Monitoring the global carbon market
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
carbonplan / offsets-db-data
Utilities for cleaning, and processing data for the OffsetsDB web tool
installation
To install the package, you can use pip:
python -m pip install git+https://github.com/carbonplan/offsets-db-data.git
You can also install the package locally by cloning the repository and running:
git clone https://github.com/carbonplan/offsets-db-data.git
cd offsets-db-data
python -m pip install -e .
To install the dependencies for development, you can use pip:
python -m pip install -e ".[all]"
# or
python -m pip install -e ".[dev]"
building the documentation
To build the documentation locally, you can use sphinx. You can install the documentation dependencies by running:
python -m pip install -e ".[docs]"
Then, you can build the documentation by running:
sphinx-build docs docs/_build
You can view the documentation by opening docs/_build/index.html in your browser.
license
All the code in this repository is MIT licensed.
[!IMPORTANT] Data associated with this repository are subject to additional terms of data access.
about us
CarbonPlan is a non-profit organization that uses data and science for climate action. We aim to improve the transparency and scientific integrity of carbon removal and climate solutions through open data and tools. Find out more at carbonplan.org or get in touch by opening an issue or sending us an email.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file offsets_db_data-2024.11.1.tar.gz.
File metadata
- Download URL: offsets_db_data-2024.11.1.tar.gz
- Upload date:
- Size: 123.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 12a10b69810111418736602bd52db396c80612caf643f277b98e6556d54cb80d |
|
| MD5 | d9a4b6f86c5608dde9cd36b51a75ec28 |
|
| BLAKE2b-256 | 59b7a1693d074bc898e397e4bdbef97a6642e2218c17f3841286796c898677de |
Provenance
The following attestation bundles were made for offsets_db_data-2024.11.1.tar.gz:
Publisher:
pypi.yaml on carbonplan/offsets-db-data
-
Statement type:
https://in-toto.io/Statement/v1- Predicate type:
https://docs.pypi.org/attestations/publish/v1 - Subject name:
offsets_db_data-2024.11.1.tar.gz - Subject digest:
12a10b69810111418736602bd52db396c80612caf643f277b98e6556d54cb80d - Sigstore transparency entry: 150643742
- Sigstore integration time:
- Predicate type:
File details
Details for the file offsets_db_data-2024.11.1-py3-none-any.whl.
File metadata
- Download URL: offsets_db_data-2024.11.1-py3-none-any.whl
- Upload date:
- Size: 35.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0367fbd6096993fc82c6e6904043362b1643eb3a7f1cf003c869367b2ccb515 |
|
| MD5 | 47894f36fad1099d2dc7fab50d4f796d |
|
| BLAKE2b-256 | 244f74451a1d77649802404fe41f476be7ec9de617d43a7942c4ddecd8423e43 |
Provenance
The following attestation bundles were made for offsets_db_data-2024.11.1-py3-none-any.whl:
Publisher:
pypi.yaml on carbonplan/offsets-db-data
-
Statement type:
https://in-toto.io/Statement/v1- Predicate type:
https://docs.pypi.org/attestations/publish/v1 - Subject name:
offsets_db_data-2024.11.1-py3-none-any.whl - Subject digest:
c0367fbd6096993fc82c6e6904043362b1643eb3a7f1cf003c869367b2ccb515 - Sigstore transparency entry: 150643743
- Sigstore integration time:
- Predicate type:
