microsoft/markitdown
Rank #35·Top 100·All-time stars·Cached ranking snapshot·
Python tool for converting files and office documents to Markdown.
Stars
192.4K
Forks
14.4K
Daily momentum
+203
Weekly momentum
+1.3K
30-day momentum
+5.2K
First read
Strong enough to justify a deeper source review
microsoft/markitdown looks visible enough to matter, active enough to trust for a next pass, and adopted enough to merit checking maintainers, releases, and real integration cost in the source repository.
Visible
192.4K public stars in the current GitStar snapshot.
Long-term anchor
Active
Last commit Oct 23, 2026.
Fresh activity
Adopted
pypi gives the strongest production-style signal.
19.2M/week
Confidence
Both package adoption and momentum are available.
High-confidence read
Snapshot facts
- 192.4K stars
- 14.4K forks
- Last commit Oct 23, 2026
- pypi 19.2M/week
Compare lens
NousResearch/hermes-agent and microsoft/generative-ai-for-beginners are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
+203
Weekly momentum
+1.3K
Monthly momentum
+5.2K
Last commit
Oct 23, 2026
Package reality
GitStar found pypi:langchain. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.
Hype vs Reality
Balanced
Package mapping
pypi · langchain
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for microsoft/markitdown, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
Package signal
Install & Package Signals
GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.
Balanced
Recent attention and package usage are moving in the same direction.
PyPI package
langchain
19.2M downloads/week
pip install langchain
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines 203 daily momentum and package adoption.
203 daily momentumPackage adoptionFresh updateHigh lifetime stars
Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 192.4K
Daily momentum
+203
Weekly momentum
+1.3K
Monthly momentum
+5.2K
Signal mix
Current stars192.4K
30d star gain5.2K
Weekly package downloads19.2M
Bar lengths use a log scale so stars and package downloads stay comparable.
Hype vs Reality
BalancedRecent attention and package usage are moving in the same direction.
This usually means the project has both mindshare and a measurable production footprint, which makes it a stronger validation candidate.
Status
Balanced
Package footprint
PyPI · 19.2M/week
Method note
Balanced means GitStar sees both meaningful package adoption and enough current star velocity or scale to avoid reading the repo as purely niche. Compare it against other Python repos before treating stars as a moat.
Related alternative
NousResearch/hermes-agent
Shares the other category footprint with microsoft/markitdown, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
microsoft/generative-ai-for-beginners
Shares the other category footprint with microsoft/markitdown, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
justjavac/free-programming-books-zh_CN
Shares the other category footprint with microsoft/markitdown, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
donnemartin/system-design-primer
Shares the other category footprint with microsoft/markitdown, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked hermes-agent + generative-ai-for-beginners as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/microsoft/markitdown)HTML
<a href="https://gitstar.space/repo/microsoft/markitdown"><img src="https://gitstar.space/api/badge/microsoft/markitdown" alt="GitStar"></a>Styles:
Wider nearby ecosystem
Python
257.4KNousResearch/hermes-agent
The agent that grows with you
Jupyter Notebook
122.2Kmicrosoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
Unknown
119.4Kjustjavac/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
Python
375.7Kdonnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Python
202.6Kyt-dlp/yt-dlp
A feature-rich command-line audio/video downloader
Python
186.3KCyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of microsoft/markitdown 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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