microsoft/markitdown
Rank #40·Top 100·All-time stars·Cached ranking snapshot·
Python tool for converting files and office documents to Markdown.
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
182.5K public stars in the current GitStar snapshot.
Long-term anchor
Active
Last commit Sep 10, 2026.
Fresh activity
Adopted
pypi gives the strongest production-style signal.
18.3M/week
Confidence
Both package adoption and momentum are available.
High-confidence read
Snapshot facts
- 182.5K stars
- 13.4K forks
- Last commit Sep 10, 2026
- pypi 18.3M/week
Compare lens
langchain-ai/langchain and NousResearch/hermes-agent 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
+427
Weekly momentum
+4.7K
Monthly momentum
+9.4K
Last commit
Sep 10, 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
18.3M 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 427 daily momentum and package adoption.
427 daily momentumPackage adoptionFresh updateHigh lifetime stars
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 182.5K
Daily momentum
+427
Weekly momentum
+4.7K
Monthly momentum
+9.4K
Signal mix (log-scaled for readability)
Current stars182.5K
30d star gain9.4K
Weekly package downloads18.3M
🧭 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 · 18.3M/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
langchain-ai/langchain
Overlaps on topics such as langchain and openai, which makes it a stronger alternative than a random popularity neighbor.
Related alternative
NousResearch/hermes-agent
Overlaps on topics such as openai, which makes it a stronger alternative than a random popularity neighbor.
Related alternative
Significant-Gravitas/AutoGPT
Overlaps on topics such as openai, which makes it a stronger alternative than a random popularity neighbor.
Related alternative
open-webui/open-webui
Overlaps on topics such as openai, which makes it a stronger alternative than a random popularity neighbor.
Research links
Cross-links
Compare against related repos
GitStar picked langchain + hermes-agent 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
146.1K starslangchain-ai/langchain
The agent engineering platform.
Python
244.2K starsNousResearch/hermes-agent
The agent that grows with you
Python
187.2K starsSignificant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Python
151.6K starsopen-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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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