Reverse Dependencies of docstring-parser

The following projects have a declared dependency on docstring-parser:

• docstring-extractor — Get Python docstrings from files
• DoctoPi — Extensible Python library for docs-as-code
• docution — Auto-document your API reference on Notion.
• doxtrings — a package that can ensure your docstrings are correct
• dpyslash — Improves slash commands for Python
• drakaina — Module for simple RPC service implementation
• drf-pydantic-openapi — OpenAPI (v3) schema generation via Pydantic models using Django REST Framework.
• dslash — A library which supplements Nextcord by adding support for slash commands.
• dsparse — Multi-modal file parsing and chunking
• dsrag — State-of-the-art RAG pipeline from D-Star AI
• dynamite-nsm — DynamiteNSM is a lightweight, versatile network security monitor designed to make securing your network environment simple and intuitive.
• elroy — no summary
• elyuf — This bot has been created independently for El-Yurt Umidi Foundation for easily searching Universities global rankings based on three top sources such as QS World University Rank, Times Higher Education Rank, US News & World Report Rank.
• EnumECG — Generate Enhanced Enum definitions for C++
• essmc2 — EssentialMC2: A Video Understanding Algorithm Framework.
• ethosian — Develop versatile agents integrating recall, expertise, and advanced functionalities.
• experimaestro — "Experimaestro is a computer science experiment manager"
• experimaestro-ir — Experimaestro common module for IR experiments
• exponential — A Python package with a built-in web application
• family-ai-voice-assistant-core — Core library for home smart speakers based on large language models (LLM).
• fast-dash — Turn your Python functions into interactive web applications. Fast Dash is an innovative way to build and deploy your Python code as interactive apps with minimal changes to your original code.
• fastkafka — FastKafka is a powerful and easy-to-use Python library for building asynchronous web services that interact with Kafka topics. Built on top of FastAPI, Starlette, Pydantic, AIOKafka and AsyncAPI, FastKafka simplifies the process of writing producers and consumers for Kafka topics.
• feud — Build powerful CLIs with simple idiomatic Python, driven by type hints. Not all arguments are bad.
• fhaviary — Gymnasium framework for training language model agents on constructive tasks
• firefly-framework — A SOA framework for Python
• flaightkit — Flyte SDK for Python (Latch fork)
• flask-gun — Flask Gun is a web framework for building APIs with Flask and Python 3.10+ type hints.
• flask-ninja — Flask Ninja is a web framework for building APIs with Flask and Python 3.9+ type hints.
• flask-typed — no summary
• FlawlessAPI — 一个高性能的API服务框架
• flytekit — Flyte SDK for Python
• fractal-tasks-core — Core bioimage-analysis library and tasks of the Fractal analytics platform
• frictionless-dfour — Dfour Storage for frictionless-py
• frostfs-testlib — Building blocks and utilities to facilitate development of automated tests for FrostFS system
• func2json — Convert Python functions to JSON schemas using Pydantic, Compatible with LLM Function Calling.
• funcchain — 🔖 write prompts as python functions
• funcdesc — Establish a general function description protocol, which can realize a comprehensive description of the input, output and side effects of an target function through an Python object. Provide a unified abstraction for parameter checking, interface generation and other functions in applications such as oneFace.
• funcli — Automatically generate a simple CLI.
• funcmodels — Pydantic model validation and argument handling, for your functions!
• function2widgets — no summary
• functioncalming — Robust and reliable OpenAI function calling
• functionsmith — Functionsmith is a general-purpose problem-solving agent using dynamic function calling
• funix — Building web apps without manually creating widgets
• funkyprompt — A library for speaking with large langauge models using object orientated generation to build data-rich agentic systems
• funparse — `funparse` allows you to 'derive' an argument parser from type annotations of a function's signature, cutting down on the boilerplate code.
• generate-client — 文本生成，图像生成，语音生成
• generate-core — 文本生成，图像生成，语音生成
• geopmdpy — GEOPM - Global Extensible Open Power Manager Daemon
• google-cloud-aiplatform — Vertex AI API client library
• google-cloud-automlops — Build MLOps Pipelines in Minutes.
• gpt-commands-python — A python module that provides an easy way to use OpenAI GPT-4 (or 3.5) function calling
• gpt-fn — no summary
• gptfunction — A decorator for wrapping Python functions to generate an OpenAI GPT function calling schema.
• graph-sitter — Add your description here
• graphtomation — An AI utility package to build and serve Crew and LangGraph workflows as FastAPI routes, packed with reusable components for AI engineers.
• great-expectations — Always know what to expect from your data.
• great-expectations-cta — Always know what to expect from your data.
• grebble-flow — Grebble flow
• hammadml-gpu — Hammad Python ~ Machine Learning
• hammadpy-light — Hammad's Python Library
• hammadpy-sm — Hammad's Python Library
• hiddenv — Utility for managing .env-sourced settings across multiple packages
• hilda — LLDB wrapped and empowered by iPython's features
• howtool — A toolkit to make tools document LLM friendly
• hydra-auto-schema — Automagically generate yaml schemas for your Hydra config files
• hype-up — no summary
• hyperstate — Library for managing hyperparameters and mutable state of machine learning training systems.
• hypertion — Streamlined and Efficient LLM function calling.
• icclim — Python library for climate indices calculation.
• impose-cli — Create a CLI tool easily.
• inmanta-core — Inmanta deployment tool
• InputPowertools — Kind of like a non intrusive addon for the standard input()
• inspect-ai — Framework for large language model evaluations
• inspect4py — Static code analysis package for Python repositories
• instructor — structured outputs for llm
• interactions-dynamic-help — Unofficial Dynamic Help Command for interactions.py
• interfaces-to — The quickest way to make Large Language Models do things.
• jaseci — no summary
• jetblack-markdown — A markdown extension for python documentation
• jsonargparse — Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables.
• kiara — Data-centric workflow orchestration.
• kognitos-bdk-api — Kognitos Book Development Kit
• kslurm — Helper scripts and wrappers for running commands on SLURM compute clusters.
• kts — A framework for fast and interactive conducting machine learning experiments on tabular data
• lab-partner-utils — Utilities used to embed Lab Partner into python projects
• lakefs-spec — An fsspec implementation for lakeFS.
• langflow-base — A Python package with a built-in web application
• langflow-base-nightly — A Python package with a built-in web application
• langinfra-base — A Python package with a built-in web application
• langroid — Harness LLMs with Multi-Agent Programming
• langroid-slim — Harness LLMs with Multi-Agent Programming
• lazyllm — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• lazyllm-beta — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• leetscrape — Introducing LeetScrape - a powerful and efficient Python package designed to scrape problem statements and their topic and company tags, difficulty, test cases, hints, and code stubs from LeetCode.com. Easily download and save LeetCode problems to your local machine, making it convenient for offline practice and studying. It is perfect for anyone preparing for coding interviews. With the LeetScrape, you can boost your coding skills and improve your chances of landing your dream job.
• letta — Create LLM agents with long-term memory and custom tools
• letta-nightly — Create LLM agents with long-term memory and custom tools
• lhub-extractors — LogicHub Feature Extractors
• lhub-integ — The Logichub Integration SDK
• libsa4py — LibSA4Py: Light-weight static analysis for extracting type hints and features
• litechain — Build robust LLM applications with true composability 🔗