Bokeh
Photo management software
Photography software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$19 per month
Free Trial unavailableFree version unavailable
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What is Bokeh
Bokeh is an open-source Python visualization library used to create interactive charts and dashboards for web browsers. It targets data analysts, engineers, and teams that need programmatic plotting and interactive data exploration in notebooks, web apps, or embedded web pages. The product focuses on Python APIs with browser-based rendering and supports standalone HTML outputs or server-backed interactivity.
Interactive browser-based visualizations
Bokeh produces interactive plots that run in standard web browsers using JavaScript-based rendering. It supports common interactions such as pan/zoom, hover tooltips, selections, and linked brushing across multiple plots. Outputs can be embedded in web pages or exported as standalone HTML, which helps with sharing results without requiring a desktop application.
Python-first, code-driven workflow
Bokeh provides a Python API designed for programmatic chart creation and repeatable analysis workflows. It integrates well with common Python data structures and workflows used in analytics environments. This approach suits teams that prefer version-controlled code over manual editing typical of photo and asset management tools.
Flexible deployment options
Bokeh supports both static/standalone documents and dynamic applications via Bokeh Server. Server mode enables callbacks, streaming updates, and more complex interactions than purely client-side charts. This flexibility helps teams choose between simple sharing and fully interactive, hosted dashboards.
Not photo management software
Despite the name, Bokeh is not a photography or photo management product. It does not provide image cataloging, tagging, RAW workflows, non-destructive editing, or studio/client delivery features common in photography tools. Organizations evaluating it for photo workflows will likely find it mismatched to those requirements.
Requires programming expertise
Bokeh is primarily used through Python code, which creates a learning curve for non-technical users. Building polished dashboards typically requires familiarity with Python, data structures, and sometimes web concepts. Teams expecting a GUI-first workflow may need additional tooling or developer support.
App complexity and maintenance
Interactive applications built with Bokeh Server introduce operational considerations such as hosting, scaling, authentication, and dependency management. Long-lived dashboards may require ongoing maintenance as Python environments and browser behaviors change. This can be more involved than using packaged desktop applications for end-user workflows.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Hosted | $19/month (early-access discounted; regular $29/month stated on site) | 1 TB of storage; encrypted photos; 30 days of backups; export to social media; limited-time early-customer discount; join waitlist required for access. |
| Professional | $39/month (early-access discounted; regular $59/month stated on site) | Flat monthly fee with no storage limit; use your own cloud provider (AWS, Google Cloud, DigitalOcean, Backblaze, Cloudflare); copy photos across multiple cloud providers; targeted at users who supply their own storage; limited-time early-customer discount; join waitlist required for access. |
Seller details
Anaconda, Inc.
Austin, Texas, USA
2012
Private
https://www.anaconda.com/
https://x.com/anacondainc
https://www.linkedin.com/company/anaconda-inc/
