visualiza VS vpselector

Compare visualiza vs vpselector and see what are their differences.

visualiza

A general-purpose dynamic data visualizer. (by aarav2you)

vpselector

Visual Pandas Selector: Visualize and interactively select time-series data (by manumerous)
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visualiza vpselector
1 1
1 72
- -
1.9 7.7
10 months ago 5 months ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

visualiza

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

vpselector

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

What are some alternatives?

When comparing visualiza and vpselector you can also consider the following projects:

datacompy - Pandas and Spark DataFrame comparison for humans and more!

dtale-desktop - Build a data visualization dashboard with simple snippets of python code

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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

Solomon - Data Exploration tool.

seaborn - Statistical data visualization in Python

mito - The mitosheet package, trymito.io, and other public Mito code.

sweetviz - Visualize and compare datasets, target values and associations, with one line of code.

Media-Analysis - Data Science Exercises based on real-world scenarios with explanatory comments and prettified output.