OctoML vs. Streamlit

OctoML

Streamlit

6 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
OctoML	N/A	N/A	OctoML offers an acceleration platform that helps engineering teams deploy machine learning models on any hardware, cloud provider, or edge device quickly. The platform, Octomizer, is built on top of the open-source Apache TVM compiler framework project. It supports a wide variety of machine learning frameworks like PyTorch, TensorFlow, and ONNX serialized models as well as hardware backends like NVIDIA/CUDA, x86, AMD, ARM, Intel, MIPS, and more. It changes how developers optimize…	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

OctoML

Streamlit

No answers on this topic

No answers on this topic

Pricing Offerings
OctoML	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
	OctoML	Streamlit
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All Alternatives	View all alternatives	View all alternatives

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

User Testimonials
	OctoML	Streamlit
Likelihood to Recommend	OctoML.AI 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	OctoML.AI No answers on this topic	Streamlit Incredibly Easy Customizable Quick and powerful Incentivized Tanner Ingalls Data Product Manager & Data Scientist Read full review
Cons	OctoML.AI 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	OctoML.AI 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	OctoML.AI 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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