### What is it?

Wendelin is convergent platform for Big Data and Machine Learning and a variant of ERP5 with extensions for ndarrays, a core module managing RAM beyond physical limits and interfaces with libraries such as scikit-learn, jupyter, pandas, fluentD or embulk. Wendelin is hosted on SlapOS and uses NEO for data storage allowing to manage the data life cycle from ingestion to commercialisation. It is developed and maintained by Nexedi.

### What is included?

Included in this instance is:

- Famous scientific libraries, like: NumPy, Pandas and scikit-learn
- Integration with Jupyter frontend running the ERP5 kernel with access to the previously mentioned libraries to enable rapid prototyping and data analysis. Check your instance's parameters for the Jupyter url.
- Many modules and tools for big data processing: data acquisition unit, data aggregation unit, data analysis, data array, data ingestion, data license, data operation, data product, data release, data set, data stream, data supply and sensor modules.

### Developing Wendelin

If you want to customize Wendelin you should first check its tests

### Source code

- Wendelin
- wendelin.core (also in pypi) - Out-of-Core processing module
- fluentd Wendelin plugin
- fluentd Wendelin plugin (for binary files)
- fluentbit Wendelin plugin
- ebulk Wendelin plugin

### Documentation

To access the Wendelin official documentation click here.

### Wendelin data lake sharing platform

Nexedi SARL provides a data lake sharing platform which can be accessed click here.. The platform uses Wendelin's data lake module and is free to use.