pkdb | Pharmacokinetics database

by matthiaskoenig Python Version: v0.9.5 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pkdb Summary

pkdb is a Python library. pkdb has no bugs, it has no vulnerabilities and it has low support. However pkdb build file is not available. You can download it from GitHub.

[^] PK-DB is a database and web interface for pharmacokinetics data and information from clinical trials as well as pre-clinical research. PK-DB allows to curate pharmacokinetics data integrated with the corresponding meta-information. PK-DB is available at

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Support

pkdb has a low active ecosystem.

It has 10 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 632 have been closed. On average issues are closed in 48 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pkdb is v0.9.5

Quality

pkdb has no bugs reported.

Security

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

License

pkdb does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pkdb releases are available to install and integrate.

pkdb has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Validate rating and rating
Delete the reference set
Return an instance of the model
Handles GET requests
Decompress error data
Transform ex_ex fields into a dictionary
Provide mapping of exes to a mapping
Return a list of entries from a data file
Add statistics to data
Create a SocialApp instance
Decompress data into internal format
Return the representation of the model
Parse the entry data
Creates an output
Update a study
Create a new group
Serialize the group data
Create a dataset instance
Validate the attributes
Create a new user
Transforms data into external format
Validate data
Creates a group from validated data
Decompress external data
Create a model instance from validated data
Validate the attributes of a measurement

Get all kandi verified functions for this library.

pkdb Key Features

No Key Features are available at this moment for pkdb.

pkdb Examples and Code Snippets

No Code Snippets are available at this moment for pkdb.

Community Discussions

Trending Discussions on pkdb

Promise handling - update db entry if exists

QUESTION

Promise handling - update db entry if exists

Asked 2018-Feb-27 at 18:12

I am stuck with new challenge on Promises.

Goal: Update the DB entry only if P_KEY exists.

current db is exposed through module and module has get and put method for db. Both returning Promise.

Approach:

API calls for update method handler on node js with ID and Set of values (json)
In handler for post method call to get method of db module check if value on promise success is empty or not if yes return false else true.
If true; data exists call to put method of db module.

but somehow data it always returns false. even if db entry has been made through db api.

...

ANSWER

Answered 2017-Aug-12 at 06:22

checkIfPKExists() is an asynchronous function, if you want to use ch you would have to use a .then() to get it in a function and then use the value.

Source https://stackoverflow.com/questions/45647028

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

Vulnerabilities

No vulnerabilities reported

Install pkdb

You can download it from GitHub.
You can use pkdb 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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