FastWARC (Python)
FastWARC is a high-performance WARC parsing library written in Rust with bindings for Python. FastWARC supports compressed and uncompressed WARC/1.0 and WARC/1.1 streams. Supported compression algorithms are Gzip, Zstd, and LZ4.
This package contains the Python bindings for FastWARC.
FastWARC belongs to the ChatNoir Resiliparse toolkit for fast and robust web data processing.
Installing FastWARC
Pre-built FastWARC binaries for Python can be installed from PyPi:
pip install fastwarc
Building Python Bindings From Source
To be able to build FastWARC, you need the Rust toolchain installed (see above). Then to build directly from the GitHub repository, follow these steps:
# Clone repository
git clone https://github.com/chatnoir-eu/chatnoir-resiliparse.git
cd chatnoir-resiliparse
# Install Rust toolchain (if not already installed)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
# Create a fresh venv first (recommended)
python3 -m venv venv && source venv/bin/activate
# Option 1: Build and install in editable mode (best for development)
python3 -m pip install -e ./fastwarc-py
# Option 2 (alternative): Build and install wheels in separate steps (best for redistribution)
python3 -m pip wheel -w build ./fastwarc-py
ls ./build/*.whl | xargs python3 -m pip install
Usage Instructions
For detailed usage instructions, please consult the FastWARC User Manual.
Cite Us
If you use FastWARC, please consider citing our OSSYM 2021 abstract paper:
@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
}
You can also cite our ECIR 2018 demo paper:
@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
}
1 maintainer
Release files for FastWARC 1.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastwarc-1.0.9.tar.gz | 72.2 kB | Details |
Built distributions (wheels)
Total release size: 85.6 MB
Release files / fastwarc-1.0.9.tar.gz
| Download URL | fastwarc-1.0.9.tar.gz |
|---|---|
| Size | 72.2 kB |
| Tags | Source |
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Release files / fastwarc-1.0.9-cp314-cp314t-win_amd64.whl
| Download URL | fastwarc-1.0.9-cp314-cp314t-win_amd64.whl |
|---|---|
| Size | 2.2 MB |
| Tags | CPython 3.14 CPython 3.14 free-threading Windows x86-64 |
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Release files / fastwarc-1.0.9-cp314-cp314t-manylinux_2_28_x86_64.whl
| Download URL | fastwarc-1.0.9-cp314-cp314t-manylinux_2_28_x86_64.whl |
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Release files / fastwarc-1.0.9-cp314-cp314t-macosx_12_0_x86_64.whl
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Release files / fastwarc-1.0.9-cp314-cp314-win_amd64.whl
| Download URL | fastwarc-1.0.9-cp314-cp314-win_amd64.whl |
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Release files / fastwarc-1.0.9-cp313-cp313-win_amd64.whl
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| Size | 2.0 MB |
| Tags | CPython 3.11 macOS 12.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
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Release files / fastwarc-1.0.9-cp310-cp310-win_amd64.whl
| Download URL | fastwarc-1.0.9-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 2.0 MB |
| Tags | CPython 3.10 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|
Release files / fastwarc-1.0.9-cp310-cp310-manylinux_2_28_x86_64.whl
| Download URL | fastwarc-1.0.9-cp310-cp310-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | CPython 3.10 Linux glibc 2.28+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|
Release files / fastwarc-1.0.9-cp310-cp310-manylinux_2_28_aarch64.whl
| Download URL | fastwarc-1.0.9-cp310-cp310-manylinux_2_28_aarch64.whl |
|---|---|
| Size | 4.0 MB |
| Tags | CPython 3.10 Linux glibc 2.28+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|
Release files / fastwarc-1.0.9-cp310-cp310-macosx_12_0_x86_64.whl
| Download URL | fastwarc-1.0.9-cp310-cp310-macosx_12_0_x86_64.whl |
|---|---|
| Size | 2.2 MB |
| Tags | CPython 3.10 macOS 12.0+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|
Release files / fastwarc-1.0.9-cp310-cp310-macosx_12_0_arm64.whl
| Download URL | fastwarc-1.0.9-cp310-cp310-macosx_12_0_arm64.whl |
|---|---|
| Size | 2.0 MB |
| Tags | CPython 3.10 macOS 12.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|
