crystalball | A Magical Web Screenshot Project | Security Testing library
kandi X-RAY | crystalball Summary
kandi X-RAY | crystalball Summary
crystalball is a TypeScript library typically used in Testing, Security Testing applications. crystalball has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
A Magical Web Screenshot Project
A Magical Web Screenshot Project
Support
Quality
Security
License
Reuse
Support
crystalball has a low active ecosystem.
It has 36 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
crystalball has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of crystalball is current.
Quality
crystalball has no bugs reported.
Security
crystalball has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
crystalball 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
crystalball releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of crystalball
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of crystalball
crystalball Key Features
No Key Features are available at this moment for crystalball.
crystalball Examples and Code Snippets
No Code Snippets are available at this moment for crystalball.
Community Discussions
Trending Discussions on crystalball
QUESTION
Scipy distributions on symfit?
Asked 2020-Nov-25 at 11:08
I think the title is self explaining.
I really want to use several pdfs already implemented on scipy.stats as models for a symfit model, e.g., CrystalBall or Johnson functions. I have tried with a gaussian distribution with the following code:
...ANSWER
Answered 2020-Nov-25 at 11:08It is possible to do this using a CallableNumericalModel
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install crystalball
Import: import * as O from "crystalball"; Require: const O = require("crystalball");.
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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page