Omnigraph
Graph engine for context assembly. Object-storage native. Agents work with graph data the way engineers work with code: branched, typed, reviewed, merged, audited, and governed.
Aircraft Emissions Inventory Code
Translation pending
DataPython · Jupyter NotebookGitHub @MIT-LAEOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
Loading the full README. The saved excerpt is shown below.
Aviation Emissions Inventory Code (AEIC) is used to estimate aviation emissions using an aircraft performance model and a set of missions. It produces inventories that can be sliced by aircraft type, time period, or operating scenario to support analysis and reporting. Core modules cover mission definitions, trajectories, performance models, emissions estimation, gridding, and weather.
AEIC is not currently available on PyPI, but you can install releases from
GitHub. The latest available version is v0.4.0. If you are using pip, doRead the full README ↗Aviation Emissions Inventory Code (AEIC) is used to estimate aviation emissions using an aircraft performance model and a set of missions. It produces inventories that can be sliced by aircraft type, time period, or operating scenario to support analysis and reporting. Core modules cover mission definitions, trajectories, performance models, emissions estimation, gridding, and weather.
AEIC is not currently available on PyPI, but you can install releases from
GitHub. The latest available version is v3.0.0. If you are using pip, do
pip install git+https://github.com/MIT-LAE/[email protected]
If you are using uv, do
uv add git+https://github.com/MIT-LAE/[email protected]
If you intend to develop AEIC itself, see the
developer setup guide for the recommended
uv-based workflow, test runner configuration, and pre-commit hooks.
AEIC works in SI units. The only exception is the pressure altitude, which has both SI and imperial flight level representations. All non-dimensional quantities are treated internally as SI.