Reverse Dependencies of docstring-parser
The following projects have a declared dependency on docstring-parser:
- flask-ninja — Flask Ninja is a web framework for building APIs with Flask and Python 3.9+ type hints.
- flask-typed — no summary
- 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
- funcchain — 🔖 write prompts as python functions
- 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
- 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
- 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.
- 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
- hyperstate — Library for managing hyperparameters and mutable state of machine learning training systems.
- 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
- ipapp — InPlat application framework
- 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.
- 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
- langroid — Harness LLMs with Multi-Agent Programming
- 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.
- 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 🔗
- livemark — Data presentation framework for Python that generates static sites from extended Markdown with interactive charts, tables, scripts, and other features.
- llama-cpp-agent — A framework for building LLM based AI agents with llama.cpp.
- llm-axe — A toolkit for quickly implementing llm powered functionalities.
- LLMEasyTools — OpenAI tools and functions with no fuss.
- llmfuncs — Dynamically generate JSON Schema from Python code.
- llmkira — A chain message bot based on OpenAI
- llmt — LLMT aims to make it easy to programatically connect OpenAI and HuggingFace models to your data pipelines, CI/CD, or personal workspaces.
- llmvm-cli — Command Line LLM with client-side tools support.
- lmclient-core — LM Async Client, openai client, azure openai client ...
- log21 — A simple logging package that helps you log colorized messages in Windows console.
- lytekit — Flyte SDK for Python
- m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
- magic-class — Generate multifunctional GUIs from classes
- magicgui — build GUIs from python types
- main-dec — A tiny library for creating CLIs
- marsh — (Un)marshaling framework.
- mate-shell — no summary
- medicure — A cosmetic treatment for your media files: movies, TV shows and also their subtitles.
- mirascope — An intuitive approach to building with LLMs
- mkdocs-yaarg-plugin — Yet Another API Reference Generator plugin for MKDocs.
- ml-versioning-tools — Set of Machine Learning versioning helpers
- mle-flake8-plugins — no summary
- mlpype-base — no summary
- mlvtools — Set of Machine Learning versioning helpers
- modelspec — A common JSON/YAML based format for compact model specification
- mongs-kfp — KubeFlow Pipelines SDK
- mqtt-presence-checker — Check if you (or your phone) is at home and notify your smarthome via mqtt!
- nedoc — Generator for API documentation
- neuroconv — Convert data from proprietary formats to NWB format.
- nnbench — A small framework for benchmarking machine learning models.
- notebook-doc — A package to create documentation for functions in Databricks notebooks
- numpydoctor — Completion, correction, and checking of numpydoc-style docstrings in Python.
- nynoflow — NynoFlow
- objinspect — View the structure of Python classes and functions
- omniconfig — Python package for parsing configurations from YAML and TOML and command-line interface.
- one-api-tool — Use only one line of code to call multiple model APIs similar to ChatGPT. Currently supported: Azure OpenAI Resource endpoint API, OpenAI Official API, and Anthropic Claude series model API.
- onefuzz — Onefuzz Client Library for Python
- openai-decorator — This package allows you to genrate function paramater values by integrating OpenAI's API function capabilities through signature and docstring analysis.
- openai-func-call — Easily pass python functions to openai function calling.
- openai-func-parser — Transform Python function docstrings into JSON schemas compliant with OpenAI function calling protocols.
- openai-function-calling — Helper functions to generate OpenAI GPT function calling requests.
- openai-functions — Simplifies the usage of OpenAI ChatGPT's function calling by generating the schemas and parsing OpenAI's responses for you.
- openai-functools — python openai functions tooling
- openai-streaming — Work with OpenAI's streaming API at ease, with Python generators
- opentool-ai — A protocol for AI agent tools
- pano — Panoramic Command Line Tool
- pdocs — A simple program and library to auto generate API documentation for Python modules.