github-repo-stats VS popmon

Compare github-repo-stats vs popmon and see what are their differences.

github-repo-stats

GitHub Action for advanced repository traffic analysis and reporting (by jgehrcke)
Monitoring Statistics Visualization
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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github-repo-stats popmon
3 1
284 487
- 0.8%
7.7 6.9
8 months ago 3 months ago
Python Python
Apache License 2.0 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.

github-repo-stats

Posts with mentions or reviews of github-repo-stats. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.

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 github-repo-stats and popmon you can also consider the following projects:

linkedin-visualizer - The missing feature in LinkedIn

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

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

lifetimes - Lifetime value in Python

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.

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

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.

github-repo-stats vs linkedin-visualizer popmon vs sweetviz popmon vs cape-dataframes popmon vs ydata-profiling popmon vs koalas popmon vs lifetimes popmon vs datacompy popmon vs Optimus popmon vs flytekit popmon vs permon popmon vs qnorm popmon vs model-validation-toolkit