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3 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)

License: APACHE-2.0
Tag: Distributed computing
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1.ray-project / ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray
distributed
parallel
machine-learning
reinforcement-learning
deep-learning
+14 more

Python APACHE-2.044K total8.2K forks

+2,018 stars

from 42,177 · score 7.61

2.apache / spark

Apache Spark - A unified analytics engine for large-scale data processing

python
scala
r
java
big-data
jdbc
+2 more

Scala APACHE-2.044K total30K forks

+1,398 stars

from 43,008 · score 7.24

3.apache / shardingsphere

Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

database
distributed-database
distributed-sql-database
sql
shard
database-cluster
+10 more

Java APACHE-2.021K total6.9K forks

+202 stars

from 20,615 · score 5.31

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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.

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