forecastiopy | A Python wrapper for the forecast.io API | REST library

by dvdme Python Version: 0.22 License: EPL-1.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | forecastiopy Summary

forecastiopy is a Python library typically used in Web Services, REST applications. forecastiopy has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install forecastiopy' or download it from GitHub, PyPI.

| Branch | Travis CI | Appveyor | | ------------- |:-------------:| ----- | | master |[Build Status] status(| dev |[Build Status] status(

Support

Quality

Security

License

Reuse

Support

forecastiopy has a low active ecosystem.

It has 26 star(s) with 38 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 6 have been closed. On average issues are closed in 71 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of forecastiopy is 0.22

Quality

forecastiopy has 0 bugs and 0 code smells.

Security

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

forecastiopy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

forecastiopy is licensed under the EPL-1.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

forecastiopy 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.

forecastiopy saves you 152 person hours of effort in developing the same functionality from scratch.

It has 379 lines of code, 55 functions and 13 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Fetches the forecast
Make HTTP GET request
Build the URL for the forecast
List of available flags
Get the flags

Get all kandi verified functions for this library.

forecastiopy Key Features

No Key Features are available at this moment for forecastiopy.

forecastiopy Examples and Code Snippets

No Code Snippets are available at this moment for forecastiopy.

Community Discussions

Trending Discussions on forecastiopy

Darksky Loop through one year of daily data - Datetime Error

AttributeError: module 'inspect' has no attribute 'getsource' using Textmate

QUESTION

Darksky Loop through one year of daily data - Datetime Error

Asked 2020-Feb-18 at 22:34

I attempt to loop through daily weather data in 2019 using forecastiopy but the error keeps showing. Not sure what the problem is.

...

ANSWER

Answered 2020-Feb-18 at 22:34

Source https://stackoverflow.com/questions/60289915

QUESTION

AttributeError: module 'inspect' has no attribute 'getsource' using Textmate

Asked 2019-Feb-01 at 04:30

This used to work in Textmate

...

ANSWER

Answered 2019-Feb-01 at 04:30

I fixed it. I had a user sample script called inspect.py which was using the inspect module in the same directory which was being imported instead of the actual module.

Source https://stackoverflow.com/questions/54413340

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

Vulnerabilities

No vulnerabilities reported

Install forecastiopy

You can install using 'pip install forecastiopy' or download it from GitHub, PyPI.
You can use forecastiopy 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 .

Find more information at: