MLJAR Studio vs. Streamlit Comparison


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About It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.	About Streamlit. The fastest way to build and share data apps. Turn data scripts into sharable web apps in minutes. All in Python. All for free. No front-end experience required. Streamlit combines three simple ideas. Embrace Python scripting. Build an app in a few lines of code with our magically simple API. Then see it automatically update as you save the source file. Weave in interaction. Adding a widget is the same as declaring a variable. No need to write a backend, define routes, handle HTTP requests, etc. Deploy instantly. Use Streamlit’s sharing platform to effortlessly share, manage, and collaborate on your apps. A minimal framework for powerful apps. Face-GAN explorer. App that uses Shaobo Guan’s TL-GAN project from Insight Data Science, TensorFlow, and NVIDIA's PG-GAN to generate faces that match selected attributes. Real time object detection. An image browser for the Udacity self-driving-car dataset with real-time object detection.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Data Scientists wanting a desktop app to create Python notebooks	Audience Engineers looking for an open-source app framework to create performant apps in only a few hours
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $20 per month Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros The best app maker for Python programmers, period! The library is amazingly intuitive and simple to use. Cons Not a single thing to dislike in this service. Could make themes available as CSS options rather than in-code options.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information MLJAR Founded: 2016 Poland mljar.com	Company Information Streamlit United States www.streamlit.io
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Categories Data Science Supported Machine Learning Supported	Categories Application Development Supported Data Science Supported Development Frameworks Supported

Integrations Python Supported Adobe Acrobat Supported Apache Parquet Supported Azure Marketplace Not Supported DemoGPT Not Supported Google Sheets Supported HTML Supported Jamba Not Supported JarvisLabs.ai Not Supported Jupyter Notebook Supported Markdown Supported NewsData.io Not Supported OpenAI Supported Pickle Supported Positron Not Supported PostgreSQL Supported Streamoku Not Supported TrueFoundry Not Supported XML Supported Show More Integrations View All 18 Integrations	Integrations Python Supported Adobe Acrobat Not Supported Apache Parquet Not Supported Azure Marketplace Supported DemoGPT Supported Google Sheets Not Supported HTML Not Supported Jamba Supported JarvisLabs.ai Supported Jupyter Notebook Not Supported Markdown Not Supported NewsData.io Supported OpenAI Not Supported Pickle Not Supported Positron Supported PostgreSQL Not Supported Streamoku Supported TrueFoundry Supported XML Not Supported Show More Integrations View All 14 Integrations
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