silx | silx toolkit - | Machine Learning library

by silx-kit Python Version: v1.1.2 License: MIT

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

kandi X-RAY | silx Summary

silx is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. silx has build file available, it has a Permissive License and it has low support. However silx has 24 bugs and it has 1 vulnerabilities. You can download it from GitHub.

silx toolkit

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Quality

Security

License

Reuse

Support

silx has a low active ecosystem.

It has 106 star(s) with 59 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 253 open issues and 1469 have been closed. On average issues are closed in 256 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of silx is v1.1.2

Quality

silx has 24 bugs (6 blocker, 0 critical, 14 major, 4 minor) and 5573 code smells.

Security

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

silx code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).

There are 35 security hotspots that need review.

License

silx 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

silx releases are available to install and integrate.

Build file is available. You can build the component from source.

silx saves you 102393 person hours of effort in developing the same functionality from scratch.

It has 110290 lines of code, 9859 functions and 601 files.

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

Top functions reviewed by kandi - BETA

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

r Solve least squares fit .
Returns the output of the image .
Calculate chisq_alpha beta .
Render the items in this plot .
Add a curve to the plot .
Create a profile on a 3D image .
Write a dictionary to hdf5 file .
Create HDF5 file with NX data .
Perform one iteration of one octave .
Create HDF5 types .

Get all kandi verified functions for this library.

silx Key Features

No Key Features are available at this moment for silx.

silx Examples and Code Snippets

No Code Snippets are available at this moment for silx.

Community Discussions

Trending Discussions on silx

Issue when drawing a numpy array into a QWidget

QUESTION

Issue when drawing a numpy array into a QWidget

Asked 2019-Jul-18 at 08:54

I'm trying to code a preview widget that is able to display a 2D numpy array image. This widget has a fixed size (square), but the image can have any shape.

It seems to work for some image shapes, but for other shapes it displays non-sense, and for some other shapes it crashes without any error message.

Do you see an obvious mistake in my code?

...

ANSWER

Answered 2019-Jul-17 at 13:11

I have only been able to reproduce the problem in the second case and I have found that the problem is the memory that since you are using the same object in all the transformations, in some cases the memory is being eliminated, the solution is to copy the data:

Source https://stackoverflow.com/questions/57071137

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

Vulnerabilities

No vulnerabilities reported

Install silx

You can download it from GitHub.
You can use silx 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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