Zwony /

ecotrace

A lightweight Python library to measure the carbon footprint of your code

A new way for AI to search for data
View on GitHub
35GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 7db4e1c33e (2026-09-29).

Selected work

Emre
@Zwony

“add --table flag with ASCII breakdown to analyze (#197) (#…”. 5 files, 573 lines in ecotrace, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

carbon-footprintclimateco2energy-efficiencygreen-softwareprofilingpythonsustainability

Example questions

The prompt

Paste it into your AI agent. It clones Zwony/ecotrace at the pinned commit and indexes it on your machine.

Search the GitHub repository Zwony/ecotrace with XERJ (https://hub.xerj.org/corpus/zwony--ecotrace).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/Zwony/ecotrace ecotrace && git -C ecotrace checkout 7db4e1c33ee8b6a05ca04b0e50af3117cf15bcb7
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ecotrace --url http://127.0.0.1:9200 --prefix ecotrace --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Emre API design and specification corporagpt-engineericd10-whoicd10cm-codessepehr071/snapp-mcpThegreatprabh/ArgusWashingtonYandun/W

Selected work and consent: the XERJ registry.