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Topics: datascience

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4 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: datascience
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1.Avaiga / taipy

Turns Data and AI algorithms into production-ready web applications in no time.

automation
data-engineering
data-ops
data-visualization
datascience
developer-tools
+14 more

Python APACHE-2.019K total2K forks

+169 stars

from 19,284 · score 5.14

2.Netflix / metaflow

Build, Manage and Deploy AI/ML Systems

machine-learning
model-management
ai
ml
ml-platform
ml-infrastructure
+14 more

Python APACHE-2.010K total1.4K forks

+153 stars

from 10,181 · score 5.04

3.lk-geimfari / mimesis

Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

mimesis
fake
data
generator
fixtures
dummy
+14 more

Python MIT4.9K total371 forks

+44 stars

from 4,822 · score 3.81

4.modin-project / modin

Modin: Scale your Pandas workflows by changing a single line of code

dataframe
pandas
distributed
datascience
modin
sql
+3 more

Python APACHE-2.010K total681 forks

+26 stars

from 10,364 · score 3.30

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)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

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.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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