sap-extractor | project implements some connectors for the mainstream

by Javert899 Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | sap-extractor Summary

sap-extractor is a Python library. sap-extractor has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This project implements some connectors for the mainstream processes in SAP ERP ECC.

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Quality

Security

License

Reuse

Support

sap-extractor has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

sap-extractor has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sap-extractor is current.

Quality

sap-extractor has no bugs reported.

Security

sap-extractor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sap-extractor is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sap-extractor releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

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sap-extractor Key Features

No Key Features are available at this moment for sap-extractor.

sap-extractor Examples and Code Snippets

No Code Snippets are available at this moment for sap-extractor.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install sap-extractor

The project is available as a Python package in Pypi. It can be installed under a Python >=3.6 using:.

Support

We support different processes, and modalities of extraction:. For the Order-to-Cash process, we can extract a dataframe (that can be stored in CSV/Parquet files), a XES log, and object-centric logs (in the MDL and JMD formats). The two classic log modalities asks for a central document type (for each document of the type, a case is created with all the operations on the connected documents).

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