electricitymaps/electricitymaps-contrib

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

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 17th, 2026
Created on May 21st, 2016
Open Issues & Pull Requests: 126 (+0)
GitHub issues: Enabled
Number of forks: 1,058
Total Stargazers: 4,034 (+0)
Total Subscribers: 74 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.5 hours
Mean response time: 88.5 days
90th percentile: 280.6 days
Tracked items: 438

Most active contributors

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How this project is maintained

Roughly one issue in four opened in the past year never receives a reply. 94% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "idea 💡" is answered fastest, typically in about 4 hours, while "capacity" waits about 3 weeks. Only 47% of issues opened in the past year have been closed. Three people close 82% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 69
New in 7 days: 1
Closed in 7 days: 1
Avg open age: 565 days
Stale 30+ days: 65
Stale 90+ days: 52

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • help wanted (139)
  • parser (107)
  • data (102)
  • Frontend 🎨 (87)
  • needs triage (79)
  • bug 🐞 (41)
  • good first issue (35)
  • idea 💡 (23)

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Detailed Description

Electricity Maps is a data collection and parsing framework that aggregates real-time electricity generation, consumption, and pricing information from power grids worldwide.

The project solves the problem of fragmented electricity data by building parsers that extract standardized information from diverse grid operators, utilities, and public data sources. Each parser connects to a specific region's data source—whether an API, web scraper, or file feed—and transforms raw grid data into a common format. This approach enables a unified platform that tracks electricity generation by source type, consumption patterns, and carbon intensity across different countries and regions.

The tool suits organizations and developers who need programmatic access to electricity grid data for climate analysis, sustainability reporting, or grid monitoring applications. It works best for projects requiring historical or real-time data from multiple regions, since the parser network covers numerous countries and territories. The framework is designed for contribution: developers can add new parsers for uncovered regions or improve existing ones by following the established parser patterns.

The project maintains active engagement with external contributors through structured parser development. The codebase receives regular updates to handle changes in data source formats and APIs. Parser implementations are tested against live data sources to ensure reliability. The project accepts contributions for new regional parsers and improvements to existing ones, with clear documentation for the parser development workflow.