94 best open source python2 projects.

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Displaying 1 to 20 from 94 results

jedi - Awesome autocompletion and static analysis library for python.

Python

If you have specific questions, please add an issue or ask on Stack Overflow with the label python-jedi. Jedi is a static analysis tool for Python that can be used in IDEs/editors. Its historic focus is autocompletion, but does static analysis for now as well. Jedi is fast and is very well tested. It understands Python on a deeper level than all other static analysis frameworks for Python.

static-analysis auto-complete python3 python2

HTTPretty - HTTP client mocking tool for Python, it's like ruby's FakeWeb for python

Python

Due to big API incompatibility between python 3.3, 3.4 and 3.5, the author of HTTPretty is not supporting python3 officially. You will notice that the travis build for python 3 might be broken, and while pull requests fixing py3 support are most welcome, it is still not official at least for now. Since you are interested in HTTPretty you should also be interested in speeding up your build. Replace pip with curdling and see your build running a lot faster.

http http-mock http-mocking mock fakeweb dynamic-responses httpretty python2 python-2 streaming-response decorators testing testing-tools tdd tdd-utilities

uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container

Shell

Docker image with uWSGI and Nginx for Flask web applications in Python 3.6, Python 3.5 and Python 2.7 running in a single container. Optionally using Alpine Linux. This Docker image allows you to create Flask web applications in Python that run with uWSGI and Nginx in a single container.

uwsgi-nginx flask-application docker-image python-flask docker-container flask dockerfile uwsgi nginx nginx-server python-3 python3 python-2 python2 flask-image web alpine webapp debian

markdown - A Python implementation of John Gruber’s Markdown with Extension support.

Python

This is a Python implementation of John Gruber's Markdown. It is almost completely compliant with the reference implementation, though there are a few known issues. See Features for information on what exactly is supported and what is not. Additional features are supported by the Available Extensions. Installation and usage documentation is available in the docs/ directory of the distribution and on the project website at https://Python-Markdown.github.io/.

python-markdown markdown markdown-parser markdown-to-html python2 python3

labelImg - :metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

Python

LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface.

python2 python3 annotations tools imagenet deep-learning detection recognition image-classification

binarytree - Python Library for Studying Binary Trees

Python

Binarytree is a Python library which provides a simple API to generate, visualize, inspect and manipulate binary trees. It allows you to skip the tedious work of setting up test data, and dive straight into practising your algorithms. Heaps and BSTs (binary search trees) are also supported. You may need to use sudo depending on your environment.

python3 python2 python-3 python-2 python-library binary-trees binary-tree interview-practice interview learning practise python-3-5 algorithm data-structures data-structure heap heaps bst binary-search-tree

scapy - Scapy: the Python-based interactive packet manipulation program & library

Python

Scapy is a powerful Python-based interactive packet manipulation program and library. It is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, store or read them using pcap files, match requests and replies, and much more. It is designed to allow fast packet prototyping by using default values that work.

scapy python-modules network network-analysis network-visualization network-discovery python2 python3 python-2 python-3 pcap packet-capture packet-sniffer packet-analyser packet-analyzer packet-crafting security security-tools network-security

Box - Python dictionaries with advanced dot notation access

Python

Python dictionaries with advanced dot notation access. If you want to be able to use the to_yaml functionality make sure to install PyYAML or ruamel.yaml as well.

dictionaries bunch python-types python3 python2 object helper python-library pypi box python-box addict

NiftyNet - An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Python

NiftyNet is a consortium of research organisations (BMEIS -- School of Biomedical Engineering and Imaging Sciences, King's College London; WEISS -- Wellcome EPSRC Centre for Interventional and Surgical Sciences, UCL; CMIC -- Centre for Medical Image Computing, UCL; HIG -- High-dimensional Imaging Group, UCL), where BMEIS acts as the consortium lead. NiftyNet is not intended for clinical use.

tensorflow distributed ml neural-network python2 python3 pip deep-neural-networks deep-learning convolutional-neural-networks medical-imaging medical-image-computing medical-image-processing medical-images segmentation gan autoencoder medical-image-analysis image-guided-therapy

Flask-Blogging - A Markdown Based Python Blog Engine as a Flask Extension.

Python

This is a Flask extension for adding blog support to your site using Markdown. Please see Flask-Blogging documentation for more details. You can extend Flask-Blogging by using plugins from here. Check out the Serverless Blog demo running on AWS Lambda.

flask blog-engine flask-extensions python2 python3 webframework

kq - Kafka-based Job Queue for Python

Python

KQ (Kafka Queue) is a lightweight Python library which lets you queue and execute jobs asynchronously using Apache Kafka. It uses kafka-python under the hood. You may need to use sudo depending on your environment.

kafka job-queue async kafka-client kafka-consumer kafka-producer python3 python2 python-library python-3 python-2 asynchronous queueing jobqueue apache-kafka worker-queue producer-consumer serialization python-3-5

Pyod - A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

Python

Important Notes: PyOD contains some neural network based models, e.g., AutoEncoders, which are implemented in keras. However, PyOD would NOT install keras and tensorflow automatically. This would reduce the risk of damaging your local installations. You are responsible for installing keras and tensorflow if you want to use neural net based models. An instruction is provided here. Anomaly detection resources, e.g., courses, books, papers and videos.

outlier-detection anomaly-detection outlier-ensembles outliers anomaly machine-learning data-mining unsupervised-learning python2 python3 fraud-detection autoencoder neural-networks deep-learning

pyparsing

Python

The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code. The Python representation of the grammar is quite readable, owing to the self-explanatory class names, and the use of '+', '|' and '^' operator definitions.

python2 python3 python-2 python-3 parser-combinators parsing-expression-grammar parsing parsing-library text-processing

billiard - Multiprocessing Pool Extensions

Python

billiard is a fork of the Python 2.7 multiprocessing package. The multiprocessing package itself is a renamed and updated version of R Oudkerk's pyprocessing package. This standalone variant draws its fixes/improvements from python-trunk and provides additional bug fixes and improvements. Please report bugs related to multiprocessing at the Python bug tracker. Issues related to billiard should be reported at http://github.com/celery/billiard/issues.

multiprocessing python3 python-3 python2 python-2 python-library

django-celery-beat - Celery Periodic Tasks backed by the Django ORM

Python

This extension enables you to store the periodic task schedule in the database. The periodic tasks can be managed from the Django Admin interface, where you can create, edit and delete periodic tasks and how often they should run.

celery celery-task django celerybeat python2 python-2 python-library python-3 python3 python-libary

dtags - Directory Tags for Lazy Programmers

Python

All commands come with tab-completion.

directories tagging bash zsh shell productivity parallel-processing management git directory fish-shell fish python-2 python-3 python2 python3 python-library python-script python-3-5

python-nats - A Python 2 client for NATS

Python

python2 nats tornado

populus - The Ethereum development framework with the most cute animal pictures

Python

The Ethereum development framework with the most cute animal pictures

populus ethereum python3 python2 smart-contracts framework

rules_python

Python

This repository provides Python rules for Bazel. Currently, support for rules that are available from Bazel core are simple aliases to that bundled functionality. On top of that, this repository provides support for installing dependencies typically managed via pip.Once a set of dependencies has been imported via pip_import and pip_install we can start consuming them in our py_{binary,library,test} rules. In support of this, the generated requirements.bzl also contains a requirement method, which can be used directly in deps=[] to reference an imported py_library.

bazel bazel-rules python-2 python2 python3 python-3 python27 pip pypi pypi-packages

python-stdlib-list - A list of Python Standard Libraries (2.6-7, 3.2-6).

Python

This package includes lists of all of the standard libraries for Python 2.6, 2.7, 3.2, 3.3, 3.4, 3.5, and 3.6, along with the code for scraping the official Python docs to get said lists. Because knowing whether or not a module is part of the standard library will come in handy in a project of mine. And I'm not the only one who would find this useful. Or, the TL;DR answer is that it's handy in situations when you're analyzing Python code and would like to find module dependencies.

python2 python3 python-standard-library