karabo_data | Python tools to read and analyse data from European XFEL

by European-XFEL Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | karabo_data Summary

karabo_data is a Python library. karabo_data has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install karabo_data' or download it from GitHub, PyPI.

Python 3 tools for reading European XFEL’s HDF5 files. karabo_data has been renamed to [EXtra-data] (for data access) and [EXtra-geom] (for detector geometry and image assembly). Please use those packages for new code.

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Quality

Security

License

Reuse

Support

karabo_data has a low active ecosystem.

It has 12 star(s) with 7 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 29 open issues and 41 have been closed. On average issues are closed in 24 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of karabo_data is current.

Quality

karabo_data has no bugs reported.

Security

karabo_data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

karabo_data is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

karabo_data releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

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

Top functions reviewed by kandi - BETA

kandi has reviewed karabo_data and discovered the below as its top functions. This is intended to give you an instant insight into karabo_data implemented functionality, and help decide if they suit your requirements.

Get a numpy array from a source
Check that the field exists
Return a list of keys for a source
Return a set of keys for a source
Write the experiment data to a HDX file
Return detector information
Collect calibrated data
Print info about the detector
Serve ZMQ files
Construct a RunCollection from a directory
Plot the DSSC detector geometry
Return a pandas DataFrame of all sources
Plot the image geometry
Plot detector geometry
Create a DataCollection from a directory
Plot all the modules
Generate summary of a run
Get data counts for a given source
Write the crystal data to a file
Interpolate the modules
Return the distortion array as a numpy array
Plot the grid data
Plot the mesh
Print out information about the detector
Inspect the detector
Generate a plot of data
Returns an iterator over train trains

Get all kandi verified functions for this library.

karabo_data Key Features

No Key Features are available at this moment for karabo_data.

karabo_data Examples and Code Snippets

No Code Snippets are available at this moment for karabo_data.

Community Discussions

No Community Discussions are available at this moment for karabo_data.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install karabo_data

You can install using 'pip install karabo_data' or download it from GitHub, PyPI.
You can use karabo_data like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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