Quaero
Question-driven analytics pipeline: raw datasets → analytical marts, semantic metrics, and dashboard-ready outputs
What XERJ indexed
Snapshot
The whole repository at commit a16c5843fe (2026-10-28). main is 12 commits ahead.
Selected work
“Dark is the default theme, with Light and System one click…”. 7 files, 485 lines in frontend.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
analyticsdata-engineeringdata-pipelinekpipandasparquetpythonsemantic-layer
Example questions
- How does Quaero implement analytics?
- What does frontend do in Quaero?
- Show the data-engineering code in Quaero.
Inside the indexed corpus
- 215 files, 1.8 MB in total, about 8.6 KB per file.
- The selected commit changed 7 of those files (3.3%).
- Languages by size: Python 51.3%, TypeScript 47.9%, PowerShell 0.4%, JavaScript 0.2%, HTML 0.1%.
- On GitHub since 2026-03-14, last push 2026-10-29, 94 commits on main.
- The pin is 12 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for matteocavo/Quaero on 2026-10-31, and the LICENSE file at commit a16c5843fe was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Matteo (@matteocavo) has 1 selected repository on the hub.
Using XERJ with Quaero
- Search an OpenAPI spec so an agent can find endpoints The hub files it under API design and specification.
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- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
The prompt
Paste it into your AI agent. It clones matteocavo/Quaero at the pinned commit and indexes it on your machine.
Search the GitHub repository matteocavo/Quaero with XERJ (https://hub.xerj.org/corpus/matteocavo--quaero). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/matteocavo/Quaero Quaero && git -C Quaero checkout a16c5843fe2e883ff1954d7b3e7853ba8bdebd6a 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Quaero --url http://127.0.0.1:9200 --prefix quaero --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
MatteoAPI design and specification corporaparquet-formatarrow-rsdelta-rsdet-Labs/detHebbian-Robotics/hflowGreatDataLabs/great-generator
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.