@linkedin • Open source projects from linkedin. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
95%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
5 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (9), Java (8), Go (4)
Average size
256
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-07-02(55d ago)GitHub API fallback30 repositories
95%
of the visible star count comes from this organization's top three repositories.
256
stars per repository in this same snapshot.
Python
is the most common language here, with 5 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 86% of its visible star count.
Flagship share 86%Breakout repo: Liger-Kernel
Organization pages work best when you separate portfolio breadth from flagship concentration. In LinkedIn's case, the visible top three repositories account for about 95% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (9), Java (8), Go (4). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | linkedin/Liger-Kernel Efficient Triton Kernels for LLM Training | Python | 6.6K |
| 2 | linkedin/openhouse Open Control Plane for Tables in Data Lakehouse | Java | 396 |
| 3 | linkedin/dph-framework | HTML | 307 |
| 4 | linkedin/Hoptimator Multi-hop declarative data pipelines | Java | 128 |
| 5 | linkedin/fmchisel fmchisel: Efficient Compression and Training Algorithms for Foundation Models | Python | 90 |
| 6 | linkedin/Iris-message-processor Iris-message-processor is a fully distributed Go application meant to replace the sender functionality of Iris and provide reliable, scalable, and extensible incident and out of band message processing and sending. | Go | 28 |
| 7 | linkedin/ControlLLM Control LLM | Python | 23 |
| 8 | linkedin/diderot A fast and flexible implementation of the xDS protocol | Go | 23 |
| 9 | linkedin/QuantEase QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions without the need for matrix inversion or decomposition. | Python | 20 |
| 10 | linkedin/Li-Airflow-Backfill-Plugin Li-Airflow-Backfill-Plugin is a plugin to work with Apache Airflow to provide data backfill feature, ie. to rerun pipelines for a certain date range. | Python | 10 |
| 11 | linkedin/AlerTiger | Jupyter Notebook | 10 |
| 12 | linkedin/kubernetes-event-exporter Export Kubernetes events to multiple destinations with routing and filtering | Go | 9 |
| 13 | linkedin/ghc25-ds-workshop This repo is specifically for the Grace Hopper 2025 DS Workshop | Jupyter Notebook | 7 |
| 14 | linkedin/sigma-rules | 4 | |
| 15 | linkedin/sigma Main Sigma Rule Repository | Python | 4 |
| 16 | linkedin/helix Mirror of Apache Helix | Java | 4 |
| 17 | linkedin/go-zk Native ZooKeeper client for Go | Go | 4 |
| 18 | linkedin/talent-solutions-java-sdk Repo for talent-solutions-java-sdk project | Java | 3 |
| 19 | linkedin/ktls-jni | Java | 2 |
| 20 | linkedin/iceberg-python | Python | 1 |
| 21 | linkedin/li-aws-sdk-java-v2 The official AWS SDK for Java - Version 2 | Java | 1 |
| 22 | linkedin/abvelocity This is the repo for Project ABVelocity | Python | 1 |
| 23 | linkedin/dataguard-udfs | Java | 1 |
| 24 | linkedin/li-langchain 🦜🔗 Build context-aware reasoning applications | Python | 1 |
| 25 | linkedin/ignite-3 Apache Ignite 3 | Java | 0 |
| 26 | linkedin/test Apache Pinot - A realtime distributed OLAP datastore | 0 | |
| 27 | linkedin/robustInfer Repo for robustInfer | Jupyter Notebook | 0 |
| 28 | linkedin/prebid.js Setup and manage header bidding advertising partners without writing code or confusing line items. Prebid.js is open source and free. | JavaScript | 0 |
| 29 | linkedin/zkbridge Mirror of Apache Hadoop ZooKeeper | 0 | |
| 30 | linkedin/temporal Temporal service | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.