# ChatNoir Resiliparse
**WORK IN PROGRESS!** This crate is not production-ready yet. It is only here to reserve the name already.
Please use the Python version for now.
A collection of robust and fast processing tools for parsing and analyzing (not only) web archive data.
Resiliparse is a part of the [ChatNoir web analytics toolkit](https://github.com/chatnoir-eu/).
## Usage Instructions
For detailed usage instructions, please consult
the [Resiliparse User Manual](https://resiliparse.chatnoir.eu/en/latest/).
## Cite Us
If you use ChatNoir or Resiliparse, please consider citing
our [ECIR 2018 demo paper](https://webis.de/downloads/publications/papers/bevendorff_2018.pdf):
```bibtex
@InProceedings{bevendorff:2018,
address = {Berlin Heidelberg New York},
author = {Janek Bevendorff and Benno Stein and Matthias Hagen and Martin Potthast},
booktitle = {Advances in Information Retrieval. 40th European Conference on IR Research (ECIR 2018)},
editor = {Leif Azzopardi and Allan Hanbury and Gabriella Pasi and Benjamin Piwowarski},
month = mar,
publisher = {Springer},
series = {Lecture Notes in Computer Science},
site = {Grenoble, France},
title = {{Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl}},
year = 2018
}
```
If you use FastWARC, you can also cite our [OSSYM 2021 abstract paper](https://arxiv.org/abs/2112.03103):
```bibtex
@InProceedings{bevendorff:2021,
author = {Janek Bevendorff and Martin Potthast and Benno Stein},
booktitle = {3rd International Symposium on Open Search Technology (OSSYM 2021)},
editor = {Andreas Wagner and Christian Guetl and Michael Granitzer and Stefan Voigt},
month = oct,
publisher = {International Open Search Symposium},
site = {CERN, Geneva, Switzerland},
title = {{FastWARC: Optimizing Large-Scale Web Archive Analytics}},
year = 2021
}
```