Streamlit VS Matplotlib

Streamlit

Turn python scripts into beautiful ML tools

Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Landing page //
2023-10-07

Landing page //
2023-06-14

My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Streamlit and Matplotlib)

Matplotlib

Productivity

100 100%

Productivity

0% 0

Technical Computing

0 0%

Technical Computing

100% 100

Developer Tools

100 100%

Developer Tools

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User comments

Share your experience with using Streamlit and Matplotlib. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Streamlit and Matplotlib

Streamlit Reviews

We have no reviews of Streamlit yet.
Be the first one to post

Matplotlib Reviews

25 Python Frameworks to Master

Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.

Source: kinsta.com

5 Best Python Libraries For Data Visualization in 2023

You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.

Source: www.technotification.com

15 data science tools to consider using in 2021

Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.

Source: searchbusinessanalytics.techtarget.com

Top Python Libraries For Image Processing In 2021

Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.

Source: www.analyticsvidhya.com

Top 8 Python Libraries for Data Visualization

Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Streamlit should be more popular than Matplotlib. It has been mentiond 180 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Streamlit mentions (180)

OpenAI api RAG system with Qdrant
What I wound up building is a Streamlit app that uses qdrant to index and search data extracted from a collection of pdf document. The app is a simple chat interface where you can ask questions about the data and get responses from a mixture of GPT-4 and the indexed data. - Source: dev.to / about 2 months ago
Build your AI Travel Agent with GPT-4o using Python
You'll use some amazing tools to make this happen. Streamlit will help you create a friendly and interactive interface; Phidata will handle your data; OpenAI's GPT-4 will provide smart conversational abilities; and Google Search-Results will fetch the best travel options. Together, these tools will allow you to build smart, responsive AI to plan your trips as if you had a personal travel guardian. - Source: dev.to / 17 days ago
WizSearch: 🏆 Winning My First AI Hackathon 🚀
UI: Streamlit for creating an interactive and user-friendly interface. - Source: dev.to / 19 days ago
Learnings from GenAI on AWS at Deloitte workshop
Streamlit - quickly creates web UI from Python without much frontend skills, great for POCs (Streamlit API Reference). - Source: dev.to / 26 days ago
Build A Dual-Purpose App: Text-to-Image and Custom Chatbot Using Comet, GPT-3.5, DALL-E 2, and Streamlit
Streamlit is a platform that enables you to build web applications that can be hosted in the cloud in just minutes. It helps you build interactive dashboards, generate reports, or create chat applications. Once you’ve created an app, you can use the Community Cloud platform to deploy, manage, and share your application. - Source: dev.to / about 1 month ago

Matplotlib mentions (101)

Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 15 days ago
TOP 10 Best Charts for Applications
Python (with Matplotlib): A powerful library for creating detailed histograms. - Source: dev.to / 18 days ago
2 Minutes to JupyterLab Notebook on Docker Desktop
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Implementing semantic image search with Amazon Titan and Supabase Vector
Matplotlib: for displaying our image result. - Source: dev.to / 3 months ago
Releasing The Force Of Machine Learning: A Novice’s Guide 😃
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 4 months ago