't need to build pages or edit templates. Craft a cutting-edge portfolio from your photos. Bokeh does the heavy lifting for you. Curate your online photo library with smart albums, metadata, and more to power your portfolio. Upload photos manually, or publish client work and update your portfolio directly from Adobe Lightroom. Upload videos (up to glorious 4K) and show them seamlessly alongside stills on your portfolio and client galleries. Bokeh non-destructively optimizes your photos to be fast and pixel perfect on every device. Bokeh uses AI to get you ranking highly on Google and social networks without any extra effort.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

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

Audience

Professional photographers requiring an intelligent portfolio platform to showcase their work

Audience

Developers interested in a beautiful but advanced programming language

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

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Bokeh
heybokeh.com

Company Information

Python
Founded: 1991
www.python.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Focos

Focos

Bending Spoons Apps

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

AtomicJar
BLACKBOX AI
Comet LLM
Devika
ExcelMaster.ai
Gemini 2.5 Pro Preview (I/O Edition)
Ghostscript
Google OSS-Fuzz
Jedi
Modelscape
ScraperAPI
Socket
Steamship
Total Processing
Towhee
Unlimit
YAML
gProfiler
neptune.ai
statsmodels

Integrations

AtomicJar
BLACKBOX AI
Comet LLM
Devika
ExcelMaster.ai
Gemini 2.5 Pro Preview (I/O Edition)
Ghostscript
Google OSS-Fuzz
Jedi
Modelscape
ScraperAPI
Socket
Steamship
Total Processing
Towhee
Unlimit
YAML
gProfiler
neptune.ai
statsmodels

Integrations

AtomicJar
BLACKBOX AI
Comet LLM
Devika
ExcelMaster.ai
Gemini 2.5 Pro Preview (I/O Edition)
Ghostscript
Google OSS-Fuzz
Jedi
Modelscape
ScraperAPI
Socket
Steamship
Total Processing
Towhee
Unlimit
YAML
gProfiler
neptune.ai
statsmodels
Claim Bokeh and update features and information
Claim Bokeh and update features and information
Claim Python and update features and information
Claim Python and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information