BorealCoder

array-language-comparisons

A comparison of array languages & libraries: APL, J, BQN, Uiua, Q, Julia, R, NumPy, Nial, Futhark, Dex, Ivy, SaC & ArrayFire.

pyschedule

pyschedule - resource scheduling in python

BLAKE3

the official Rust and C implementations of the BLAKE3 cryptographic hash function

python-registry

Pure Python parser for Windows Registry hives.

Fnord

Pattern Extractor for Obfuscated Code

miniforge

A conda-forge distribution.

streetmerchant

🤖 The world's easiest, most powerful stock checker

thonny

Python IDE for beginners

pytsk

Python bindings for The Sleuth Kit (libtsk)

arkime

Arkime is an open source, large scale, full packet capturing, indexing, and database system.

CyberChef

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

sherlock

Hunt down social media accounts by username across social networks

dji-log-parser

artifacts

Digital Forensics artifact repository

turbinia

Automation and Scaling of Digital Forensics Tools

searx

Privacy-respecting metasearch engine

python-stanford-corenlp

Python interface to CoreNLP using a bidirectional server-client interface.

stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

HexFiend

A fast and clever hex editor for macOS

urlscan-py

Python wrapper for urlscan.io's API

PyHunter

A Python wrapper for the Hunter.io v2 API

fastprogress

Simple and flexible progress bar for Jupyter Notebook and console

micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

hunchly-oss

Open source code for use with Hunchly.

nlp-tensorflow

NLP Tensorflow Tutorials

gophernotes

The Go kernel for Jupyter notebooks and nteract.

nltk

NLTK Source

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media