aqueduct
llama2.go
| aqueduct | llama2.go | |
|---|---|---|
| 2 | 1 | |
| 521 | 182 | |
| 0.0% | - | |
| 8.7 | 8.0 | |
| 11 months ago | about 2 months ago | |
| Go | Go | |
| Apache License 2.0 | MIT License |
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aqueduct
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Aqueduct: Take Data Science to Production
Hi everyone!
We've been working on making data teams more productive with Aqueduct for over a year, and we're really excited to share what we've been building.
There's a large (and growing!) number of programmers in the world who understand data and can solve business problems but don't want to spend their time wrangling low-level cloud infrastructure to get their work into the cloud. The existing MLOps tools that claim to solve this problem have been built by & for software teams, and they're incredibly complicated.
With Aqueduct, we've built a tool that's designed for data teams and abstracts away the underlying infrastructure. Aqueduct has a simple Python API that allows you to define a workflow as a composition of Python functions. Those workflows can be easily connected to data sources and can be run anywhere from your laptop to a Kubernetes cluster in the cloud. Once a workflow's running, Aqueduct has lightweight hooks to compute metrics and run tests over your pipelines to ensure they're producing high-quality results.
To learn more about what we're building, check out our GitHub repo or join our community Slack:
https://github.com/aqueducthq/aqueduct
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