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1.0.0

PyPI

aika-datagraph

Methods for storing a network of datasets and their dependencies.

Published12 Nov 2023

Direct dependencies11

Transitive dependenciesNot calculated

README

Version 1.0.0 documentation

Introduction

The aika project is a collection of libraries for working with time series data, and in particular with timeseries data that is expected to be continuously updated. The datagraph sub project is a way to store time series data along with any parameters used to generate that data including other data. It comes with several different persistence engines which can be used to browse stored data and filter by parameters. Since it embeds the dependency graph it enforces consistency. Importantly, meta data such as the time range of the data is stored in the meta data allowing consumers to check the existence of data without examining it. Within the aika project this is used as the backing layer to the task library (putki) which allows the tasks to efficiently know which tasks need to be run at any given point in time.

You can read more about the aika project on the project webpage.

Installation

python -m pip install aika-datagraph

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Declared dependencies 14

Native requirements

11 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
pandas Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`pandas (>=1.1.5)`	runtime
numpy Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`numpy`	runtime
aika-utilities Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`aika-utilities`	runtime
aika-time Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`aika-time`	runtime
pymongo Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`pymongo`	runtime
typing-extensions Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`typing-extensions`	runtime
retry Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`retry`	runtime
portalocker Environment { "extras": "", "marker": null, "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`portalocker`	runtime
mongomock Environment { "extras": "", "marker": "extra == 'all'", "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`mongomock ; extra == 'all'`	runtime
pytest Environment { "extras": "", "marker": "extra == 'all'", "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`pytest ; extra == 'all'`	runtime
pytest-cov Environment { "extras": "", "marker": "extra == 'all'", "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`pytest-cov ; extra == 'all'`	runtime
mongomock Environment { "extras": "", "marker": "extra == 'test'", "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`mongomock ; extra == 'test'`	runtime
pytest Environment { "extras": "", "marker": "extra == 'test'", "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`pytest ; extra == 'test'`	runtime
pytest-cov Environment { "extras": "", "marker": "extra == 'test'", "requires_python": ">=3.6", "evaluation": "NOT_EVALUATED" }	`pytest-cov ; extra == 'test'`	runtime