autonormalize VS qnorm

Compare autonormalize vs qnorm and see what are their differences.

qnorm

Fast-ish (and correct!) quantile normalization in Python. (by Maarten-vd-Sande)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
autonormalize qnorm
1 1
107 23
0.0% -
0.0 3.1
10 months ago 9 months ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

autonormalize

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

qnorm

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

What are some alternatives?

When comparing autonormalize and qnorm you can also consider the following projects:

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

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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

awkward - Manipulate JSON-like data with NumPy-like idioms.

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]