Appen vs. Streamlit

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Appen
Score 7.3 out of 10
N/A
The Appen platform combines human intelligence from over one million people all over the world with models to create training data for ML projects. Appen users can upload data to the Appen platform, and they provide the annotations, judgments, and labels needed to help create ground truth for models.N/A
Streamlit
Score 9.0 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
AppenStreamlit
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AppenStreamlit
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
AppenStreamlit
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.1 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AppenStreamlit
Likelihood to Recommend
10.0
(1 ratings)
10.0
(1 ratings)
User Testimonials
AppenStreamlit
Likelihood to Recommend
Appen
It is well suited for the users and potential employee who are free of any job perspective and need their free time to be utilized. Users can use their free time to be used for submission of interesting tasks.
Whereas the number of tasks are very less and processing time is also very extensive and recruitment takes time more.
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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.
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Pros
Appen
  • Project listing
  • Hiring of the potential and qualified users
  • Tracking of the projects
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Streamlit
  • Incredibly Easy
  • Customizable
  • Quick and powerful
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Cons
Appen
  • Selection procedure is bit .
  • The questionnaire need to be reviewed.
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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.
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Alternatives Considered
Appen
Appen offers projects mostly related to my native language and also according to my expertise . It offers very interesting projects to be completed , which requires not very expertise and less time to be completed for each task. It is also very convenient to use after selection for the task and also well rewarding against the time consumed for the task completion.
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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.
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Return on Investment
Appen
  • It has Positive impact as it provides opportunity for new jobs in my area of expertise.
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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.
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ScreenShots