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weave

We unlock energy data for everyone

https://github.com/centre-for-ai-and-climate/weave

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

We unlock energy data for everyone

Basic Info
  • Host: GitHub
  • Owner: centre-for-ai-and-climate
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://weave.energy
  • Size: 7.69 MB
Statistics
  • Stars: 19
  • Watchers: 0
  • Forks: 3
  • Open Issues: 21
  • Releases: 0
Created almost 2 years ago · Last pushed 11 months ago
Metadata Files
Readme Contributing License

README.md

Weave

We unlock energy data: https://weave.energy

Map visualisation of the UK's energy consumption

This repository holds the data pipeline and technical documentation for Weave, a project by the Centre for AI and Climate and CEIMIA. Our mission is to accelerate the application of artificial intelligence and machine learning to climate problems. To do this, we're trying to improve access to valuable energy datasets, starting with granular smart meter data from UK electricity distribution network operators (DNOs). This dataset is valuable because it's the largest and most granular dataset of real domestic energy consumption anywhere in the world. We think it can help understand and potentially predict electricity demand in novel ways.

We have developed this iteratively, releasing alpha and beta versions previously, but we are now at a relatively stable version, which this repository represents. Importantly, this is also an open-source project and we welcome external contributions.

How do I get the data?

You do not need to run this code to get the data, this repository is the data pipeline that builds GeoParquet files and uploads them to our Amazon S3 bucket. Data is freely available from there, see https://weave.energy or the examples in our docs for more details.

Contributing

If you'd like to contribute to weave, see our documentation or our issues list for something to get stuck into.

Owner

  • Name: The Centre for AI and Climate
  • Login: centre-for-ai-and-climate
  • Kind: organization
  • Location: United Kingdom

GitHub Events

Total
  • Create event: 45
  • Commit comment event: 39
  • Issues event: 24
  • Watch event: 14
  • Delete event: 31
  • Issue comment event: 92
  • Push event: 106
  • Pull request event: 119
  • Fork event: 2
Last Year
  • Create event: 45
  • Commit comment event: 39
  • Issues event: 24
  • Watch event: 14
  • Delete event: 31
  • Issue comment event: 92
  • Push event: 106
  • Pull request event: 119
  • Fork event: 2

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 133
  • Total Committers: 1
  • Avg Commits per committer: 133.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 133
  • Committers: 1
  • Avg Commits per committer: 133.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Steve Day s****e@c****g 133
Committer Domains (Top 20 + Academic)
c-ai-c.org: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 10
  • Total pull requests: 40
  • Average time to close issues: 15 days
  • Average time to close pull requests: 6 days
  • Total issue authors: 2
  • Total pull request authors: 4
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.85
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 31
Past Year
  • Issues: 10
  • Pull requests: 40
  • Average time to close issues: 15 days
  • Average time to close pull requests: 6 days
  • Issue authors: 2
  • Pull request authors: 4
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.85
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 31
View more stats
Top Authors
Issue Authors
  • stevenday (15)
  • github-actions[bot] (1)
  • thisiswhereitype (1)
Pull Request Authors
  • dependabot[bot] (25)
  • stevenday (24)
  • github-actions[bot] (8)
  • Arjunmehta312 (1)
Top Labels
Issue Labels
install (1) bug (1) good first issue (1)
Pull Request Labels
dependencies (25) python:uv (25) install (8)

Dependencies

.github/workflows/branch_deployments.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • astral-sh/setup-uv v3 composite
  • aws-actions/configure-aws-credentials v4 composite
  • dagster-io/dagster-cloud-action/actions/build_deploy_python_executable v0.1 composite
  • dagster-io/dagster-cloud-action/actions/utils/prerun v0.1 composite
.github/workflows/deploy.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • astral-sh/setup-uv v3 composite
  • dagster-io/dagster-cloud-action/actions/build_deploy_python_executable v0.1 composite
  • dagster-io/dagster-cloud-action/actions/utils/prerun v0.1 composite
.github/workflows/lint.yml actions
  • actions/checkout v4 composite
  • astral-sh/ruff-action v1 composite
.github/workflows/test.yml actions
  • MishaKav/pytest-coverage-comment main composite
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • astral-sh/setup-uv v3 composite
pyproject.toml pypi
  • dagster >=1.8.8
  • dagster-cloud >=1.8.8
  • humanize >=4.11.0
  • pandas >=2.2.3
  • pyarrow >=17.0.0
  • requests >=2.32.3
  • s3fs >=2024.9.0
  • weave *
  • zlib-ng >=0.5.1