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GritQL is a declarative query language from Grit for searching and modifying source code. It lets users search with code snippets and metavariables, define custom lints, and apply auto-fix rules, and it supports rewriting JavaScript/TypeScript, Python, JSON, Java, Terraform, Solidity, CSS, Markdown, YAML, Rust, Go and SQL.
Kaveen Kumarasinghe is a software engineer in Seattle working at Stripe and previously part-time at OpenAI, building open-source tools and AI experiments. The site lists projects including GPTDiscord, an open-source Python integration that brings GPT conversations, image generation and document questions into Discord.
KoNLPy (pronounced "ko en el PIE") is a Python package for natural language processing of the Korean language. It is open source software released under GPL v3 or above, and users are asked to acknowledge its use with a citation.
Analyzes structured data and helps produce queries, insights or visualizations.
The Materials Data Facility (MDF) is a service for publishing, discovering and accessing materials science datasets. It supports minting DOIs for datasets and offers curated collections covering simulations, experimental data and machine-learning-ready data. Data can be uploaded from local storage, Globus endpoints or Google Drive, and datasets can be loaded with a Python package.
Matt Harrison is a personal blog authored by Matt Harrison. The blog covers topics including Amazon book piracy, the Effective Pandas book, Python and data science courses, and general software development content.
Notcurses is a C library for building complex textual user interfaces on modern terminal emulators. It does not use Ncurses, though it uses libtinfo from that package, and is not a source-compatible X/Open Curses replacement. Rust, C++, and Python wrappers are available. Source and issue tracking are hosted on GitHub, with a man page API reference.
OpenFace is a free and open source face recognition implementation with deep neural networks, written in Python and Torch and based on the CVPR 2015 FaceNet paper. It detects faces, aligns them, and embeds faces on a 128-dimensional unit hypersphere.
Discord invite for joining a related community, support server, updates, or project discussion.
Ren'Py is a visual novel engine for telling interactive stories with words, images and sounds on computers and mobile devices. It covers visual novels and life simulation games, using an easy to learn script language and Python scripting. It is open source and free for commercial use, with supported platforms including Windows, Mac, Linux, Android and iOS.
A Python module for machine learning built on top of SciPy.
SimpleCV is an open source framework for building computer vision applications, providing access to libraries such as OpenCV without requiring knowledge of bit depths, file formats, color spaces or buffer management. The platform uses Python, and examples include connecting to a camera, binarizing images and drawing text.
Sourcecodester publishes free source code projects and tutorials across languages including Python, PHP, Visual Basic, C#, Java, JavaScript, C/C++, HTML/CSS and SQL. Posts present complete project source code with descriptions, such as an online food ordering system built with PHP and MySQL or a drug recommendation system using machine learning, PHP and MySQL.
spaCy is a free open-source library for Natural Language Processing in Python. It features named entity recognition, part-of-speech tagging, dependency parsing and word vectors, supports over 75 languages and provides 84 trained pipelines for 25 languages.
Statsmodels is a Python module providing classes and functions for estimating statistical models, conducting statistical tests, and statistical data exploration. It supports model specification using R-style formulas and pandas DataFrames, and is released under the open source Modified BSD (3-clause) license.
Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data. It includes built-in datasets, prediction algorithms such as SVD and NMF, similarity measures, and cross-validation tools. The documentation states that Surprise does not support implicit ratings or content-based information.
TextBlob is a Python library for processing textual data. It offers a simple API for natural language processing tasks including part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and tokenization. The documentation lists features such as word and phrase frequencies, parsing n-grams, lemmatization, spelling correction, and WordNet integration. It builds on NLTK and pattern, and new models or languages can be added through extensions.
TextRazor is a natural language processing API that extracts meaning from text. It performs entity extraction, disambiguation and linking, keyphrase extraction, and automatic topic tagging and classification across 19 languages. It classifies content to the IAB Content and IPTC Media Topic taxonomies and analyzes relations and typed dependencies. Official client SDKs exist in Python, Java and PHP, with a REST API for other languages.
An open-source resource for learning data structures and algorithms through implementations in various programming languages. The site covers programming languages including Python, Java, JavaScript, Go, Rust, and C++, and organizes algorithms into categories such as sorting, searching, and graph algorithms. It also provides guidance on contributing implementations.
