create-rl-app
A CLI application to bootstrap reinforcement learning applications within the Jaxnasium ecosystem. Quickly scaffold new RL projects for either developing environments with baseline algorithms or for altering existing baselines.
What it does
create-rl-app is a command-line tool that helps you quickly set up new reinforcement learning projects using the Jaxnasium framework. It has three commands:
create-rl-app init <project_name>- bootstrap a new project (uv init --package+uv add jaxnasium+ a training script and, optionally, an example environment and algorithm source code).create-rl-app add <item>- scaffold an individual file (algorithm, architecture, ...) from jaxnasium into the current directory. Runcreate-rl-app add --listto see what's available.<package> add <item>- the same, but for any other installed package that ships its owncreate-rl-app.toml(e.g.uvx jaxnasium add ppo).
Useage
uvx (Recommended)
uvx create-rl-app init <project_name>
cd <project_name>
uv run train.py
pipx
pipx run create-rl-app <project_name>
cd <project_name>
# Create a new environment (e.g. conda, venv, etc.)
# source .../bin/activate
python train.py
Or Install Globally
uv tool install create-rl-app
pip install create-rl-app
Dependencies
None.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Metadata
Release files for create-rl-app 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| create_rl_app-0.1.0.tar.gz | 9.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| create_rl_app-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / create_rl_app-0.1.0.tar.gz
| Download URL | create_rl_app-0.1.0.tar.gz |
|---|---|
| Size | 9.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c27a91abe1d85fd4d4dcf23d447bfe379f4eb32c768083b0587e0725d59181b5
|
|
BLAKE2b-256 checksum How to use checksums |
a9902ded098e4a22dba5d043bc503b347cb82c75b7bcf723a4cb5f2de4074ef9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.19 {"installer":{"name":"uv","version":"0.12.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Fedora Linux","version":"44","id":"","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / create_rl_app-0.1.0-py3-none-any.whl
| Download URL | create_rl_app-0.1.0-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a14c53af9e89aca4c4746a79429e35511b1fbe5ed44aa2781f132dbeba708fd8
|
|
BLAKE2b-256 checksum How to use checksums |
7eafb036ac6fe3fb2a835f1a9b3c9f55ee01a309b477d08504133dabf5df4f25
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.19 {"installer":{"name":"uv","version":"0.12.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Fedora Linux","version":"44","id":"","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for create-rl-app 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.