rustworkx VS Factotum

Compare rustworkx vs Factotum and see what are their differences.

rustworkx

A high performance Python graph library implemented in Rust. (by Qiskit)
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rustworkx Factotum
4 -
846 218
4.3% 2.3%
9.2 0.0
4 days ago over 2 years ago
Rust Rust
Apache License 2.0 Apache License 2.0
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.

rustworkx

Posts with mentions or reviews of rustworkx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-08.

Factotum

Posts with mentions or reviews of Factotum. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Factotum yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing rustworkx and Factotum you can also consider the following projects:

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

Herd - An experimental HTTP load testing application written in Rust.

pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

imag - imag - Text based personal information management suite

Graphia - A visualisation tool for the creation and analysis of graphs

snatch - A simple, fast and interruptable download accelerator, written in Rust

hathor-core - HathorNetwork's fullnode core

flowgger - A fast data collector in Rust

Data Flow Facilitator for Machine Learning (dffml) - The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

mdBook - Create book from markdown files. Like Gitbook but implemented in Rust

hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

svgbobrus - Convert your ascii diagram scribbles into happy little SVG