lifetimes VS popmon

Compare lifetimes vs popmon and see what are their differences.

lifetimes

Lifetime value in Python (by CamDavidsonPilon)
Python Statistics Data Science
Source Code
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popmon

Monitor the stability of a Pandas or Spark dataframe ⚙︎ (by ing-bank)
population-monitoring Monitoring Data Science Python data-distributions Statistics data-profiling statistical-tests statistical-process-control Pandas Spark Data Analysis Jupyter Ipython ing-bank Mlops HacktoberFest dataset-shifts covariate-shift drift-detection
Source Code
popmon.readthedocs.io
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lifetimes popmon
1 1
1,433 486
- 0.6%
0.0 6.9
over 1 year ago 3 months ago
Python Python
MIT 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.

lifetimes

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

popmon

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

What are some alternatives?

When comparing lifetimes and popmon you can also consider the following projects:

scikit-learn - scikit-learn: machine learning in Python

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

statsmodels - Statsmodels: statistical modeling and econometrics in Python

cape-dataframes - Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.

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

koalas - Koalas: pandas API on Apache Spark

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

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

flytekit - Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

permon - A tool to monitor everything you want. Clean, simple, extensible and in one place.

model-validation-toolkit - Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

qnorm - Fast-ish (and correct!) quantile normalization in Python.

lifetimes vs scikit-learn popmon vs sweetviz lifetimes vs statsmodels popmon vs cape-dataframes popmon vs ydata-profiling popmon vs koalas popmon vs datacompy popmon vs Optimus popmon vs flytekit popmon vs permon popmon vs model-validation-toolkit popmon vs qnorm