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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MLReef

    Score9.1 out of 10
    Enterprise companies (1,001+ employees)
    MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex data tasks with seamless involvable domain experts - Higher acceptance of deploye models ad development is a joint task Q: What is Distributed ML…N/A

    Streamlit

    Score8 out of 10
    N/AStreamlit 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
    MLReefStreamlit
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    MLReefStreamlit
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    MLReefStreamlit
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    TensorFlow
    Score7.6 out of 10
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    Google Cloud AI
    Score8.7 out of 10
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    Google Cloud AI
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MLReefStreamlit
    Likelihood to Recommend
    9.1
    (1 ratings)
    10.0
    (1 ratings)
    User Testimonials
    MLReefStreamlit
    Likelihood to Recommend
    MLReef
    Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
    Read full review
    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
    Read full review
    Pros
    MLReef
    • Helps us to take on more client projects
    • Can be used by data analysts as well as casual users
    Read full review
    Streamlit
    • Incredibly Easy
    • Customizable
    • Quick and powerful
    Incentivized
    Read full review
    Cons
    MLReef
    • Out of the box support for major cloud vendors
    Read full review
    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
    Read full review
    Alternatives Considered
    MLReef
    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
    Read full review
    Return on Investment
    MLReef
    • We can handle 4 to 6 times more projects at the same time with our team
    • We stay engaged with our customers well beyond the project duration
    Read full review
    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
    Read full review
    ScreenShots

    MLReef Screenshots

    Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elementsScreenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)Screenshot of Full version control and transparent experiment trackingScreenshot of Repositories to manage your scripts (SCM) and data (pipelines)Screenshot of Manage your team, groups and projects with access rights and granular permissions