TinySim
The goal of this project is to create more minimal simulation environments for robotics and machine learning.
Existing solutions like ROS 2 and Gymnasium come with many heavy dependencies.
Additionally they are usually difficult to get setup and may require domain specific knowledge to use. Simulation environments should be able to run in any notebook environment and require fewer dependencies.
Get Started 🚀
To use the baseline Python only simulation environments.
pip install tinysim
| MountainCarEnv | TopDownDrivingEnv |
|---|---|
 |
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| FroggerEnv | FlappyEnv |
|---|---|
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To use the warp simulation environments.
pip install tinysim[warp]
| CartPoleBaseEnv | SimpleRobotDogBaseEnv |
|---|---|
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To use the mujoco simulation environments.
pip install tinysim[mujoco]
| UnitreeA1WalkEnv | ManipulationEnvV0 |
|---|---|
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1 maintainer
Release files for tinysim 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tinysim-0.0.5.tar.gz | 4.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tinysim-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 MB
Release files / tinysim-0.0.5.tar.gz
| Download URL | tinysim-0.0.5.tar.gz |
|---|---|
| Size | 4.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / tinysim-0.0.5-py3-none-any.whl
| Download URL | tinysim-0.0.5-py3-none-any.whl |
|---|---|
| Size | 4.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2f96fec84ab9f5719859b46f3c4b566921279c0cb937e41d40a8572a6bae7b0d
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BLAKE2b-256 checksum How to use checksums |
e9904529f0b70b39b4a03245af140d3350f67681603a97a5d5f4e7130129c1ae
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 3, 2026.
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