Tokens
Track, visualize, and compete on AI coding assistant token usage across Claude Code, Cursor, OpenCode, Codex, Gemini, Kimi, and Qwen. The Kardashev Scale for AI Devs.
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证制作者的介绍仅有上面的一句话。 更多详情请阅读仓库 README。 仓库 README ↗
正在加载完整 README。
查看完整 README ↗A static, browsable catalog of exoplanets (and brown-dwarf / free-floating planet candidates) discovered through KMTNet (Korea Microlensing Telescope Network) microlensing surveys — styled after the NASA Exoplanet Archive.
Open index.html in a browser (or serve the folder with any static file
server) — no build step required.
data/kmtnet_planets.json — the merged dataset the site reads (via
assets/data/planets.js, a JS-wrapped copy for file://-friendly
loading without CORS issues).scripts/parse_numbers.py — rebuilds the base catalog (name, ADS
publication link, title, publication year, Planet/BD/FFP classification)
from the source .numbers spreadsheet.scripts/merge_nasa.py — merges physical parameters (mass,
semi-major axis, host-star mass, distance, RA/Dec, discovery
telescope/facility, release date) from a NASA Exoplanet Archive CSV
export (PSCompPars table, filtered to discoverymethod = Microlensing)
by matching planet name.scripts/merge_exoplaneteu.py — tops up whatever fields are still
blank after the NASA merge from an
exoplanet.eu catalog export (all
detection_type = Microlensing rows), matching by name and alternate
names. Never overwrites a value the NASA merge already filled in.scripts/build_site_data.py — regenerates assets/data/planets.js
from data/kmtnet_planets.json after any of the above.pip install numbers-parser
python scripts/parse_numbers.py path/to/source.numbers
python scripts/merge_nasa.py data/raw/nasa_pscomppars.csv
python scripts/merge_exoplaneteu.py data/raw/exoplanet_eu_catalog.csv
python scripts/build_site_data.py
Entries not yet matched to either source show TBD for physical
parameters rather than being hidden.
parse_numbers.py separates the
meaningful classification text from bookkeeping noise.