JLD2.jl VS julia_titanic_model

Compare JLD2.jl vs julia_titanic_model and see what are their differences.

JLD2.jl

HDF5-compatible file format in pure Julia (by JuliaIO)

julia_titanic_model

Titanic machine learning model and web service (by AndreyGermanov)
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JLD2.jl julia_titanic_model
2 1
523 3
1.3% -
8.1 0.0
7 days ago about 1 year ago
Julia Jupyter Notebook
GNU General Public License v3.0 or later 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.

JLD2.jl

Posts with mentions or reviews of JLD2.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.

julia_titanic_model

Posts with mentions or reviews of julia_titanic_model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.

What are some alternatives?

When comparing JLD2.jl and julia_titanic_model you can also consider the following projects:

julia - The Julia Programming Language

PlotDocs.jl - Documentation for Plots.jl

Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

Plots.jl - Powerful convenience for Julia visualizations and data analysis

ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Rocket.jl - Functional reactive programming extensions library for Julia

NumPy - The fundamental package for scientific computing with Python.

StatsWithJuliaBook

cheatsheets - Official Matplotlib cheat sheets

HTTP.jl - HTTP for Julia