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Data on Ethiopia’s 7th General Election.

19
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100% credibility
Found May 24, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Astro
AI Summary

Electionwatch.et is an independent, open-source civic project that publishes structured, accessible data about Ethiopia's 7th General Election. The project takes official materials published by Ethiopia's National Election Board—including candidate lists, polling station locations, and official debate broadcasts—and transforms them into searchable, browsable datasets. The website allows citizens to explore candidates by region, party, gender, and education; locate their polling stations on an interactive map; read analyzed debate transcripts with claims linked to video timestamps; and view consolidated party position files. Everything on the site traces back to official sources, making it a transparency tool for Ethiopian voters. The project explicitly states it is unofficial and not affiliated with the Ethiopian government or any political party.

How It Works

1
🔍 You hear about Ethiopia's election

You see a news article or social post about Ethiopia's 7th General Election and want to understand the candidates and parties.

2
🌐 You find electionwatch.et

You discover this independent civic website that publishes open data about the election, sourced from Ethiopia's National Election Board.

3
📋 You explore the datasets

You browse through the four main datasets: candidates, polling stations, debate broadcasts, and party positions.

4
You choose your path
👥
Browse candidates

Search through thousands of candidates by region, party, gender, or education level to find who represents your area.

🗳️
Find your polling station

View an interactive map to locate your assigned polling station and see what elections are held there.

📺
Watch debate analyses

Read question-by-question breakdowns of official debates, with each party's statements linked to video timestamps.

5
📊 You discover party positions

For parties that participated in debates, you can read consolidated position files showing their stances on different topics.

6
🔗 Every claim links back to its source

Everything on the site traces back to official sources—you can verify any statement by clicking through to the original video or document.

You understand the election

You leave the site informed about Ethiopia's candidates, polling places, and party positions, with confidence that the information comes from official sources.

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AI-Generated Review

What is electionwatch.et?

electionwatch.et is an independent open-data portal for Ethiopia's 7th General Election, publishing structured datasets on candidates, polling stations, party debates, and ballot symbols. The project downloads official PDFs from Ethiopia's National Election Board, parses them into JSON, and serves the data through an Astro website with interactive maps and searchable tables. It also analyzes official debate broadcasts using AI, extracting per-party policy positions with citations back to YouTube timestamps.

Why is it gaining traction?

The project fills a real gap: raw government PDFs are hard to navigate, but this makes the data searchable and visually explorable. The interactive map showing polling station locations, the candidate search with filtering by region, party, education level, and gender, and the debate analysis with clickable citations to video timestamps all deliver immediate value. The data pipeline is well-documented: you can run `pnpm install && pnpm dev` in the website directory to get the site running locally, and the Python scripts in each data pipeline can be executed independently to refresh the underlying JSON from NEBE's published PDFs.

Who should use this?

Journalists and researchers building stories around Ethiopia's election will find the candidate and polling station data immediately useful. Transparency advocates tracking party positions across debates can cite the AI-generated analyses with direct links to source timestamps. Developers building civic tech tools in similar contexts can study this as a reference architecture for converting PDF government data into clean, queryable APIs.

Verdict

With 19 stars and a 1.0% credibility score, this is a niche civic tool with limited community support and no visible test coverage. The code is functional and the data pipeline is thoughtfully structured, but the project lacks the polish of a production-ready package. Use it as a reference implementation for PDF parsing and election data pipelines, but do not depend on it for production systems without validating the underlying data yourself.

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