neovis.js VS astropy

Compare neovis.js vs astropy and see what are their differences.

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neovis.js astropy
1 26
1,505 4,210
2.5% 1.7%
5.5 9.9
6 months ago 4 days ago
TypeScript Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

neovis.js

Posts with mentions or reviews of neovis.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-04.

astropy

Posts with mentions or reviews of astropy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-27.

What are some alternatives?

When comparing neovis.js and astropy you can also consider the following projects:

neo4j-browser - Neo4j Browser is the general purpose user interface for working with Neo4j. Query, visualize, administrate and monitor the database.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Graphin - A React toolkit for graph visualization based on G6

SciPy - SciPy library main repository

neodash - NeoDash - a Dashboard Builder for Neo4j

Dask - Parallel computing with task scheduling

Numba - NumPy aware dynamic Python compiler using LLVM

SymPy - A computer algebra system written in pure Python

PyDy - Multibody dynamics tool kit.

pint - Laravel Pint is an opinionated PHP code style fixer for minimalists.

pint - Operate and manipulate physical quantities in Python

NumPy - The fundamental package for scientific computing with Python.