Skip to main content

NMS.py

NMS.py is a python library to expose interal game functions for No Man's Sky.

NOTE: This library is missing a lot of info which will gradually get added over time. It should also be noted that Game updates can very easily break mods utilising NMS.py, so care should be taken when using mods. Any responsibility for broken saves is entirely on the users of this library.

Also note that this library will never contain functions relating to online functionality to avoid any abuse. The author of this library does not condone any use of this code for any purpose that is directly detrimental to other players.

Installation

Note: It is recommended that you download python from the official site as the windows store version may have issues, as well as the managed python which uv installs.

Note: Python 3.14 is not yet supported. This will come in time but requires some changes to a dependency in pyMHF.

The recommended way to install NMS.py is to simply run python -m pip install nmspy. This will install NMS.py and its' dependency pyMHF into your system python. You can of course install it in a venv or as a dependency using uv if you prefer.

Usage

To run NMS.py, enter the following command into a terminal:

pymhf run nmspy

This will display some config options to complete. The only option to consider is the location of the mods folder. It is recommended that you specify the MODS folder inside the GAMEDATA folder as your mod directory (ie. the same one you put normal mods in). All mods will be placed in either this folder, or in a chcild folder of this. You can essentially think of any mod using NMS.py being able to be "installed" in the same way you would any other normal mod.

If NMS.py starts up successfully you should see two extra windows; an auto-created GUI from pyMHF, and a terminal window which will show the logs for pyMHF.

If you want to stop NMS, you can press ctrl + C in the window you started the process in to kill it.

Writing mods

Currently the best way to see how to write a mod is to look at the example_mods folder, as well as looking at the pyMHF docs which has comprehensive details on how to use pyMHF.

Contributing

NMS.py can always be better! If you are interested in improving it, the best way to do so is to either make mods using it, or, if you have reverse engineering skills, you can contribute either new functions or new field offsets.

Adding new functions to hook

To add a new function to hook you need to add the details to tools/data.json as well as the nmspy/data/types.py file. The data for these can generally be found by comparing the structure of the function in the latest exe to either the mac binary or the 4.13 binary. It is recommended to use either IDA Fusion or SigmakerEX for IDA or some other plugin for any other disassembler to get the unique byte pattern for the function you are providing.

Adding new struct fields

This is a bit trickier and will often involve a good amount of reverse engineering of the exe, comparing the data to the 4.13 binary as well as potentially the mac binary. It is best if a comment is made above the added field so that it's possible to find it again when the game updates so that it's possible to check if the offset has changed.

Credits

Thanks to the developers of minhook, cyminhook and pymem, all of which are instrumental in making this framework possible.

Big thanks to vitalised for their constant RE discussions, and gurren3 for the same as well as the initial work done on NMS.API which heavily inspired the creation of this.

Thanks also to the many people I have discussed various NMS details with, both big and small.

Thanks to RaYRoD for initially discovering the pdb as well as regular insightful discussions regarding all things reverse engineering NMS.

Thanks also to anyone who has contributed function definitions or patterns. Any and all help is always appreciated!

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nmspy-170671.5.tar.gz (492.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nmspy-170671.5-py3-none-any.whl (427.4 kB view details)

Uploaded Python 3

File details

Details for the file nmspy-170671.5.tar.gz.

File metadata

  • Download URL: nmspy-170671.5.tar.gz
  • Upload date:
  • Size: 492.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for nmspy-170671.5.tar.gz
Algorithm Hash digest
SHA256 e00dca4b2f658160c1e02595c008cc1b6f31f76d8a2f6d482b86b4cc1c85885b
MD5 d5b8f6fb1e5447cbcb5a9bb8bed797c2
BLAKE2b-256 ce9b15dd04dd2719217140bce0ad14a81ed5b6e4009e4bc8a30f31163c29d6e2

See more details on using hashes here.

Provenance

The following attestation bundles were made for nmspy-170671.5.tar.gz:

Publisher: pipeline.yml on monkeyman192/NMS.py

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nmspy-170671.5-py3-none-any.whl.

File metadata

  • Download URL: nmspy-170671.5-py3-none-any.whl
  • Upload date:
  • Size: 427.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for nmspy-170671.5-py3-none-any.whl
Algorithm Hash digest
SHA256 00af69b48dcd2a316c19b604bd6013c51aa3b78226421c0d7e0cf8fb867bad90
MD5 0d149fc53d5e2dccf0174d104f599b09
BLAKE2b-256 fceaa5d3880bbd78f9d94f0f8ad743261e9ca23a4b045002323219f2fa773998

See more details on using hashes here.

Provenance

The following attestation bundles were made for nmspy-170671.5-py3-none-any.whl:

Publisher: pipeline.yml on monkeyman192/NMS.py

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

170671.5 This release

2 files

170671.4

2 files

170671.3

2 files

170671.2

2 files

170671.1

2 files

170671.0

2 files

169922.0

2 files

169265.0

2 files

166006.0

2 files

165932.0

2 files

165611.0

2 files

161765.3

2 files

161765.2

2 files

161765.1

2 files

161765.0

2 files

161436.0

2 files

159106.0

2 files

157371.0

2 files

156355.0

2 files

155983.0

2 files

155759.0

2 files

155346.0

2 files

152998.0

2 files

151441.0

2 files

147803.1

2 files

147803.0

2 files

147408.1

2 files

147408.0

2 files

147323.0

2 files

146545.0

2 files

0.7.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page