About MMM Proto Schema
The MMM Proto Schema is a language-agnostic data standard for representing trained Marketing Mix Models (MMMs) and their analysis artifacts in a consistent, serializable format. It establishes a common language for MMM outputs, allowing results from different tools and methodologies to be uniformly represented, stored, shared, and compared. This standardized representation enhances interoperability and facilitates downstream applications like scenario planning, optimization, and reporting.
Install Meridian with MMM Proto Schema
Using PIP:
pip install --upgrade mmm-proto-schema
Alternatively, to install this package from source code:
git clone https://github.com/google/meridian.git
cd meridian
pip install .[schema]
1 maintainer
Metadata
1 maintainer
Release files for mmm-proto-schema 1.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mmm_proto_schema-1.4.0.tar.gz | 28.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mmm_proto_schema-1.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 104.3 kB
Release files / mmm_proto_schema-1.4.0.tar.gz
| Download URL | mmm_proto_schema-1.4.0.tar.gz |
|---|---|
| Size | 28.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dd68e26dfefa595651d8fca9f5e52f97a08db2ba12e51c2f5bc0db6d28d6161b
|
|
BLAKE2b-256 checksum How to use checksums |
2226fd11bea40ebc52fa69aaf0a9e93c9c8a94c8a2ecad93376c7da885917a48
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 15, 2026.
Transparency logRelease files / mmm_proto_schema-1.4.0-py3-none-any.whl
| Download URL | mmm_proto_schema-1.4.0-py3-none-any.whl |
|---|---|
| Size | 75.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7cc30e1c8550e6fe3dcde5b5e2e7ea0f28311a64a5592c345a0fb7b90038cf73
|
|
BLAKE2b-256 checksum How to use checksums |
2de89b8fcecf79509617c43ec843b089876fce170354d5c17054f516858cca1e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 15, 2026.
Transparency log
