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Topics: dataquality

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3 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: dataquality
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1.fivetran / great_expectations

Always know what to expect from your data.

pipeline-tests
dataquality
datacleaning
datacleaner
data-science
data-profiling
+14 more

Python APACHE-2.012K total1.9K forks

+516 stars

from 11,396 · score 6.25

2.datafold / data-diffArchived

Compare tables within or across databases

database
mysql
postgresql
snowflake
rdbms
trino
+14 more

Python MIT3K total318 forks

+24 stars

from 2,966 · score 3.22

3.chaos-genius / chaos_geniusArchived

ML powered analytics engine for outlier detection and root cause analysis.

anomaly-detection
business-intelligence
analytics
machine-learning
observability
rootcauseanalysis
+14 more

Python MIT777 total87 forks

+2 stars

from 775 · score 1.10

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

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The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Category holds the repositories that its published rules match; see Categories.

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