A collection of robust and fast processing tools for parsing and analyzing web archive data.

Overview

ChatNoir Resiliparse

Build Wheels Codecov Documentation Status

A collection of robust and fast processing tools for parsing and analyzing web archive data.

Resiliparse is part of the ChatNoir web analytics toolkit. If you use ChatNoir or any of its tools for a publication, you can make us happy by citing our ECIR 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},
  ids =                 {potthast:2018c,stein:2018c},
  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
}

Usage Instructions

For detailed information about the build process, dependencies, APIs, or usage instructions, please read the Resiliparse Documentation

Resiliparse Module Summary

The Resiliparse collection encompasses the following two modules at the moment:

1. Resiliparse

The Resiliparse main module with the following subcomponents:

Parsing Utilities

The Resiliparse Parsing Utilities are the largest submodule and provide an extensive (and growing) collection of efficient tools for dealing with encodings and raw protocol payloads, parsing HTML web pages, and preparing them for further processing by extracting structural or semantic information.

Main documentation: Resiliparse Parsing Utilities

Process Guards

The Resiliparse Process Guard module is a set of decorators and context managers for guarding a processing context to stay within pre-defined limits for execution time and memory usage. Process Guards help to ensure the (partially) successful completion of batch processing jobs in which individual tasks may time out or use abnormal amounts of memory, but in which the success of the whole job is not threatened by (a few) individual failures. A guarded processing context will be interrupted upon exceeding its resource limits so that the task can be skipped or rescheduled.

Main documentation: Resiliparse Process Guards

Itertools

Resiliparse Itertools are a collection of convenient and robust helper functions for iterating over data from unreliable sources using other tools from the Resiliparse toolkit.

Main documentation: Resiliparse Itertools

2. FastWARC

FastWARC is a high-performance WARC parsing library for Python written in C++/Cython. The API is inspired in large parts by WARCIO, but does not aim at being a drop-in replacement. FastWARC supports compressed and uncompressed WARC/1.0 and WARC/1.1 streams. Supported compression algorithms are GZip and LZ4.

Main documentation: FastWARC and FastWARC CLI

Installation

The main Resiliparse package can be installed from PyPi as follows:

pip install resiliparse

FastWARC is being distributed as its own package and can be installed like so:

pip install fastwarc

For optimal performance, however, it is recommended to build FastWARC from sources instead of relying on the pre-built binaries. See below for more information.

Building From Source

To build Resiliparse or FastWARC from sources, you need to install all required build-time dependencies first. On Ubuntu, this is done as follows:

# Add Lexbor repository
curl -L https://lexbor.com/keys/lexbor_signing.key | sudo apt-key add -
echo "deb https://packages.lexbor.com/ubuntu/ $(lsb_release -sc) liblexbor" | \
    sudo tee /etc/apt/sources.list.d/lexbor.list

# Install build dependencies
sudo apt update
sudo apt install build-essential python3-dev zlib1g-dev \
    liblz4-dev libuchardet-dev liblexbor-dev

Then, to build the actual packages, run:

# Optional: Create a fresh venv first
python3 -m venv venv && source venv/bin/activate

# Build and install Resiliparse
pip install -e resiliparse

# Build and install FastWARC
pip install -e fastwarc

Instead of building the packages from this repository, you can also build them from the PyPi source packages:

# Build Resiliparse from PyPi
pip install --no-binary resiliparse resiliparse

# Build FastWARC from PyPi
pip install --no-binary fastwarc fastwarc
Owner
ChatNoir
ChatNoir Research Web Search Engine
ChatNoir
Template for a Dataflow Flex Template in Python

Dataflow Flex Template in Python This repository contains a template for a Dataflow Flex Template written in Python that can easily be used to build D

STOIX 5 Apr 28, 2022
BAyesian Model-Building Interface (Bambi) in Python.

Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to

861 Dec 29, 2022
Modular analysis tools for neurophysiology data

Neuroanalysis Modular and interactive tools for analysis of neurophysiology data, with emphasis on patch-clamp electrophysiology. Functions for runnin

Allen Institute 5 Dec 22, 2021
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.

2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou

Souradeep Banerjee 5 Oct 10, 2022
This cosmetics generator allows you to generate the new Fortnite cosmetics, Search pak and search cosmetics!

COSMETICS GENERATOR This cosmetics generator allows you to generate the new Fortnite cosmetics, Search pak and search cosmetics! Remember to put the l

ᴅᴊʟᴏʀ3xᴢᴏ 11 Dec 13, 2022
This python script allows you to manipulate the audience data from Sl.ido surveys

Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat

Pranav Menon 1 Jan 24, 2022
This module is used to create Convolutional AutoEncoders for Variational Data Assimilation

VarDACAE This module is used to create Convolutional AutoEncoders for Variational Data Assimilation. A user can define, create and train an AE for Dat

Julian Mack 23 Dec 16, 2022
Zipline, a Pythonic Algorithmic Trading Library

Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte

Quantopian, Inc. 15.7k Jan 07, 2023
An extension to pandas dataframes describe function.

pandas_summary An extension to pandas dataframes describe function. The module contains DataFrameSummary object that extend describe() with: propertie

Mourad 450 Dec 30, 2022
Python tools for querying and manipulating BIDS datasets.

PyBIDS is a Python library to centralize interactions with datasets conforming BIDS (Brain Imaging Data Structure) format.

Brain Imaging Data Structure 180 Dec 18, 2022
Working Time Statistics of working hours and working conditions by industry and company

Working Time Statistics of working hours and working conditions by industry and company

Feng Ruohang 88 Nov 04, 2022
Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks

The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge S

1 Jan 09, 2022
Catalogue data - A Python Scripts to prepare catalogue data

catalogue_data Scripts to prepare catalogue data. Setup Clone this repo. Install

BigScience Workshop 3 Mar 03, 2022
PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams

PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams Motivation When dataset freshness is critical, the annotating of high speed

4 Aug 02, 2022
Analysiscsv.py for extracting analysis and exporting as CSV

wcc_analysis Lichess page documentation: https://lichess.org/page/world-championships Each WCC has a study, studies are fetched using: https://lichess

32 Apr 25, 2022
A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.

databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of

dataroots 86 Dec 25, 2022
ASTR 302: Python for Astronomy (Winter '22)

ASTR 302, Winter 2022, University of Washington: Python for Astronomy Mario Jurić Location When: 2:30-3:50, Monday & Wednesday, Winter quarter 2022 Wh

UW ASTR 302: Python for Astronomy 4 Jan 12, 2022
Average time per match by division

HW_02 Unzip matches.rar to access .json files for matches. Get an API key to access their data at: https://developer.riotgames.com/ Average time per m

11 Jan 07, 2022
Pipeline and Dataset helpers for complex algorithm evaluation.

tpcp - Tiny Pipelines for Complex Problems A generic way to build object-oriented datasets and algorithm pipelines and tools to evaluate them pip inst

Machine Learning and Data Analytics Lab FAU 3 Dec 07, 2022
Handle, manipulate, and convert data with units in Python

unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return

The yt project 304 Jan 02, 2023