visualiza VS datacompy

Compare visualiza vs datacompy and see what are their differences.

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visualiza datacompy
1 4
1 394
- 10.7%
1.9 7.5
10 months ago 6 days 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.

datacompy

Posts with mentions or reviews of datacompy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-26.

What are some alternatives?

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

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

koalas - Koalas: pandas API on Apache Spark

Solomon - Data Exploration tool.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

vpselector - Visual Pandas Selector: Visualize and interactively select time-series data

data-diff - Compare tables within or across databases

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

dbt-audit-helper - Useful macros when performing data audits

seaborn - Statistical data visualization in Python

popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎

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

diffable-sql