GMNSpy
Python tool for General Modeling Network Specification (GMNS) developed by Zephyr Foundation for Travel Analysis.
Installation
git clone https://github.com/e-lo/GMNSpy.git
cd GMNSpy
pip install .
Usage
Read a single file
Returns a dataframe that conforms to the specified schema and have been validated.
df = gmnspy.in_out.read_gmns_csv(data_filename, schema_file=schemafilename)
Read a network
Returns a dictionary of dataframes that conform to the specified schema and have been validated.
Checks foreign keys between files.
net = gmnspy.in_out.read_gmns_network(data_directory, config: "gmns.spec.json")
GMNS specification
A copy of the GMNS specification is kept in the /spec sub-directory as a
series of JSON tables.
Data Table schemas
Data table schemas are specified in JSON and are compatible with the frictionless data table schema standards.
Example:
{
"primaryKey": "segment_id",
"missingValues": ["NaN",""],
"fields": [
{
"name": "segment_id",
"type": "any",
"description": "Primary key.",
"constraints": {
"required": true,
"unique": true
}
},
{
"name": "road_link_id",
"type": "any",
"description": "Required. Foreign key to road_links. The link that the segment is located on.",
"foreign_key": "link.link_id",
"constraints": {
"required": true
}
},
{
"name": "ref_node_id",
"type": "any",
"description": "Required. Foreign key to node.",
"foreign_key": "node.node_id",
"constraints": {
"required": true
}
},
{
"name": "start_lr",
"type": "number",
"description": "Required. Distance from ref_node_id.",
"constraints": {
"required": true,
"minimum": 0
}
},
{
"name": "end_lr",
"type": "number",
"description": "Required. Distance from ref_node_id.",
"constraints": {
"required": true,
"minimum": 0
}
}
]
}
Network Data Config
Network data schemas are specified in JSON and are compatible with the frictionless data data package standards.
Example:
{
"profile": "gmns-data-package",
"profile_version":0.0,
"name": "my-dataset",
"resources": [
{
"name":"link",
"path": "link.csv",
"schema": "link.schema.json",
"required": true
},
{
"name":"node",
"path": "node.csv",
"schema": "node.schema.json",
"required": true
}
]
}
Issues
Please add issues, bugs, and feature requests to Github.
Roadmap
Current feature roadmap includes:
- conversion tools from open street map
- network connectivity checks
- auto documentation of schema to markdown files
- tests tests tests
Feel free to submit pull requests for consideration. See CONTRIBUTING for more detailed instructions.
Credits
Primary Author: Elizabeth Sall, UrbanLabs LLC
Contributing authors and code maintainers:
- Pedro Carmago, OuterLoop Consulting
- Ian Berg, Volpe Center
See all in CONTRIBUTORS.md
License to Use
The code herein is licensed under the Apache License 2.0 as defined in file.
Metadata
Release files for gmnspy 0.3.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| gmnspy-0.3.5.tar.gz | 28.5 kB | With provenance | Details for gmnspy-0.3.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| gmnspy-0.3.5-py3-none-any.whl | Python 3 | none | any | Details for gmnspy-0.3.5-py3-none-any.whl |
Total release size: 69.6 kB
Release files / gmnspy-0.3.5.tar.gz
| Download URL | gmnspy-0.3.5.tar.gz |
|---|---|
| Size | 28.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
525a9501ea4c07c8fc4a1ba26eb870837905194593e31768322b8bb18ee3006b
|
|
BLAKE2b-256 checksum How to use checksums |
3c46aac5c3cbf893fd6b3be9191aa2b938ccd43fa8d14c87870d2b73c4e0d0ba
|
| 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 26, 2026.
Transparency logRelease files / gmnspy-0.3.5-py3-none-any.whl
| Download URL | gmnspy-0.3.5-py3-none-any.whl |
|---|---|
| Size | 41.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cf8912f0c0db77c61b4a1a05258cf608b73618f128c9edee41477a44809f67b5
|
|
BLAKE2b-256 checksum How to use checksums |
d1a624a2fbd8c8e8ce487bab51d1b36488e92387201632dc4053c3c4c6fd9374
|
| 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 26, 2026.
Transparency logSecurity for gmnspy 0.3.5
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for gmnspy-0.3.5.tar.gz
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 26, 2026.
Transparency logA 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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.