FlowUI | A flow-based data presentation interface

by dholm Python Version: 0.2.1 License: Non-SPDX

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

kandi X-RAY | FlowUI Summary

FlowUI is a Python library. FlowUI has no bugs, it has no vulnerabilities, it has build file available and it has low support. However FlowUI has a Non-SPDX License. You can install using 'pip install FlowUI' or download it from GitHub, PyPI.

FlowUI is a simple presentation toolkit for text-based displays where it is not possible to move the cursor backwards. All widgets are designed so that they are rendered one character at a time and assuming the cursor is moved forward one character each time. Originally FlowUI was developed as the presentation toolkit for (void)walker.

Support

Quality

Security

License

Reuse

Support

FlowUI has a low active ecosystem.

It has 14 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

FlowUI has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FlowUI is 0.2.1

Quality

FlowUI has 0 bugs and 0 code smells.

Security

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

FlowUI code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FlowUI 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

FlowUI 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.

FlowUI saves you 318 person hours of effort in developing the same functionality from scratch.

It has 764 lines of code, 76 functions and 19 files.

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

Top functions reviewed by kandi - BETA

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

Draws the table
Draw all rows
Calculate column width
Return the maximum cell width in the terminal
Given a list of desired widths and a desired widths
List of cells
Calculate the mean of each column
Calculate the median of the columns
Draw all cells
Return a dict of faces
Calculate fmt depth
Return the face of a face
Constructs the sgr
Return the number of characters in a string
Returns the length of a string
Filters given string
Format a string

Get all kandi verified functions for this library.

FlowUI Key Features

No Key Features are available at this moment for FlowUI.

FlowUI Examples and Code Snippets

FlowUI,Example

Python

Lines of Code : 22

License : Non-SPDX (NOASSERTION)

Copy

def sample_table(term):
    data = [['#', 'Thickness', 'Temperature', 'Concentration'],
            [1, 2.1740228, 82, 0.066],
            [2, 1.8774501, 77, 0.071],
            [3, 1.8774704, 77, 0.072],
            [4, 1.9762727, 79, 0.069]]

    t

FlowUI,Themes,Format controls

Python

Lines of Code : 2

License : Non-SPDX (NOASSERTION)

Copy

('%(face-statement)sif%(face-normal)s %(face-identifier)sa%(face-normal)s < '
 '%(face-constant)s5%(face-normal)s:')

Community Discussions

No Community Discussions are available at this moment for FlowUI.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install FlowUI

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