Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Alluxio, data orchestration for analytics and machine learning in the cloud
| Date | Stars |
|---|---|
| 2026-07-24 | 7212 |
| 2026-07-25 | 7211 |
| 2026-07-28 | 7211 |
| 2026-07-30 | 7211 |
| 2026-07-31 | 7216 |
| 2026-08-06 | 7224 |
Today
+8 stars today
This week
+13 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.18%/day
[](https://www.alluxio.io) [](https://www.alluxio.io/slack) [](https://www.alluxio.io/download) [](https://hub.docker.com/r/alluxio/alluxio) [](https://www.alluxio.io/docs) [](https://api.securityscorecards.dev/projects/github.com/Alluxio/alluxio) [](https://twitter.com/intent/follow?screen_name=alluxio) [](https://github.com/Alluxio/alluxio/blob/master/LICENSE) ## What is Alluxio Open Source Alluxio Open Source (formerly known as Tachyon) is a Distributed Caching Platform for large-scale data. It bridges the gap between computation frameworks and storage systems, enabling computation applications to connect to numerous storage systems through a common interface. This GitHub repository is the open-source edition of Alluxio, which is purpose-built for analytics workloads. It provides caching and acceleration for structured data analytics and is widely adopted with data-intensive computation engines such as Presto, Spark, and Trino. The Alluxio project originated from a research project called Tachyon at AMPLab, UC Berkeley, which was the data layer of the Berkeley Data Analytics Stack ([BDAS](https://amplab.cs.berkeley.edu/bdas/)). For more details, please refer to Haoyuan Li's PhD dissertation [Alluxio: A Virtual Distributed File System](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-29.html). ## Alluxio Open Source versus Enterprise Editions The open-source edition of Alluxio is purpose-built for analytics workloads. It accelerates structured data analytics and scales to manage up to 100 million files. This Alluxio Open Source Edition is available for free without support and is recommended for testing, development, and small-scale production environments. For AI and machine learning workloads, including model training, distribution and inference at scale, Alluxio Enterprise Edition provides a fundamentally different architecture with a decentralized metadata service. As a result, it scales horizontally to support tens of billions of files and delivers higher performance along with FUSE-based POSIX integration for compatibility with popular AI frameworks, including PyTorch, TensorFlow, and Ray. To learn more about Alluxio Enterprise Edition, visit: [https://www.alluxio.io/enterprise-ai](https://www.alluxio.io/enterprise-ai). For more details about the differences between editions, visit [https://www.alluxio.io/editions](https://www.alluxio.io/editions). ## Who Owns and Manages Alluxio Open Source Project Alluxio Open Source Foundation is the owner of Alluxio project. Project operation is done by Alluxio Project Management Committee (PMC). You can check out more details on its structure and how to join Alluxio PMC [here](https://github.com/Alluxio/alluxio/wiki/Alluxio-Project-Management-Committee-(PMC)). ## Community and Events Please use the following to reach members of the community: - [Alluxio Community Slack Channel](https://www.alluxio.io/slack): post your questions here if you seek help for general questions or issues using Alluxio. - [Community Events](https://www.alluxio.io/events): upcoming online tech talks, meetups and webinars. - [Alluxio Twitter](https://twitter.com/alluxio); [Alluxio Youtube Channel](https://www.youtube.com/channel/UCpibQsajhwqYPLYhke4RigA); [Alluxio Linkedin](https://www.linkedin.com/company/alluxio-inc-/). ## Download Alluxio ### Binary download Prebuilt binaries ar
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:380b06a85f43a284, topic:tensorflow
