A parser combinator library for Zig
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Updated
Jun 19, 2024 - Zig
A parser combinator library for Zig
Rust crate for writing GStreamer plugins and various plugins - This repository moved to https://gitlab.freedesktop.org/gstreamer/gst-plugins-rs
A parser combinator library for Gleam.
θ A strongly typed, functional, compiled programming language
CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
⛄ Possibly the smallest Lua compiler ever
Track the text strings in the game Balatro.
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. Includes code compatible with Ollama, ChromaDB and Pinecone.
A declarative parser combinator library for C++20.
RTSP (RFC 7826) types and parsers/serializers
Go library and command-line tool that converts the output of popular Linux command-line tools to JSON format.
High performance, concurrent functional programming abstractions
A free open source cross-platform C++ library for parsing ODB++ Design archives, accessing their data, and building net list product models. Exposed via a REST API packaged inside of a Docker image.
A lightweight JavaScript library based on annotatedtext and remark-parse for converting markdown documents into an annotated text format consumable by LanguageTool as AnnotatedText.
A lightweight JavaScript library based on annotatedtext and rehype-parse for converting html documents into an annotated text format consumable by LanguageTool as AnnotatedText.
A lightweight JavaScript library for converting markup documents into an annotated text format consumable by LanguageTool.
A customizable Log Viewer with ability to create custom providers. Can be used with C#, C++, Python, Java and others
Unlock the potential of AI-driven solutions and delve into the world of Large Language Models. Explore cutting-edge concepts, real-world applications, and best practices to build powerful systems with these state-of-the-art models.
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