Aleph
Tool for indexing large amounts of both documents (PDF, Word, HTML) and structured (CSV, XLS, SQL) data for easy browsing and search. It is built with investigative reporting as a primary use case.
Little to no recent activity. Treat as unmaintained until proven otherwise.
Commit activity more than 7% of tracked projects; popularity more than 53%. How this is calculated.
Commits, last 11 months
| Stars | 2.4k |
|---|---|
| Latest release | 4.1.7 · 27 Oct 2025 |
| Repo updated | 19 Dec 2025 |
| Licence | MIT |
| Built with | Docker, K8S |
Is Aleph actively maintained?
Aleph logged 13 commits over the last 11 months, but none in the most recent quarter. Development has paused rather than stopped outright — worth watching before a production deployment.
The most recent tagged release, 4.1.7, is about 11 months old.
Aleph ranks #15 of 16 tracked search engines projects. Several better-maintained options exist in the same category — they are listed below.
What Aleph actually does
Aleph is an investigative data platform that indexes unstructured documents like PDFs and Word files alongside structured data such as spreadsheets and SQL databases. It provides a centralised interface for searching and browsing through diverse datasets.
Best fit: It suits newsrooms, researchers, and investigative teams who need to organise and search through large, heterogeneous archives of leaked or collected records.
Worth knowing: The project shows low activity relative to its age, which might introduce maintenance risks for long-term deployments.
Deployment notes
Because it relies on container orchestration via Docker and Kubernetes, you will typically need persistent storage volumes for indexed data and a separate reverse proxy to handle TLS termination.
Alternatives to Aleph
Projects in the same categories, ordered by health score.
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Distributed, RESTful search and analytics engine.
Ultra relevant, instant and typo-tolerant full-text search API.
Distributed and RESTful search engine.
Full-text search and data analytics, with fast response time for small, medium and big data (alternative to Elasticsearch).
Knowledge graph database with documents (similar to Notion), tables, search, and a powerful linked data API. Lightweight, very fast and no runtime dependencies.