View mushroom-rl on Snyk Open Source Advisor

Package Health Score

65 / 100

security
Security review needed
popularity
Small
maintenance
Sustainable
community
Sustainable

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Popularity

Small

GitHub Stars: 820
Forks: 148
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mushroom-rl, we found that it has been starred 820 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 18, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 5
Open PR: 3
Last Release: 7 months ago
Last Commit: 1 month ago

Further analysis of the maintenance status of mushroom-rl based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that mushroom-rl demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 30
Funding: No

With more than 10 contributors for the mushroom-rl repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like mushroom-rl is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.*

Age: 5 years
Latest Release: 7 months ago
Dependencies: 9 Direct / 32 Total
Versions: 20
Maintainers: 2
Wheels: No

Readme

MushroomRL is a Python Reinforcement Learning (RL) library whose modularity allows to easily use well-known Python libraries for tensor computation (e.g. PyTorch, Tensorflow) and RL benchmarks (e.g. OpenAI Gym, PyBullet, Deepmind Control Suite). It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC, TD3, TRPO, PPO). Full documentation available at .

mushroom-rl dependencies

joblib matplotlib numpy pygame pytest scikit-learn scipy torch tqdm

FAQs

What is mushroom-rl?

A Python library for Reinforcement Learning experiments. Visit Snyk Advisor to see a full health score report for mushroom-rl, including popularity, security, maintenance & community analysis.

Is mushroom-rl popular?

The python package mushroom-rl receives a total of 301 weekly downloads. As such, mushroom-rl popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mushroom-rl well maintained?

We found indications that mushroom-rl maintenance is sustainable demonstrating some project activity. We saw a total of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is mushroom-rl safe to use?

While scanning the latest version of mushroom-rl, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 22 November-2024, at 22:34 (UTC).

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mushroom-rl

A Python library for Reinforcement Learning experiments. For more information about how to use this package see README

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Readme

mushroom-rl dependencies

FAQs

What is mushroom-rl?

Is mushroom-rl popular?

Is mushroom-rl well maintained?

Is mushroom-rl safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

mushroom-rl dependencies

FAQs

What is mushroom-rl?

Is mushroom-rl popular?

Is mushroom-rl well maintained?

Is mushroom-rl safe to use?

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Source Code

Open Source

Container

Config

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