Bandit is a tool designed to find common security issues in Python code.
- linter
- bandit
- security-tools
- security-scanner
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Bandit is a tool designed to find common security issues in Python code.
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Multi-Cloud Security Auditing Tool
Insular email distribution - mail server as Docker images
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
Python Data. Leaflet.js Maps.
Python process launching
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
A Python scikit for building and analyzing recommender systems
SponsorBlock client for all YouTube TV clients.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Repository tracking all OpenStack repositories as submodules. Mirror of code maintained at opendev.org.
A system for quickly generating training data with weak supervision
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
The Penetration Testers Framework (PTF) is a way for modular support for up-to-date tools.
Autonomous research system for measurable, computer-executable research.
Automatically visualize your pandas dataframe via a single print! 📊 💡
Superduper: End-to-end framework for building custom AI applications and agents.