taskw | python taskwarrior api
kandi X-RAY | taskw Summary
kandi X-RAY | taskw Summary
taskw is a Python library. taskw has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However taskw has 9 bugs. You can install using 'pip install taskw' or download it from GitHub, PyPI.
python taskwarrior api
python taskwarrior api
Support
Quality
Security
License
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Support
taskw has a low active ecosystem.
It has 164 star(s) with 42 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 22 open issues and 33 have been closed. On average issues are closed in 33 days. There are 10 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of taskw is ralphbean
Quality
taskw has 9 bugs (7 blocker, 0 critical, 2 major, 0 minor) and 91 code smells.
Security
taskw has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
taskw code analysis shows 0 unresolved vulnerabilities.
There are 3 security hotspots that need review.
License
taskw is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
taskw 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.
Top functions reviewed by kandi - BETA
kandi has reviewed taskw and discovered the below as its top functions. This is intended to give you an instant insight into taskw implemented functionality, and help decide if they suit your requirements.
- Update a task
- Return a dictionary of the changes in the model
- Return the converter for the given field
- Serialize value
- Add a task to the taskwarrior
- Return a Task instance for the given description
- Returns the taskwarrior version
- Return a dictionary representation of the object
- Reads a config file
- Returns all tasks that match the given filter
- Create a task
- Deserializes an annotation array
- Returns a dictionary of all pending tasks
- Create a new instance from a stub
- Mark a task as done
- Update the dictionary with the given values
- Delete a task
- Mark a task as deleted
- Checks if the current version can use
- Sync tasks
- Start a task
- Stop a task
- Merges two annotations
- Return information about a task
- Returns all tasks that match a given function
- Deserialize value
Get all kandi verified functions for this library.
taskw Key Features
No Key Features are available at this moment for taskw.
taskw Examples and Code Snippets
No Code Snippets are available at this moment for taskw.
Community Discussions
Trending Discussions on taskw
QUESTION
TypeError: __init__() got multiple values for keyword argument 'add_config_file_help'
Asked 2018-Feb-27 at 19:32
I'm trying to run Retrieval-eval.py, but I am encountering the following error:
...ANSWER
Answered 2018-Feb-27 at 19:32This is mainly due to a bug in latest version of ConfigArgParse. For now to get you unblocked please install some version other than latest by running this command:
pip install --no-cache-dir ConfigArgParse>=0.10.0,<0.13.0
If you are running from within a shell you may want to escape some chars:
pip install --no-cache-dir ConfigArgParse\>\=0.10.0,\<0.13.0
and now you should be able to run the example: `
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install taskw
You can install using 'pip install taskw' or download it from GitHub, PyPI.
You can use taskw 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.
You can use taskw 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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