gluonts
datajob
| gluonts | datajob | |
|---|---|---|
| 4 | 4 | |
| 4,308 | 108 | |
| 2.3% | - | |
| 8.7 | 0.0 | |
| 3 days ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gluonts
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Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams
https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.
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gluonts VS darts - a user suggested alternative
2 projects | 13 Apr 2023
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[Q] `py.typed` and `.typesafe`
I was looking at [`gluonts`](https://github.com/awslabs/gluonts/tree/dev/src/gluonts/core) source code and I found a `py.typed` file. That is something I always put in my type-annotated modules: it's literally an empty file which denotes that the module is marked for "internal or external use in type checking" [mypy docs](https://mypy.readthedocs.io/en/stable/installed_packages.html?highlight=py.typed#creating-pep-561-compatible-packages). However, I never saw before the `.typesafe` file. What does it denote? Does it have to be used alongside a `py.typed`?
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Cash-flow forecasting
-GluonTS
datajob
- Build and deploy a serverless data pipeline on AWS with no effort.
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Datajob: Build and deploy a serverless data pipeline on AWS with no effort.
Thanks! triggering a pipeline run based on a schedule is one of the ideas to implement next: https://github.com/vincentclaes/datajob#ideas
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Aws Glue Environmentsdlc
I created an open source library called `datajob` to deploy and orchestrate glue jobs. You can find it on github https://github.com/vincentclaes/datajob and on pypi
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tributary - Streaming reactive and dataflow graphs in Python
pytorch-forecasting - Time series forecasting with PyTorch
DataEngineeringProject - Example end to end data engineering project.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
getting-started - This repository is a getting started guide to Singer.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
stepfunctions2processing - Configuration with AWS step functions and lambdas which initiates processing from activity state
time-series-transformers-review - A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
stepview - All your AWS Stepfunctions at a glance in the terminal! 🧐