Calendars for various securities exchanges.
First read
quantopian/trading_calendars is better read as a directional signal than a clean recommendation. Keep the snapshot conservative and validate source activity, package reality, and close alternatives before committing to it.
661 public stars in the current GitStar snapshot.
Needs a narrower context read
Last commit Jul 17, 2023.
Stale activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
Compare lens
amagine-ai/Amagine3D and Zeejay0/gathered-scenes-zine-skill are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Validation note
GitStar can summarize public signals for quantopian/trading_calendars, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repo is here because it still carries strong GitHub attention.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Shares the other category footprint with quantopian/trading_calendars, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the other category footprint with quantopian/trading_calendars, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the other category footprint with quantopian/trading_calendars, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the other category footprint with quantopian/trading_calendars, so the comparison is closer to a same-problem decision than a same-language coincidence.
GitStar picked Amagine3D + gathered-scenes-zine-skill as the closest next comparison from the related repository set.
[](https://gitstar.space/repo/quantopian/trading_calendars)<a href="https://gitstar.space/repo/quantopian/trading_calendars"><img src="https://gitstar.space/api/badge/quantopian/trading_calendars" alt="GitStar"></a>Amagine3D: From hardware requirements to editable 3D designs
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
ASD-STE100 Simplified Technical English rules, repurposed as a Claude Code skill for rewriting ambiguous agent-facing English.
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
This page provides a quick overview of quantopian/trading_calendars based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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