Pypredict | Real-time satellite tracker and orbit propagator

by spel-uchile Python Version: v3.3.1 License: GPL-3.0

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

kandi X-RAY | Pypredict Summary

Pypredict is a Python library. Pypredict has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However Pypredict has 1 bugs. You can download it from GitHub.

This software is a real-time satellite tracker and orbit propagator. It displays any satellite's position and orbital parameters in real time. It can also simulate satellite deployments of one satellite from another with different velocities, considering the mass of the satellites. It is inspired by Gpredict and Orbitron.

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Quality

Security

License

Reuse

Support

Pypredict has a low active ecosystem.

It has 35 star(s) with 5 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 16 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Pypredict is v3.3.1

Quality

Pypredict has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 251 code smells.

Security

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

Pypredict code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Pypredict is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

Pypredict releases are available to install and integrate.

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

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

It has 2751 lines of code, 227 functions and 19 files.

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

Top functions reviewed by kandi - BETA

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

Setup the UI
Translate the UI
Test case
Compute the Q matrix Q
Predict the state of a function
Performs the RBF
Simulate the deployment in 1D
Generate the noise noise
Calculate noise based on yaw
Generate a simulated time series
Add sat
Runs test on model
Plot the RCRB figure
Plot the plot of the ground motion
This method saves the crb to a csv file
Generate rcrb data from generated data
Function to plot the ADCS plot
Function to plot a 2D plot
Plot a figure 3
Plot a figure 4 grid
Create a TLE
Generate TLEs for a given stage
Deploys a new satellite
Calculate FIM
Calculate the coverage angle of the particle
Generate the data

Get all kandi verified functions for this library.

Pypredict Key Features

No Key Features are available at this moment for Pypredict.

Pypredict Examples and Code Snippets

No Code Snippets are available at this moment for Pypredict.

Community Discussions

Trending Discussions on Pypredict

Pyephem and pypredict/gpredict differences

QUESTION

Pyephem and pypredict/gpredict differences

Asked 2018-Oct-01 at 14:46

I am trying to use pyephem to predict satellite passes for a ground station. However, the results I get are quite different from the ones I get with pypredict and gpredict. Here is the code I wrote.

...

ANSWER

Answered 2018-Oct-01 at 14:46

If I'm remembering correctly, a very awkward interface decision in PyEphem was that angles provided as floats are radians. (One reason I started writing Skyfield was to have an astronomy library without that problem!)

Try:

Source https://stackoverflow.com/questions/52591629

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

Vulnerabilities

No vulnerabilities reported

Install Pypredict

You can download it from GitHub.
You can use Pypredict 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.