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API StatusChangelog
Streamlit
ByStreamlitStreamlit

Streamlit

#11in Development & Training Tools
Discussions1
Followers407
OverviewDiscussions1

What is Streamlit?

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

Streamlit is a tool in the Development & Training Tools category of a tech stack.

Key Features

Free and open sourceBuild apps in a dozen lines of Python with a simple APINo callbacksNo hidden stateWorks with TensorFlow, Keras, PyTorch, Pandas, Numpy, Matplotlib, Seaborn, Altair, Plotly, Bokeh, Vega-Lite, and more

Streamlit Pros & Cons

Pros of Streamlit

  • ✓Fast development
  • ✓Fast development and apprenticeship

Cons of Streamlit

No cons listed yet.

Streamlit Alternatives & Comparisons

What are some alternatives to Streamlit?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

CUDA

CUDA

A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.

Torch

Torch

It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Streamlit Integrations

Bokeh, Jina, Python, Plotly.js, PyTorch and 7 more are some of the popular tools that integrate with Streamlit. Here's a list of all 12 tools that integrate with Streamlit.

Bokeh
Bokeh
Jina
Jina
Python
Python
Plotly.js
Plotly.js
PyTorch
PyTorch
Pandas
Pandas
Bokeh
Bokeh
Keras
Keras
NumPy
NumPy
Matplotlib
Matplotlib
TensorFlow
TensorFlow
Altair GraphQL
Altair GraphQL

Streamlit Discussions

Discover why developers choose Streamlit. Read real-world technical decisions and stack choices from the StackShare community.

dince-afk
dince-afk

May 28, 2023

Needs adviceonStreamlitStreamlitPythonPython

I want to build simple and beautiful web apps quickly. Mostly data visualizations, but also some simple user interaction sites. I like Streamlit's design. Is there anything else I need to consider? Any other popular alternative in Python?

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