Smoke dataset
A fixture dataset that exercises the ingestion, validation and freshness machinery.
4 tracked
Directory
Live
74 fields
Moved since last reading
Nothing changed between the last two readings.
Stars from Wikipedia infobox. Movement is measured between two real observations; values that failed validation are withheld rather than shown.
No hiring column here. The job-board classifier extracts framework names, so the join can only speak about frameworks — for these entities we have not measured demand, rather than measured it to be zero.
| Select to compare | Machine | VRAM, GB | GB/s | TDP, W | MSRP | Class | Checked |
|---|---|---|---|---|---|---|---|
| Apple M2 UltraApple | 192 | 800 | 295 | not listed | soc | Current29d ago | |
| Apple M3 MaxApple | 128 | 400 | 78 | not listed | soc | Current29d ago | |
| Apple M4 ProApple | 64 | 273 | 46 | not listed | soc | Current29d ago |
Source: Wikipedia infobox. Every value carries the moment it was observed; figures that failed validation are withheld rather than shown. SLA: current within 720h, ageing to 2160h, stale beyond 4320h.
indexable · canonical /data/hardware?kind=soc
Also tracked
Same engine, same provenance rules — every figure carries the source that reported it and when.
A fixture dataset that exercises the ingestion, validation and freshness machinery.
4 tracked
Open-source frameworks for building, orchestrating and evaluating LLM agents, tracked across GitHub, npm and PyPI.
18 tracked
Language, embedding and speech models tracked across Hugging Face Hub download activity and OpenRouter context windows and pricing.
18 tracked