# electricitymaps/electricitymaps-contrib

The open source repository for Electricity Maps data parsers that powers the world's most comprehensive electricity data platform

Repository: https://github.com/electricitymaps/electricitymaps-contrib
Canonical: https://ross.abutalabs.com/products/electricitymaps-contrib
Homepage: https://app.electricitymaps.com
Language: Python
License: AGPL-3.0
License Family: copyleft
Topics: sustainability, data-visualization, climate-change, hacktoberfest, app, electricity, electricity-consumption, electricity-prices, map, electricitymaps, electricitymap
Last push: 2026-08-26T20:41:29+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 69, longevity 100
- inputs: {"age_days": 3756, "days_push": 7, "days_rel": 127, "gap_med": 1.5, "n_releases_24m": 159}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4025, forks 1056 (observed 2026-08-28T04:08:32.584620+00:00)

## What it is
A community-maintained collection of Python parsers that collect and standardize electricity data (production, exchanges, prices) from official public sources worldwide. It powers the Electricity Maps platform, which visualizes real-time carbon intensity of electricity grids.

## Use cases
- collect electricity production and price data for a country
- get carbon intensity of the power grid
- standardize energy data from official sources
- build a carbon-aware application
- track electricity exchanges between regions
- contribute a parser for a new country's grid data

## When to choose
- you need open, transparent electricity grid data from official sources
- you want to compute or display grid carbon intensity
- you want to contribute parsers for new regions
- you need historical or real-time energy mix data for research

## When to avoid
- you need a commercial SLA or guaranteed data uptime (use the Electricity Maps API instead)
- you need non-electricity climate data
- you want a turnkey dashboard without running parsers yourself

## Facets
- artifact type: dataset
- maturity: active
- function: etl, parser, data-science, data-visualization
- domain: energy, analytics
- platform: python, cross-platform
- tags: electricity-grid, carbon-intensity, energy-data, parsers, open-data, climate, data-engineering

## Member repositories
- electricitymaps/electricitymaps-contrib (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:32.584620+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:23:54.139084+00:00, confidence not recorded.
  - readme: https://github.com/electricitymaps/electricitymaps-contrib (fetched 2026-08-28T04:08:32.584620+00:00, sha 613ea5138daf)
  - homepage: https://app.electricitymaps.com (fetched 2026-08-29T09:16:39.157811+00:00, sha cf57651be76c)
  - site_page: https://app.electricitymaps.com/docs (fetched 2026-08-29T09:16:39.160256+00:00, sha 4d0f7c438aad)
  - site_page: https://app.electricitymaps.com/docs/reference (fetched 2026-08-29T09:16:39.161976+00:00, sha ee429ed53d7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.