panel VS algorithms

Compare panel vs algorithms and see what are their differences.

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panel algorithms
39 3
4,192 23,540
7.0% -
9.9 4.7
1 day ago 11 days ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
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.

panel

Posts with mentions or reviews of panel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-12.

algorithms

Posts with mentions or reviews of algorithms. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-28.

What are some alternatives?

When comparing panel and algorithms you can also consider the following projects:

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

searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

dash - Data Apps & Dashboards for Python. No JavaScript Required.

Box - Python dictionaries with advanced dot notation access

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

algorithms_illuminated - Python implementations and tests for the Algorithms Illuminated book series. Some test cases from the following repository: https://github.com/beaunus/stanford-algs

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

threeXYZgraphing - 3d xyz graphing using threejs

appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

more-itertools - More routines for operating on iterables, beyond itertools

jupyterlite - Wasm powered Jupyter running in the browser 💡

nimpy - Nim - Python bridge