Portfolio concentration
99%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
22 repos
Visible snapshot
10 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (9), TypeScript (4), HTML (3)
Average size
920
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
99%
of the visible star count comes from this organization's top three repositories.
920
stars per repository in this same snapshot.
Python
is the most common language here, with 10 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 59% of its visible star count.
Organization pages work best when you separate portfolio breadth from flagship concentration. In DataElem's case, the visible top three repositories account for about 99% 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), TypeScript (4), HTML (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | dataelement/bisheng BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more. | Python | 11.9K |
| 2 | dataelement/Clawith Your First AI Agents Company | Python | 4.1K |
| 3 | dataelement/dsh-desktop DSHDesktop:DeepSeek Harness Desktop / DeepSeek Harness 桌面版 | TypeScript | 4K |
| 4 | dataelement/bisheng-unstructured bisheng-unstructured library | Python | 57 |
| 5 | dataelement/AgentGuidanceLanguage A structured natural-language authoring method inspired by SOP, enabling experts to describe tasks "as if writing a procedure manual" while ensuring clarity, completeness, adaptability, and reusability through mandatory fields. | 40 | |
| 6 | dataelement/bisheng-rt bisheng model services backend | C++ | 36 |
| 7 | dataelement/bisheng-ft | Python | 12 |
| 8 | dataelement/ClawCore A core version of OpenClaw— an AI assistant with a soul. | TypeScript | 5 |
| 9 | dataelement/Teamfolio The skill that turns your teamwork with AI into a team portfolio | Python | 2 |
| 10 | dataelement/generate-team-archetypes Codex skill for generating evidence-grounded, encouraging team archetype cards from context and Agent sessions | HTML | 2 |
| 11 | dataelement/llama.cpp LLM inference in C/C++ | C++ | 2 |
| 12 | dataelement/Agentfolio The skill that turns your work with AI into proof of what you can do. | HTML | 1 |
| 13 | dataelement/OpenOntology Open-Source Palantir Ontology | 1 | |
| 14 | dataelement/coaligne-team-weather-report 读取团队上下文,生成电视天气栏目式 HTML 阶段报告,包含成员局部预报、团队卫星气象看板、七天预测与温馨提醒 | JavaScript | 0 |
| 15 | dataelement/generate-team-story-report Generate evidence-grounded, playful, shareable team story reports from shared context and Agent sessions | HTML | 0 |
| 16 | dataelement/bisheng-icon bisheng | TypeScript | 0 |
| 17 | dataelement/bisheng-openfga openfga support dm | Go | 0 |
| 18 | dataelement/TraderJim Auto trader project to invest for the benefit of Dataelem Inc. | Python | 0 |
| 19 | dataelement/bisheng-design-system BISHENG UI | TypeScript | 0 |
| 20 | dataelement/marker Convert PDF to markdown quickly with high accuracy | Python | 0 |
| 21 | dataelement/ultralytics Ultralytics YOLO11 🚀 | Python | 0 |
| 22 | dataelement/surya OCR, layout analysis, reading order, table recognition in 90+ languages | Python | 0 |
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.