This release is a pre-release and may not be stable for production use.
Uptimely Core
Uptimely Core is an open source Python package for declarative numerical analytics with complex dependencies at scale.
It describes analytics workflows in a specification similar to OpenAPI, uses a declarative model inspired by Kubernetes. The framework generates plans, graphs, and documentation from that specification.
Ships with simple engine and plans to integrate to common execution backends.
The package has been developed especially for industrial organizations working with cases such as machine telemetry, process analytics, failure prediction and factory optimization.
Currently the examples are built around batch processing. Streaming abstractions are not available yet.
Demo
Read more at uptimely.ai website.
Quick start
Install the package, download examples and run.
pip install uptimely-core
uptimely examples download
python examples/run_all.py
Explore the examples files, generated resources and modify for the needs of your own project.
Documentation
Explore the documentation site.
Repository guide
| Path | Purpose |
|---|---|
docs/ |
Architecture, specification, and development documentation. |
examples/ |
Runnable examples and generated artifacts. |
scripts/ |
Code snippets for repository management |
src/uptimely/ |
Package implementation for specifications, compilation, dependencies, documentation, and engine. |
tests/ |
Automated tests for the package and examples. |
Development
See CONTRIBUTING.md for the full workflow.
License
Released under the MIT license. Contributions are welcome — see CONTRIBUTING.md.
Feedback
We are happy to hear development ideas, bug reports and other form of feedback.
Find the contact details from Uptimely website.
1 maintainer
Metadata
1 maintainer
Release files for uptimely-core 0.1.0.dev0
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Total release size: 133.4 kB
Release files / uptimely_core-0.1.0.dev0.tar.gz
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