PycURL – A Python Interface To The cURL library
PycURL is a Python interface to libcurl, the multiprotocol file transfer library. Similarly to the urllib Python module, PycURL can be used to fetch objects identified by a URL from a Python program. Beyond simple fetches however PycURL exposes most of the functionality of libcurl, including:
Speed - libcurl is very fast and PycURL, being a thin wrapper above libcurl, is very fast as well. PycURL was benchmarked to be several times faster than requests.
Features including multiple protocol support, SSL, authentication and proxy options. PycURL supports most of libcurl’s callbacks.
Context managers - Curl and CurlMulti support the with statement.
WebSockets - first-class ws:///wss:// support.
MIME / multipart forms - the pycurl.Mime and pycurl.MimePart wrappers around libcurl’s MIME API.
URL parsing - the pycurl.CurlUrl wrapper around libcurl’s URL API.
Sockets used for network operations, permitting integration of PycURL into the application’s I/O loop (e.g., using Tornado).
Built-in asyncio support via pycurl.AsyncCurlMulti, an asyncio wrapper around CurlMulti driven by libcurl’s multi-socket API.
Low-level socket I/O - direct byte-level control (e.g., with CONNECT_ONLY).
Requirements
Python 3.10-3.15.
libcurl 7.19.0 or better.
Installation
Download source and binary distributions from PyPI. Binary wheels are now available for 32 and 64 bit Windows versions.
Please see INSTALL.rst for installation instructions. If installing from a Git checkout, please follow instruction in the Git Checkout section of INSTALL.rst.
Documentation
Documentation for the most recent PycURL release is available on PycURL website.
Documentation for the development version of PycURL is available here.
To build documentation from source, run make docs. Building documentation requires Sphinx to be installed, as well as pycurl extension module built as docstrings are extracted from it. Built documentation is stored in build/doc subdirectory.
Support
For support questions please use curl-and-python mailing list. Mailing list archives are available for your perusal as well.
Although not an official support venue, Stack Overflow has been popular with some PycURL users.
Bugs can be reported via GitHub. Please use GitHub only for bug reports and direct questions to our mailing list instead.
Automated Tests
PycURL comes with an automated test suite. To run the tests, set up a virtual environment and invoke pytest:
python3 -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip python -m pip install -e . --group dev python -m pytest tests/
After modifying C sources under src/, rebuild the extension in place with:
python -m pip install -e .
Alternatively, the suite can be run via make:
make test
The suite depends on packages pytest and flask, as well as vsftpd.
Some tests use vsftpd configured to accept anonymous uploads. These tests are not run by default. As configured, vsftpd will allow reads and writes to anything the user running the tests has read and write access. To run vsftpd tests you must explicitly set PYCURL_VSFTPD_PATH variable like so:
# use vsftpd in PATH export PYCURL_VSFTPD_PATH=vsftpd # specify full path to vsftpd export PYCURL_VSFTPD_PATH=/usr/local/libexec/vsftpd
Test Matrix
The test matrix is a separate framework that runs tests on more esoteric configurations. It supports:
Testing against Python compiled without threads, which requires an out of process test server.
Testing against locally compiled libcurl with arbitrary options.
To use the test matrix, first start the test server by running:
python -m tests.appmanager
Then in a different shell, and preferably in a separate user account, run the test matrix:
# run ftp tests, etc. export PYCURL_VSFTPD_PATH=vsftpd # create a new work directory, preferably not under pycurl tree mkdir testmatrix cd testmatrix # run the matrix specifying absolute path python /path/to/pycurl/tests/matrix.py
The test matrix will download, build and install supported Python versions and supported libcurl versions, then run pycurl tests against each combination. To see what the combinations are, look in tests/matrix.py.
Contribute
For smaller changes:
Fork the repository on Github.
Create a branch off master.
Make your changes.
Write a test which shows that the bug was fixed or that the feature works as expected.
Send a pull request.
Check back after 10-15 minutes to see if tests passed on Travis CI. PycURL supports old Python and libcurl releases and their support is tested on Travis.
For larger changes:
Join the mailing list.
Discuss your proposal on the mailing list.
When consensus is reached, implement it as described above.
Please contribute binary distributions for your system to the downloads repository.
License
Copyright (C) 2001-2008 by Kjetil Jacobsen <kjetilja at gmail.com> Copyright (C) 2001-2008 by Markus F.X.J. Oberhumer <markus at oberhumer.com> Copyright (C) 2013-2022 by Oleg Pudeyev <code at olegp.name> All rights reserved. PycURL is dual licensed under the LGPL and an MIT/X derivative license based on the cURL license. A full copy of the LGPL license is included in the file COPYING-LGPL. A full copy of the MIT/X derivative license is included in the file COPYING-MIT. You can redistribute and/or modify PycURL according to the terms of either license.
Release files for pycurl 7.48.0
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Built distributions (wheels)
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