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Topics: data-ops

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

Language: Python
Topic: data-ops
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1.PrefectHQ / prefect

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

python
workflow
data-engineering
data-science
workflow-engine
prefect
+8 more

Python APACHE-2.024K total2.6K forks

+637 stars

from 23,468 · score 6.46

2.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

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

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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 Tag holds the repositories that have it; see Tags.

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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