dataelement/dsh-desktop
Rank not captured·Top 100·All-time stars·Cached ranking snapshot·
DSHDesktop：DeepSeek Harness Desktop / DeepSeek Harness 桌面版
First read
Promising movement, but the picture is still partial
dataelement/dsh-desktop is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.
Visible
5K public stars in the current GitStar snapshot.
Needs a narrower context read
Active
Last commit Sep 11, 2026.
Fresh activity
Adopted
Treat stars as discovery context until a linked package appears.
No linked package mapping
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 5K stars
- 258 forks
- Last commit Sep 11, 2026
- Package usage not mapped yet
Compare lens
pingcap/tidb and vanna-ai/vanna 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
+241
Weekly momentum
+885
Monthly momentum
Recent momentum is not captured
Last commit
Sep 11, 2026
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.
Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for dataelement/dsh-desktop, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
🛡️ 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 241 daily momentum and fresh update.
241 daily momentumFresh update
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 5K
Daily momentum
+241
Weekly momentum
+885
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars5K
🧭 Hype vs Reality
Insufficient Package DataGitStar 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.
Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other TypeScript repos before treating stars as a moat.
Related alternative
pingcap/tidb
Shares the data category footprint with dataelement/dsh-desktop, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
vanna-ai/vanna
Shares the data category footprint with dataelement/dsh-desktop, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
eosphoros-ai/DB-GPT
Shares the data category footprint with dataelement/dsh-desktop, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
microsoft/RD-Agent
Shares the data category footprint with dataelement/dsh-desktop, 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 tidb + vanna as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/dataelement/dsh-desktop)HTML
<a href="https://gitstar.space/repo/dataelement/dsh-desktop"><img src="https://gitstar.space/api/badge/dataelement/dsh-desktop" alt="GitStar"></a>Styles:
Wider nearby ecosystem
Go
40.5K starspingcap/tidb
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
Python
23.8K starsvanna-ai/vanna
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Python
19.9K starseosphoros-ai/DB-GPT
open-source agentic AI data assistant for the next generation of AI + Data products.
Python
14.6K starsmicrosoft/RD-Agent
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
TypeScript
47.6K starsprisma/orm
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
TypeScript
37.9K starsdirectus/directus
The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.
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 dataelement/dsh-desktop 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.
Want to show your project's ranking? Copy the badge embed code above and add it to your README.