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Python API wrapper for Castor EDC to fetch data from or post data to your clinical study.
Using conda and the conda-forge channel (recommended):
conda install -c conda-forge castorapi
But, you can also install using pip (https://pypi.org/project/castorapi/):
pip install castorapi
Using conda and the conda-forge channel:
conda update -c conda-forge castorapi
Using pip (https://pypi.org/project/castorapi/):
pip install castorapi --upgrade
First, make sure that save the client and secret from your Castor account in seperate client and secret files (without line endings) in a private folder on your PC. Do not share these files with anyone.
See also https://data.castoredc.com/api and https://helpdesk.castoredc.com/article/124-application-programming-interface-api
import castorapi as ca
c = ca.CastorApi('/path/to/folder/with/secret_client')
c.select_study_by_name('<CASTOR_STUDY_NAME>') # all following commands use this study selection
stats = c.request_statistics()
print(stats)
df_study, df_structure_study, df_report, df_structure_report, df_optiongroups_structure = c.records_reports_all()
users_in_study = c.request_studyuser()
print(users_in_study)
# Getting data from castor about patients in a study
c.request_study_records(record_id='CASTOR00010')
# Posting data to castor to create a new patient
# add institute_id and , request_method='POST' to use this functionality.
c.request_study_records(record_id='CASTOR00010', institute_id=<instituteID>, request_method='POST')
I am not affiliated with Castor EDC in any way. Use this software at your own risk. If this API tool does not suffice - take a look at the work from Reinier van Linschoten, who also created a Python package for two-way communication Castor EDC (2021). (https://github.com/reiniervlinschoten/castoredc_api)
FAQs
Python API wrapper for Castor EDC to fetch data from you clinical study.
We found that castorapi demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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