Results for json-to-python

converts api json responses to python objects

Runs RSpec, Karma, Mocha, and Python Pytest Test builds and pushes JSON output to Learn.

Uses the NYTimes' CRF toolset to parse an ingredient list into a JSON structure that we can then map to Beeline's DB. Requires Python and libcrf++

Rbdantic provides BaseModel-like data classes with field validation, type coercion, custom validators, JSON Schema generation, and serialization. Inspired by Python's Pydantic.

# Introduction The Dyspatch API is based on the REST paradigm, and features resource based URLs with standard HTTP response codes to indicate errors. We use standard HTTP authentication and request verbs, and all responses are JSON formatted. See our [Implementation Guide](https://docs.dyspatch.io/development/implementing_dyspatch/) for more details on how to implement Dyspatch. ## API Client Libraries Dyspatch provides API Clients for popular languages and web frameworks. - [Java](https://github.com/getdyspatch/dyspatch-java) - [Javascript](https://github.com/getdyspatch/dyspatch-javascript) - [Python](https://github.com/getdyspatch/dyspatch-python) - [C#](https://github.com/getdyspatch/dyspatch-dotnet) - [Go](https://github.com/getdyspatch/dyspatch-golang) - [Ruby](https://github.com/getdyspatch/dyspatch-ruby)

Harbinger tracks EOL dates for Ruby, Rails, Python, Node.js, Rust, Go, PostgreSQL, MySQL, Redis, and MongoDB. Auto-detects versions from your projects and alerts you before support ends. Features ecosystem-grouped dashboard, JSON/CSV export, and bulk scanning.

SmarterJSON is a permissive JSON/JSON5 parser: comments, trailing commas, different quote styles, Python/JS keywords, and more, all parse to the same Ruby objects. Purposely no strict mode, always best-effort, blazing fast. Handles BOM, smart quotes, messy input. Compatible with config/data files and API responses alike.

A Ruby toolchain that compiles Morrowind plugins from source. Author records in JSON, Ruby, Python, JavaScript, or TypeScript; esp builds them to an .esp via tes3conv, manages scripts, translations, and dialogue, and lints against vanilla game data. One pipeline drives the CLI, an HTTP API, an MCP server, and an AI agent.

# SDKs generated by Sideko Netlify is a hosting service for the programmable web. It understands your documents and provides an API to handle atomic deploys of websites, manage form submissions, inject JavaScript snippets, and much more. This is a REST-style API that uses JSON for serialization and OAuth 2 for authentication. This document is an OpenAPI reference for the Netlify API that you can explore. For more detailed instructions for common uses, please visit the [online documentation](https://www.netlify.com/docs/api/). Visit our Community forum to join the conversation about [understanding and using Netlify’s API](https://community.netlify.com/t/common-issue-understanding-and-using-netlifys-api/160). Additionally, we have five API clients for your convenience: - [Python Client](https://github.com/sideko/netlify-python) - [Typescript Client](https://github.com/sideko/netlify-typescript) - [Ruby Client](https://github.com/sideko/netlify-ruby) - [Go Client](https://github.com/sideko/netlify-go) - [Rust Client](https://github.com/sideko/netlify-rust)

RedisRPC is the easiest to use RPC library in the world. (No small claim!) It has implementations in Ruby, PHP, and Python. Redis is a powerful in-memory data structure server that is useful for building fast distributed systems. Redis implements message queue functionality with its use of list data structures and the `LPOP`, `BLPOP`, and `RPUSH` commands. RedisRPC implements a lightweight RPC mechanism using Redis message queues to temporarily hold RPC request and response messages. These messages are encoded as JSON strings for portability. Many other RPC mechanisms are either programming language specific (e.g. Java RMI) or require boiler-plate code for explicit typing (e.g. Thrift). RedisRPC was designed to be extremely easy to use by eliminating boiler-plate code while also being programming language neutral. High performance was not an initial goal of RedisRPC and other RPC libraries are likely to have better performance. Instead, RedisRPC has better programmer performance; it lets you get something working immediately.

Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.

No description provided.