Portfolio concentration
100%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
6 repos
Visible snapshot
0 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (3), JavaScript (1), Rust (1)
Average size
4.1K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
100%
of the visible star count comes from this organization's top three repositories.
4.1K
stars per repository in this same snapshot.
Python
is the most common language here, with 0 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 97% of its visible star count.
Organization pages work best when you separate portfolio breadth from flagship concentration. In PandasAI's case, the visible top three repositories account for about 100% 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 (3), JavaScript (1), Rust (1). 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 | sinaptik-ai/pandas-ai Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. | Python | 23.8K |
| 2 | sinaptik-ai/panda-agi PandaAGI provides a simple, intuitive API for building general AI agents in just a few lines of code | Python | 324 |
| 3 | sinaptik-ai/panda-etl No-code ETL and data pipelines with AI and NLP | JavaScript | 316 |
| 4 | sinaptik-ai/starpod Open-source AI agent runtime built in Rust. Define once, deploy isolated instances per tenant with built-in memory, encrypted vault, self-extending skills, cron, and multi-channel support. | Rust | 78 |
| 5 | sinaptik-ai/pixelprompt Compress LLM context by rendering text as optimized images | Python | 9 |
| 6 | sinaptik-ai/homebrew-tap | Ruby | 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.