Need advice about which tool to choose?Ask the StackShare community!

Streamlit

98
245
+ 1
8
Xcessiv

0
7
+ 1
0
Add tool

Xcessiv vs Streamlit: What are the differences?

Developers describe Xcessiv as "Fully managed web application for automated machine learning". A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. On the other hand, Streamlit is detailed as "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.

Xcessiv and Streamlit can be categorized as "Machine Learning" tools.

Some of the features offered by Xcessiv are:

  • Fully define your data source, cross-validation process, relevant metrics, and base learners with Python code
  • Any model following the Scikit-learn API can be used as a base learner
  • Task queue based architecture lets you take full advantage of multiple cores and embarrassingly parallel hyperparameter searches

On the other hand, Streamlit provides the following key features:

  • Free and open source
  • Build apps in a dozen lines of Python with a simple API
  • No callbacks

Xcessiv and Streamlit are both open source tools. It seems that Streamlit with 2.73K GitHub stars and 184 forks on GitHub has more adoption than Xcessiv with 1.2K GitHub stars and 101 GitHub forks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Streamlit
Pros of Xcessiv
  • 8
    Fast development
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    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.

    What is Xcessiv?

    A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Streamlit?
    What companies use Xcessiv?
      No companies found
      See which teams inside your own company are using Streamlit or Xcessiv.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Streamlit?
      What tools integrate with Xcessiv?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Streamlit and Xcessiv?
      Dash
      Dash is an API Documentation Browser and Code Snippet Manager. Dash stores snippets of code and instantly searches offline documentation sets for 150+ APIs. You can even generate your own docsets or request docsets to be included.
      Jupyter
      The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
      Flask
      Flask is intended for getting started very quickly and was developed with best intentions in mind.
      Shiny
      It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
      Bokeh
      Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
      See all alternatives