Package Health Score

72 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Sustainable

Popularity

Limited

GitHub Stars: 17
Forks: 6
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package flatland-rl, we found that it has been starred 17 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 23, 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
0
M
0
L

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

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 18
Open PR: 0
Last Release: 17 days ago
Last Commit: 16 days ago

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

We found that flatland-rl demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

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

With more than 10 contributors for the flatland-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 flatland-rl is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 5 years
Latest Release: 17 days ago
Dependencies: 28 Direct
Versions: 50
Maintainers: 5
Wheels: OS Independent

Readme

🚂 Flatland

Flatland

Flatland is a open-source toolkit for developing and comparing Multi-Agent Reinforcement Learning algorithms in little (or ridiculously large!) gridworlds.

The official website contains full details about the environment and problem statement.

Flatland is tested with Python 3.8, 3.9 and 3.10 on modern versions of macOS, Linux and Windows. You may encounter problems with graphical rendering if you use WSL.

🏆 Challenges

This library was developed specifically for the AIcrowd Flatland challenges in which we strongly encourage you to take part in!

📦 Setup

Setup virtual environment

Set up a virtual environment using your preferred method (we suggest the built-in venv) and activate it. You can use your IDE to do this or by using the command line:

python -m venv .venv
source .venv/bin/activate

Stable release

Install Flatland using pip:

python -m pip install flatland-rl

This is the preferred method to install Flatland, as it will always install the most recent stable release.

👥 Credits

This library was developed by SBB, Deutsche Bahn, SNCF, AIcrowd and numerous contributors from the flatland community.

➕ Contributions

Please follow the Contribution Guidelines for more details on how you can successfully contribute to the project. We enthusiastically look forward to your contributions!

💬 Communication

Issue Tracker

🔗 Partners

FAQs

What is flatland-rl?

Multi Agent Reinforcement Learning on Trains. Visit Snyk Advisor to see a full health score report for flatland-rl, including popularity, security, maintenance & community analysis.

Is flatland-rl popular?

The python package flatland-rl receives a total of 416 weekly downloads. As such, flatland-rl popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is flatland-rl well maintained?

We found that flatland-rl demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is flatland-rl safe to use?

The python package flatland-rl was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 7 May-2024, at 01:23 (UTC).

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flatland-rl

Multi Agent Reinforcement Learning on Trains For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

🚂 Flatland

🏆 Challenges

📦 Setup

Setup virtual environment

Stable release

👥 Credits

➕ Contributions

💬 Communication

🔗 Partners

flatland-rl dependencies

FAQs

What is flatland-rl?

Is flatland-rl popular?

Is flatland-rl well maintained?

Is flatland-rl safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

🚂 Flatland

🏆 Challenges

📦 Setup

Setup virtual environment

Stable release

👥 Credits

➕ Contributions

💬 Communication

🔗 Partners

flatland-rl dependencies

FAQs

What is flatland-rl?

Is flatland-rl popular?

Is flatland-rl well maintained?

Is flatland-rl safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues