We maintain a software technology taxonomy for our own work and have now published it for others to reuse.
The current release contains 1,467 technologies, 117 categories, 16 domains, and 1,265 parent relationships. Records include stable IDs, names and, where available, aliases, descriptions, official links and sources.
Some practical uses:
- Indexing job ads: normalize technology mentions into consistent IDs for search, filtering and hiring-demand analysis.
- Organizing CVs: map technology names and spelling variants to the same vocabulary used in job requirements, while retaining the original context.
- Analyzing technology usage: group observations from documentation, software inventories, or other datasets by technology and category.
- Entity linking and agent workflows: resolve extracted technology names against a shared reference instead of maintaining another disconnected list.
The release includes full JSON exports, four JSONL tables, schema documentation, checksums, and Python examples. It’s available under CC-BY-SA-4.0.
We also publish a Top 100 technology ranking based on observed job-ad demand across Finland, Sweden, Germany, and the UK, covering January 2026 onward. It measures mentions in job ads, not installed software or market share. The live ranking is separate from the downloadable taxonomy.
Coverage is still not perfect, particularly aliases and optional details, but we are actively working on getting it as complete as possible. Help is appreciated!
Ambiguous names are marked separately to make it easier to build a heuristic parser. Our own uses logic where ambiguous names (or common words) need to be in close proximity to some other technology names.
Hugging Face dataset · Original GitHub release · Browse the catalog and API
If you work with technology names across datasets, I’d appreciate feedback on missing aliases, confusing classifications, or anything that makes this difficult to reuse. You can also submit missing technologies directly via the site. Inclusion in the taxonomy requires at least two independent mentions from job market data from within 2026.
submitted by /u/lionmeetsviking
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