Source: https://seerepo.com/uses/ipywidgets
Markdown source: https://seerepo.com/uses/ipywidgets.md
Description: 10 public repos that SeeRepo read use ipywidgets. It's used most with pyarrow, React, and Postgres.

# Open source repos that use ipywidgets

10 public repos that SeeRepo read use ipywidgets. It's used most with pyarrow, React, and Postgres.

## Used most with

- pyarrow: 3 repos
- React: 3 repos
- Postgres: 2 repos
- matplotlib: 2 repos
- SQLAlchemy: 2 repos
- jinja2: 2 repos
- beautifulsoup4: 2 repos
- FastAPI: 2 repos

## The repos, by stars

1. [apache/superset](https://seerepo.com/r/apache/superset): Python · 75,409 stars · 9.2% signed by AI — Apache Superset is a Data Visualization and Data Exploration Platform
2. [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): Python · 52,820 stars · 0.2% signed by AI — LlamaIndex is the document processing platform for AI
3. [pandas-dev/pandas](https://seerepo.com/r/pandas-dev/pandas): Python · 50,368 stars · 4.2% signed by AI — Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
4. [ray-project/ray](https://seerepo.com/r/ray-project/ray): Python · 44,213 stars · 3.6% signed by AI — Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
5. [harvard-edge/cs249r_book](https://seerepo.com/r/harvard-edge/cs249r_book): Python · 30,011 stars · 2.7% signed by AI — Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
6. [mlflow/mlflow](https://seerepo.com/r/mlflow/mlflow): Python · 28,722 stars · 23.7% signed by AI — The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
7. [MemoriLabs/Memori](https://seerepo.com/r/MemoriLabs/Memori): Python · 17,448 stars · 2.5% signed by AI — Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
8. [jaakkopasanen/AutoEq](https://seerepo.com/r/jaakkopasanen/AutoEq): Python · 16,420 stars — Automatic headphone equalization from frequency responses
9. [Kanaries/pygwalker](https://seerepo.com/r/Kanaries/pygwalker): Python · 16,004 stars · 1.3% signed by AI — PyGWalker: Turn your dataframe into an interactive UI for visual analysis
10. [semantica-agi/semantica](https://seerepo.com/r/semantica-agi/semantica): Python · 14,477 stars · 10.1% signed by AI — Graph-Native Infrastructure for Context and Accountable AI Systems

## Frequently asked questions

### What is the most popular open source repo that uses ipywidgets?

apache/superset, with 75,409 stars on GitHub.

The proof: [apache/superset on GitHub](https://github.com/apache/superset)

### What other technologies is ipywidgets used with?

With pyarrow (3), React (3), Postgres (2), matplotlib (2), and SQLAlchemy (2), out of the 10 repos that use it.

### What languages are the repos that use ipywidgets written in?

Python (10).

### How many repos that use ipywidgets have commits signed by AI?

9 of the 10; the most, mlflow/mlflow, with 23.7% of its commits.

The proof: [the commits each tool signed in mlflow/mlflow](https://seerepo.com/r/mlflow/mlflow/ai)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.