Source: https://seerepo.com/r/recommenders-team/recommenders/built
Markdown source: https://seerepo.com/r/recommenders-team/recommenders/built.md
Description: recommenders is a Python repo. It uses AI through scikit-learn, nltk, and transformers and uses pyarrow. It has 46,489 written lines, with 103 test files.

# What is recommenders built with?

recommenders is a Python repo. It uses AI through scikit-learn, nltk, and transformers and uses pyarrow. It has 46,489 written lines, with 103 test files.

Read on November 5, 2026, at commit c7fa55e.

Repository: https://github.com/recommenders-team/recommenders

## Frontend

### Interface

- **seaborn**: 3 files

## Backend

### Data

- **[pyarrow](https://seerepo.com/uses/pyarrow)**

### AI

- **[scikit-learn](https://seerepo.com/uses/scikit-learn)**: 6 files
- **nltk**: 2 files
- **[transformers](https://seerepo.com/uses/transformers)**: 1 file

## Support

### Tools

- **notebook**
- **Setuptools**
- **wheel**

### Other

- **NumPy**: 59 files
- **pandas**: 33 files
- **retrying**: 2 files

## Other repos with a similar stack

- [microsoft/unilm](https://seerepo.com/r/microsoft/unilm/built): pyarrow, scikit-learn, nltk, transformers · [Compare](https://seerepo.com/compare/microsoft/unilm/vs/recommenders-team/recommenders)
- [tensorflow/models](https://seerepo.com/r/tensorflow/models/built): seaborn, scikit-learn, nltk · [Compare](https://seerepo.com/compare/recommenders-team/recommenders/vs/tensorflow/models)
- [debpalash/VoiceStudio](https://seerepo.com/r/debpalash/VoiceStudio/built): pyarrow, transformers
- [datawhalechina/hello-agents](https://seerepo.com/r/datawhalechina/hello-agents/built): scikit-learn, transformers
- [unslothai/unsloth](https://seerepo.com/r/unslothai/unsloth/built): scikit-learn, transformers
- [rohitg00/ai-engineering-from-scratch](https://seerepo.com/r/rohitg00/ai-engineering-from-scratch/built): scikit-learn, transformers

## Frequently asked questions

### What language is recommenders written in?

recommenders is written in Python, with 46,489 written lines.

### Does recommenders use AI?

Yes. recommenders uses AI through scikit-learn, nltk, and transformers.

### What services does recommenders use?

recommenders uses pyarrow.

### Does recommenders have tests?

Yes. recommenders has 103 test files.

### Which repos have a stack like recommenders's?

The ones that share most of its stack: microsoft/unilm, tensorflow/models, and debpalash/VoiceStudio.

## 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.