NetGreener CLI
NetGreener is the AI developer agent and runtime control layer for measuring and reducing compute cost, energy, carbon, and water across the software lifecycle.
Use the CLI to analyze code, run workloads with metering, gate CI on energy, and upload findings to the NetGreener dashboard.
Install
pip install netgreener
Platform wheels (protected agent): Windows (amd64) and Linux (manylinux).
netgreener login
netgreener analyze .
netgreener run train.py .
netgreener check --run-id <id>
Notes
- TensorFlow is not bundled. Optional tabular VGG16 / image ResNet dataset features need a source/dev install plus
pip install tensorflow. - Same commands work from the VS Code / Cursor extension (
netgreener.cliPath).
Docs
- https://dashboard.netgreener.com
- Project handbook and CI examples live in the NetGreener documentation set.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file netgreener-0.3.16-py3-none-win_amd64.whl.
File metadata
- Download URL: netgreener-0.3.16-py3-none-win_amd64.whl
- Upload date:
- Size: 107.9 MB
- Tags: Python 3, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/7.0.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8ff928365e2a6530f8b84617cb3c354a28fd241c625c0d04a9b509a940c2f2c1
|
|
| MD5 |
7a4e41f88687e1b841ba8434762d6be2
|
|
| BLAKE2b-256 |
8f8474bc39c8e44667a70bf2307bb1c2c54faa5c33400d234a0b7c396e227dd1
|
File details
Details for the file netgreener-0.3.16-py3-none-manylinux_2_31_x86_64.whl.
File metadata
- Download URL: netgreener-0.3.16-py3-none-manylinux_2_31_x86_64.whl
- Upload date:
- Size: 124.9 MB
- Tags: Python 3, manylinux: glibc 2.31+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/7.0.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dece88050515898ac425c1e9e392f8eae272be8539e8458a0a530cef84084974
|
|
| MD5 |
03d4ed7d071f4ffbeffced6ef26ffbe1
|
|
| BLAKE2b-256 |
685c04833c185a678aa908123e3ae73fa4ef69a0676b2ca187d8c907df807aef
|
