RunLLM / aqueduct

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Date Created 2022-05-27 (2 years ago)

Commits 1,037 (last one about a year ago)

Stargazers 521 (0 this week)

Watchers 9 (0 this week)

Forks 18

License apache-2.0

Ranking

RepositoryStats indexes 589,134 repositories, of these RunLLM/aqueduct is ranked #88,192 (85th percentile) for total stargazers, and #224,707 for total watchers. Github reports the primary language for this repository as Go, for repositories using this language it is ranked #5,170/25,833.

RunLLM/aqueduct is also tagged with popular topics, for these it's ranked: python (#4,602/22145), machine-learning (#1,976/7978), python3 (#626/4119), ai (#882/3952), kubernetes (#1,046/3920), llm (#660/2801), data-science (#575/2110), data (#213/983), ml (#148/607), llms (#132/517), mlops (#110/415), orchestration (#64/188)

Other Information

RunLLM/aqueduct has 1 open pull request on Github, 1,314 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 10 closed issues.

There have been 47 releases, the latest one was published on 2023-06-07 (about a year ago) with the name v0.3.6.

Homepage URL: https://aqueducthq.com

All Topics

ai ml llm data llms mlops python python3 kubernetes data-science ml-monitoring orchestration machine-learning ml-infrastructure

Star History

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Github watchers over time, collection started in '23

Recent Commit History

1,037 commits on the default branch (main) since jan '22

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Issue History

Languages

The primary language is Go but there's also others...

updated: 2024-10-29 @ 11:09pm, id: 496844646 / R_kgDOHZ0_Zg