Bitfount vs. Streamlit

Bitfount

Streamlit

6 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Bitfount	N/A	N/A	Bitfount is a distributed data science platform enabling data custodians and data scientists to collaborate on federated, privacy-preserving data analysis and AI/ML such that the world's intractable data can become safely interactable. Bitfount leverages a zero-trust messaging architecture to enable data scientists to send algorithms to data, where it lives, rather than requiring the transfer of raw data to perform analyses. As a result, the platform can be used to perform…	N/A
Streamlit	Score8 out of 10	N/A	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.	N/A

Pricing

Bitfount

Streamlit

No answers on this topic

No answers on this topic

Pricing Offerings
Bitfount	Streamlit
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

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Best Alternatives
	Bitfount	Streamlit
Small Businesses	RapidMiner Score8.9 out of 10	TensorFlow Score7.6 out of 10
Medium-sized Companies	Anaconda Score8.8 out of 10	Google Cloud AI Score8.7 out of 10
Enterprises	IBM Watson Studio Score10 out of 10	Google Cloud AI Score8.7 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Bitfount	Streamlit
Likelihood to Recommend	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	Bitfount	Streamlit
Likelihood to Recommend	Bitfount No answers on this topic	Streamlit - 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. Incentivized Tanner Ingalls Data Product Manager & Data Scientist Read full review
Pros	Bitfount No answers on this topic	Streamlit Incredibly Easy Customizable Quick and powerful Incentivized Tanner Ingalls Data Product Manager & Data Scientist Read full review
Cons	Bitfount No answers on this topic	Streamlit 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. Incentivized Tanner Ingalls Data Product Manager & Data Scientist Read full review
Alternatives Considered	Bitfount No answers on this topic	Streamlit 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. Incentivized Tanner Ingalls Data Product Manager & Data Scientist Read full review
Return on Investment	Bitfount No answers on this topic	Streamlit I've scaled my team 2x since using Streamlit. We show off actual results that users can play with We're building a customer facing page that we're going to monetize. Incredible amounts of visibility into my team and what we're accomplishing. Incentivized Tanner Ingalls Data Product Manager & Data Scientist Read full review
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