linkedin/openhouse
Rank not captured·Top 100·All-time stars·Cached ranking snapshot·
Open Control Plane for Tables in Data Lakehouse
First read
Promising movement, but the picture is still partial
linkedin/openhouse 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
396 public stars in the current GitStar snapshot.
Needs a narrower context read
Active
Last commit Aug 26, 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
- 396 stars
- 80 forks
- Last commit Aug 26, 2026
- Package usage not mapped yet
Compare lens
ClickHouse/ClickHouse and donnemartin/data-science-ipython-notebooks 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
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Aug 26, 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.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
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 linkedin/openhouse, 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 fresh update.
Fresh update
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 396
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars396
🧭 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 Java repos before treating stars as a moat.
Related alternative
ClickHouse/ClickHouse
Shares the data category footprint with linkedin/openhouse, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
donnemartin/data-science-ipython-notebooks
Shares the data category footprint with linkedin/openhouse, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
sinaptik-ai/pandas-ai
Shares the data category footprint with linkedin/openhouse, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
amark/gun
Shares the data category footprint with linkedin/openhouse, 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 ClickHouse + data-science-ipython-notebooks as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/linkedin/openhouse)HTML
<a href="https://gitstar.space/repo/linkedin/openhouse"><img src="https://gitstar.space/api/badge/linkedin/openhouse" alt="GitStar"></a>Styles:
Wider nearby ecosystem
C++
49.3K starsClickHouse/ClickHouse
ClickHouse® is a real-time analytics database management system
Python
29.3K starsdonnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Python
23.7K starssinaptik-ai/pandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
JavaScript
19.1K starsamark/gun
An open source cybersecurity protocol for syncing decentralized graph data.
Java
129.4K starskrahets/hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
Java
51.4K starsdbeaver/dbeaver
Free universal database tool and SQL client
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 linkedin/openhouse 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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