# Datenraffinerie
The Datenraffinerie is a tool to acquire data from the various frontend systems of HGCAL and provide a framework for online and offline analyses to plug in to. The Datenraffinerie automates the entire DAQ process for test systems from a user perspective. It handles configuration of the DAQ system and target and conversion of the data from the target system into a pandas DataFrame, simplifying the life of the analysis developer.
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2 maintainers
Release files for datenraffinerie 1.0.15
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| datenraffinerie-1.0.15.tar.gz | 57.1 kB | Without provenance | Details for datenraffinerie-1.0.15.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datenraffinerie-1.0.15-py3-none-any.whl | Python 3 | none | any | Details for datenraffinerie-1.0.15-py3-none-any.whl |
Total release size: 113.8 kB
Release files / datenraffinerie-1.0.15.tar.gz
| Download URL | datenraffinerie-1.0.15.tar.gz |
|---|---|
| Size | 57.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.15
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Release files / datenraffinerie-1.0.15-py3-none-any.whl
| Download URL | datenraffinerie-1.0.15-py3-none-any.whl |
|---|---|
| Size | 56.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.15
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Security for datenraffinerie 1.0.15
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