django-timepiece | user Django application for tracking people
kandi X-RAY | django-timepiece Summary
kandi X-RAY | django-timepiece Summary
django-timepiece is a Python library. django-timepiece 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 django-timepiece' or download it from GitHub, PyPI.
A multi-user Django application for tracking people's time on projects.
A multi-user Django application for tracking people's time on projects.
Support
Quality
Security
License
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Support
django-timepiece has a low active ecosystem.
It has 344 star(s) with 104 fork(s). There are 35 watchers for this library.
It had no major release in the last 12 months.
There are 66 open issues and 462 have been closed. On average issues are closed in 32 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of django-timepiece is 1.1.0
Quality
django-timepiece has 0 bugs and 0 code smells.
Security
django-timepiece has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-timepiece code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-timepiece is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
django-timepiece 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 django-timepiece and discovered the below as its top functions. This is intended to give you an instant insight into django-timepiece implemented functionality, and help decide if they suit your requirements.
- View a user s time sheet
- Summarize a list of entries
- Gets the start of the week
- Calculates grouped daily totals for each day
- Generate a PayrollSummary for a given month
- Returns a tuple of the date and the datetime
- Generate a rrule rrule
- Create an invoice
- Overrides save method
- Render an entry group
- Creates a new entry in
- Report the accuracy of the contract contracts
- Toggle paused entry
- Update the project hours
- Return default defaults
- Return the active entry
- Show all entries
- Convert context data to a CSV
- Logs out a user out of an activity
- Convert context to a CSV
- Render the project hours search form
- Reject a user s entries
- List all invoices for a given period
- Add entries to the context
- Return context data
- Return a list of billable hours
Get all kandi verified functions for this library.
django-timepiece Key Features
No Key Features are available at this moment for django-timepiece.
django-timepiece Examples and Code Snippets
No Code Snippets are available at this moment for django-timepiece.
Community Discussions
No Community Discussions are available at this moment for django-timepiece.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-timepiece
You can install using 'pip install django-timepiece' or download it from GitHub, PyPI.
You can use django-timepiece 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 django-timepiece 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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