Need advice about which tool to choose?Ask the StackShare community!
Add tool
tensorflow vs scikit-learn: What are the differences?
tensorflow: TensorFlow is an open source machine learning framework for everyone. TensorFlow is an open source machine learning framework for everyone; scikit-learn: A set of python modules for machine learning and data mining. A set of python modules for machine learning and data mining.
tensorflow and scikit-learn can be primarily classified as "PyPI Packages" tools.
scikit-learn is an open source tool with 45.9K GitHub stars and 21.5K GitHub forks. Here's a link to scikit-learn's open source repository on GitHub.
scikit-learn Stats
- Dependent Packages Counts - 230
tensorflow Stats
- Dependent Packages Counts - 12
scikit-learn Vulnerabilities
- scikit-learn Denial of ServiceHigh
tensorflow Vulnerabilities
- NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlowCritical
- Integer truncation in Shard API usageCritical
- Arbitrary code execution due to YAML deserializationCritical
scikit-learn Release info
Latest version
1.4.2
BSD-3-Clause
tensorflow Release info
Latest version
2.9.1
Apache-2.0
- No public GitHub repository available -
What is scikit-learn?
A set of python modules for machine learning and data mining.
What is tensorflow?
TensorFlow is an open source machine learning framework for everyone.
Need advice about which tool to choose?Ask the StackShare community!
What companies use scikit-learn?
What companies use tensorflow?
What companies use scikit-learn?
What companies use tensorflow?
See which teams inside your own company are using scikit-learn or tensorflow.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What are some alternatives to scikit-learn and tensorflow?
requests
Python HTTP for Humans.
numpy
NumPy is the fundamental package for array computing with Python.
six
Python 2 and 3 compatibility utilities.
pytest
Pytest: simple powerful testing with Python.
pandas
Powerful data structures for data analysis, time series, and statistics.