appaloosa | Python-based flare finding code for Kepler light curves | Data Visualization library

by jradavenport Python Version: v1.0.1 License: Non-SPDX

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

kandi X-RAY | appaloosa Summary

appaloosa is a Python library typically used in Analytics, Data Visualization applications. appaloosa has no bugs, it has no vulnerabilities and it has low support. However appaloosa build file is not available and it has a Non-SPDX License. You can download it from GitHub.

If you use this code, or the data table of flare stars, please cite the paper Davenport (2016, ApJ). This work is supported by a NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-1501418.

Support

Quality

Security

License

Reuse

Support

appaloosa has a low active ecosystem.

It has 5 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 3 have been closed. On average issues are closed in 149 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of appaloosa is v1.0.1

Quality

appaloosa has no bugs reported.

Security

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

License

appaloosa has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

appaloosa releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Run GetLC
Aflare function to create aflare 3 0
Perform a multi - find of the flux model
Generate a fake flare
Deprecated method
Rayleigh test
R Rayleigh power spectrum
Compute the energies of the given gmag
R Calculate the flux of an AB magnitude
Distribution modulus
Returns the likelihood of a flare
Calculate the eqe equation
Generate PDF2 plots
Compute the chisq
Prepare the wWU
Return a hexadecimal timestamp
Prepare UW object for UW
Perform a postcondor
Calculate the mass L
Make a paper1 plot

Get all kandi verified functions for this library.

appaloosa Key Features

No Key Features are available at this moment for appaloosa.

appaloosa Examples and Code Snippets

No Code Snippets are available at this moment for appaloosa.

Community Discussions

Trending Discussions on appaloosa

Manually installing an iOS enterprise app without "Untrusted Developer" warning (inhouse distribution)

QUESTION

Manually installing an iOS enterprise app without "Untrusted Developer" warning (inhouse distribution)

Asked 2018-Dec-09 at 20:07

As we all know, installing an inhouse signed iOS enterprise app manually on a device, will prompt the user to trust the Enterprise Developer before first use of the app.

However I'm currently looking into better options for iOS distribution scenarios where neither Public App Store, MDM nor connecting the device to a admin machine are options.

This documentation about the installation flow of appaloosa's enterprise app store seems to suggest that there is a flow where the user manually installs the iOS configuration profile first and then installs the IPA as usual in a second step. The screenshots in the documentation do not show any untrusted developer warning. I tried to reproduce the flow with a iOS configuration profile created in Apple Configurator 2 and signed with the inhouse distribution cert of the app I attempted to open afterwards. Unfortunately it would still bring up the warning for me, so either it is not possible or I missed something.

Question: Is it possible to get around the untrusted developer warning by manually installing an iOS configuration profile (e.g. including the inhouse distribution certificate) over the air beforehand? If yes, how does the configuration profile needs to be set up?

If this would be possible, it could improve UX for enterprise users by having a clean 2-step installation flow vs. a 1-step installation with a shady warning:

...

ANSWER

Answered 2017-Nov-19 at 17:58

No, there is no documented way that makes it possible.

You could advocate for a cleaner UX by feature requesting your proposed 2-step process.

Source https://stackoverflow.com/questions/47212693

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

Vulnerabilities

No vulnerabilities reported

Install appaloosa

You can download it from GitHub.
You can use appaloosa 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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