OpenText's Web Experience Management is part of the Customer Experience suite and is based on the Vignette product that OpenText acquired in 2009.
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Streamlit
Score 8.0 out of 10
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Streamlit is an open-source Python library designed to make it easy to build custom web-apps for machine learning and data science, from the company of the same name in San Francisco. Streamlit also hosts its community's Streamlit Component offered via API to help users get started.
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Pricing
OpenText WEM
Streamlit
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
OpenText WEM
Streamlit
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
OpenText WEM
Streamlit
Features
OpenText WEM
Streamlit
Security
Comparison of Security features of Product A and Product B
OpenText WEM
8.5
2 Ratings
4% above category average
Streamlit
-
Ratings
Role-based user permissions
8.52 Ratings
00 Ratings
Platform & Infrastructure
Comparison of Platform & Infrastructure features of Product A and Product B
OpenText WEM
8.2
2 Ratings
6% above category average
Streamlit
-
Ratings
API
8.52 Ratings
00 Ratings
Internationalization / multi-language
8.01 Ratings
00 Ratings
Web Content Creation
Comparison of Web Content Creation features of Product A and Product B
OpenText WEM
7.9
2 Ratings
1% above category average
Streamlit
-
Ratings
WYSIWYG editor
7.42 Ratings
00 Ratings
Code quality / cleanliness
8.02 Ratings
00 Ratings
Admin section
8.02 Ratings
00 Ratings
Page templates
7.52 Ratings
00 Ratings
Library of website themes
8.52 Ratings
00 Ratings
Mobile optimization / responsive design
7.52 Ratings
00 Ratings
Publishing workflow
8.02 Ratings
00 Ratings
Form generator
8.52 Ratings
00 Ratings
Web Content Management
Comparison of Web Content Management features of Product A and Product B
Areas where OpenText WEM is well suited 1. Improved digital/web presence of the organization's leaders globally. 2. Established the leaders as go-to experts for thought leadership and domain knowledge among C-level executives of related industries. 3. Amplified the client’s marketing and branding efforts. 4. Customer engagement reflected by interaction count on social media—likes,comments and conversations.
- Don't want to pay Tableau $1,000 / seat? Use Streamlit - Want fully custom views and navigation? Use Streamlit - Want access to Machine Learning and not just your dev team? Use Streamlit - Want to keep things internal and secure? Use Streamlit - Want your Data Science team to be able to crank out projects quickly? Use Streamlit - Sick of Jupyter Notebooks and Business Leaders not understanding them? Use Streamlit Our D.S. strategy has moved completely to delivering pages in Streamlit. I can hand an executive a Jupyter notebook and it'll get lost in translation. I can give them sign-in access to a page and they can answer all of their own "What-If?" questions! We've used Streamlit to productize our Data Science and Machine Learning capabilities.
Recent Security issues (they quickly released an update to combat this though...)
Requires a bit of HTML knowledge to really customize. If you're going quick, you don't need HTML though. Streamlit commands will pump your page out fast.
We have choosen OpenText WEM against other vendors because : 1. Helped client reinforce brand image through unique design language and templatization of collaterals, consistent messaging, and regular competitor benchmarking. 2. Enables lead generation through high-quality gated collateral, product videos, etc. 3. Senior management and sales lead meet client regularly for project review meetings and feedback on engagement
I started using Streamlit when it first came out and thought it was really useful and powerful. A few years later and they've really hit their stride! The features / widgets / materials they provide have been well researched, well designed, and well implemented. I will take Streamlit to any future companies I go to as well as be a strong promoter wherever I'm currently at. It's free. It's easy to use. It is really powerful. Sure? You could go pay for a larger system but your Data Science team should be able to handle Streamlit easily. I'd argue a non-technical person spending a few weeks in python could pick up Streamlit really quickly.
