Based on project statistics from the GitHub repository for the
PyPI package cryptodatapy-pandas-datareader, we found that it has been
starred 3,129 times.
Security
No known security issues
0.10.1.post1
(Latest)
Security and license risk for latest version
Release Date
Aug 3, 2025
Direct Vulnerabilities
0
C
0
H
0
M
0
L
Indirect Vulnerabilities
0
C
0
H
0
M
0
L
License Risk
0
H
0
M
0
L
All security vulnerabilities belong to
production dependencies of direct and indirect
packages.
License
=======
License
=======
pandas is distributed under a 3-clause ("Simplified" or "New") BSD
license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
BSD-compatible licenses, are included. Their licenses follow the pandas
license.
pandas license
==============
Copyright (c) 2011-2012, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.
Copyright (c) 2008-2011 AQR Capital Management, LLC
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided
with the distribution.
* Neither the name of the copyright holder nor the names of any
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
About the Copyright Holders
===========================
AQR Capital Management began pandas development in 2008. Development was
led by Wes McKinney. AQR released the source under this license in 2009.
Wes is now an employee of Lambda Foundry, and remains the pandas project
lead.
The PyData Development Team is the collection of developers of the PyData
project. This includes all of the PyData sub-projects, including pandas. The
core team that coordinates development on GitHub can be found here:
http://github.com/pydata.
Full credits for pandas contributors can be found in the documentation.
Our Copyright Policy
====================
PyData uses a shared copyright model. Each contributor maintains copyright
over their contributions to PyData. However, it is important to note that
these contributions are typically only changes to the repositories. Thus,
the PyData source code, in its entirety, is not the copyright of any single
person or institution. Instead, it is the collective copyright of the
entire PyData Development Team. If individual contributors want to maintain
a record of what changes/contributions they have specific copyright on,
they should indicate their copyright in the commit message of the change
when they commit the change to one of the PyData repositories.
With this in mind, the following banner should be used in any source code
file to indicate the copyright and license terms:
#-----------------------------------------------------------------------------
# Copyright (c) 2012, PyData Development Team
# All rights reserved.
#
# Distributed under the terms of the BSD Simplified License.
#
# The full license is in the LICENSE file, distributed with this software.
#-----------------------------------------------------------------------------
Other licenses can be found in the LICENSES directory.
Security Policy
No
We found a way for you to contribute to the project! Looks like
cryptodatapy-pandas-datareader is missing a security policy.
Further analysis of the maintenance status of cryptodatapy-pandas-datareader based on
released PyPI versions cadence, the repository activity,
and other data points determined that its maintenance is
Sustainable.
We found that cryptodatapy-pandas-datareader demonstrates a positive version release cadence
with at least one new version released in the past 12 months.
As a healthy sign for on-going project maintenance, we found that the
GitHub repository had at least 1 pull request or issue interacted with
by the community.
Community
Sustainable
Readme
Yes
Contributing.md
No
Code of Conduct
No
Contributors
90
Funding
No
With more than 10 contributors for the cryptodatapy-pandas-datareader repository, this is
possibly a sign for a growing and inviting community.
We found a way for you to contribute to the project! Looks like
cryptodatapy-pandas-datareader is missing a Code of Conduct.
