data-science-portfolio VS mercury

Compare data-science-portfolio vs mercury and see what are their differences.

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data-science-portfolio mercury
3 76
7 3,761
- 1.5%
0.0 8.7
about 2 years ago 9 days ago
Jupyter Notebook Python
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

data-science-portfolio

Posts with mentions or reviews of data-science-portfolio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-09.

mercury

Posts with mentions or reviews of mercury. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-13.

What are some alternatives?

When comparing data-science-portfolio and mercury you can also consider the following projects:

awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

streamlit - Streamlit — A faster way to build and share data apps.

python-training - Python training for business analysts and traders

voila - Voilà turns Jupyter notebooks into standalone web applications

rapaio-jupyter-kernel - Java jupyter kernel

papermill - 📚 Parameterize, execute, and analyze notebooks

mercury-examples - Example Jupyter Notebooks showing how to use Mercury framework

voila-gridstack - Dashboard template for Voilà based on GridStackJS

jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be

ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️