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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. Polyaxon vs Streamlit

Polyaxon vs Streamlit

OverviewComparisonAlternatives

Overview

Polyaxon
Polyaxon
Stacks11
Followers65
Votes14
GitHub Stars3.7K
Forks325
Streamlit
Streamlit
Stacks403
Followers407
Votes12
GitHub Stars42.1K
Forks3.9K

Polyaxon vs Streamlit: What are the differences?

What is Polyaxon? An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications. An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

What is Streamlit? A Python app framework built specifically for Machine Learning and Data Science teams. 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.

Polyaxon and Streamlit can be primarily classified as "Machine Learning" tools.

Streamlit is an open source tool with 2.73K GitHub stars and 184 GitHub forks. Here's a link to Streamlit's open source repository on GitHub.

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Detailed Comparison

Polyaxon
Polyaxon
Streamlit
Streamlit

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

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.

-
Free and open source; Build apps in a dozen lines of Python with a simple API; No callbacks; No hidden state; Works with TensorFlow, Keras, PyTorch, Pandas, Numpy, Matplotlib, Seaborn, Altair, Plotly, Bokeh, Vega-Lite, and more
Statistics
GitHub Stars
3.7K
GitHub Stars
42.1K
GitHub Forks
325
GitHub Forks
3.9K
Stacks
11
Stacks
403
Followers
65
Followers
407
Votes
14
Votes
12
Pros & Cons
Pros
  • 2
    Python Client
  • 2
    Notebook integration
  • 2
    Tensorboard integration
  • 2
    API
  • 2
    VSCode integration
Pros
  • 11
    Fast development
  • 1
    Fast development and apprenticeship
Integrations
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm
Python
Python
Jupyter
Jupyter
Caffe2
Caffe2
TensorFlow
TensorFlow
Keras
Keras
Gluon
Gluon
Python
Python
Plotly.js
Plotly.js
PyTorch
PyTorch
Pandas
Pandas
Bokeh
Bokeh
Keras
Keras
NumPy
NumPy
Matplotlib
Matplotlib
TensorFlow
TensorFlow
Altair GraphQL
Altair GraphQL

What are some alternatives to Polyaxon, 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.

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.

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.

Keras

Keras

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

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

PredictionIO

PredictionIO

PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

Gluon

Gluon

A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.

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