Search Results for "environment variables"
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Showing 62 open source projects for "environment variables"
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Python-Dotenv
Load environment variables from .env files into Python apps
python-dotenv is a Python utility that reads key-value pairs from a .env file and sets them as environment variables. This is especially useful for managing configuration values, secrets, or settings outside of source code, in line with the 12-factor app principles. Commonly used in Flask, Django, and other frameworks, it helps maintain clean and secure codebases across environments like development, staging, and production. -
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django-environ
Django-environ allows you to utilize 12factor inspired environment
The idea of this package is to unify a lot of packages that make the same stuff: Take a string from os.environ, parse and cast it to some of useful python typed variables. To do that and to use the 12factor approach, some connection strings are expressed as url, so this package can parse it and return a urllib.parse.ParseResult. These strings from os.environ are loaded from a .env file and filled in os.environ with setdefault method, to avoid overwriting the real environment. A similar approach is used in Two Scoops of Django book and explained in the 12factor-Django article. django-environ is the Python package that allows you to use the Twelve-factor methodology to configure your Django application with environment variables.For that, it gives you an easy way to configure Django application using environment variables obtained from an environment file and provided by the OS. -
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Testcontainers Python
Testcontainers is a Python library that providing a friendly API
Testcontainers is a Python library that provides a friendly API to run a Docker container. It is designed to create a runtime environment to use during your automatic tests. -
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spyder
The scientific Python development environment
Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package. Spyder’s multi-language Editor integrates a number of powerful tools... -
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5
Pyzo
Python to the people
Pyzo is a free, open-source integrated development environment designed for interactive Python programming and scientific computing. It combines a code editor with an interactive Python shell, allowing users to write, execute, and examine code within a single interface. The software emphasizes simplicity, efficiency, and code introspection. It includes tools for exploring variables, browsing files, inspecting source structures, and accessing interactive documentation. ... -
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s3-client
Sample python script to work with Amazon S3
Example Python script to work with S3. -
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MiroFish
A Simple and Universal Swarm Intelligence Engine
...The system extracts “seed” information from sources such as breaking news, policy documents, and market signals to construct a high-fidelity digital parallel world populated by thousands of virtual agents with independent memory and behavior rules. Users can inject variables or conditions into this simulated environment from a “god’s eye view,” enabling iterative prediction of future trends under different assumptions, which can be useful for decision support, scenario planning, or creative exploration. The engine includes both backend and frontend components, with configuration and deployment instructions for local and containerized setups, and is designed to produce detailed predictive reports based on interactions and emergent patterns within the simulated world. -
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MCP Bridge
A middleware to provide an openAI compatible endpoint
MCP-Bridge serves as a middleware that connects the OpenAI API with MCP tools, allowing developers to utilize MCP functionalities through the OpenAI API interface. It provides endpoints compatible with OpenAI, facilitating seamless integration and enabling the use of MCP tools without requiring explicit MCP support in clients. -
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dynaconf
Configuration Management for Python
...On your own code you import and use settings object imported from your config.py file. Dynaconf prioritizes the use of environment variables and you can optionally store settings in Settings Files using any of toml|yaml|json|ini|py extension. -
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Factorio
Factorio headless server in a Docker container
...Users can configure server settings, maps, mods, and saved games through mounted volumes and environment variables within the container. -
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AWS Chalice
Python Serverless Microframework for AWS
...The framework includes local development tools so you can iterate on HTTP routes and inspect logs before shipping to the cloud. It also manages per-stage configuration, environment variables, IAM permissions scaffolding, and packaging optimizations to keep cold starts small. While it’s intentionally lightweight, it supports common production needs like CORS, custom authorizers, binary responses, and fine-grained IAM so you can grow from prototype to production without rewriting your stack. -
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Cookiecutter Django
Framework for jumpstarting production-ready Django projects quickly
Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Cookiecutter Django works with Python 3.9 and renders Django projects with 100% starting test coverage. It has 12-Factor based settings via django-environment. Secure by default, beacuse we believe in SSL. Optimized development and production settings. Registration is handled via django-allauth. It comes with custom user model ready to go. Provides an optional basic ASGI... -
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SageMaker Training Toolkit
Train machine learning models within Docker containers
Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and... -
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MCP Atlassian
MCP server that integrates Confluence and Jira
The MCP Atlassian server integrates Atlassian products like Confluence and Jira with the Model Context Protocol. It supports both Cloud and Server/Data Center deployments, enabling AI models to interact with these platforms securely. -
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Pyright
Static type checker for Python
...Pyright supports configuration files that provide granular control over settings. Different “execution environments” can be associated with subdirectories within a source base. Each environment can specify different module search paths, python language versions, and platform targets. Type inference for function return values, instance variables, class variables, and globals. Type guards that understand conditional code flow constructs like if/else statements. Type hinting generics in standard collections. Pyright ships as both a command-line tool and a VS Code extension that provides many powerful features that help improve programming efficiency. ... -
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OpenAI-Compatible Edge-TTS API
Free, high-quality text-to-speech API endpoint to replace OpenAI
...The server supports Server-Sent Events (SSE) for streaming audio, enabling low-latency playback in chat UIs and other interactive tools. A Docker image is provided for one-command deployment, and environment variables can be used to configure default voice, language, response format, authentication, and logging options. -
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
...For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. The Hugging Face Inference Toolkit allows user to override the default methods of the HuggingFaceHandlerService. SageMaker Hugging Face Inference Toolkit is licensed under the Apache 2.0 License. -
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Groq Python
The official Python Library for the Groq API
Groq Python is the official Python SDK for the Groq REST API, giving Python developers straightforward access to Groq’s LLM, chat, audio, and other AI services. Through this library, you can call Groq’s models from Python code — for example to request chat completions, code generation, transcription, or any supported endpoint — using idiomatic Python syntax. The SDK handles authentication (via environment variable or parameter), defines proper type-safe request/response data types, and... -
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Python Discord Bot Template
A simple template to start to code your own and personalized Discord
Python Discord Bot Template is a starter repository for creating a personalized Discord bot with Python and discord.py. It is meant to help developers avoid the repetitive setup work involved in organizing files, cogs, environment variables, commands, and runtime structure. The project is in feature-freeze mode, meaning it receives bug fixes and compatibility updates rather than constant new functionality. It includes guidance for creating a Discord application, setting up a bot token, inviting the bot to servers, and running it locally. Docker support is also included for users who prefer containerized deployment. ... -
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ZaneOps
A self-hosted PaaS for deploying and managing web apps
...The platform uses Docker Swarm for scalable container orchestration and Caddy for flexible routing and web serving. It gives developers a polished dashboard for managing projects, deployments, logs, URLs, environment variables, resource limits, and service configuration. ZaneOps supports Docker image deployments and deployment webhooks, making it useful for automated release workflows. It is aimed at startups, self-hosters, and teams that want modern deployment convenience without giving up control over servers, costs, or data. -
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Ollama Telegram Bot
Ollama Telegram bot, with advanced configuration
...The bot connects to a local or remote Ollama server, enabling users to run models on their own hardware while maintaining full privacy. It supports Docker-based deployment, making it easy to set up alongside an Ollama instance with optional GPU acceleration. Configuration is handled through environment variables, allowing customization of models, timeouts, and interaction rules. Overall, ollama-telegram provides a lightweight and extensible solution for deploying personal or team-based AI assistants. -
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Claude Code Tools
Practical productivity tools for Claude Code, Codex-CLI
...The project focuses on solving common problems encountered in AI-assisted development environments, including managing session history, automating terminal interactions, and maintaining context across multiple coding sessions. It includes tools that allow developers to search conversation logs quickly, manage environment variables securely, and execute interactive terminal workflows that AI agents can control. Some components enable Claude Code to interact with terminal multiplexers such as tmux so that it can run programs, debug applications, and interact with scripts that require user input. The toolkit also provides safety mechanisms that prevent potentially dangerous shell commands from being executed automatically by AI agents. -
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
...It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. Developers can configure different search providers and language models through environment variables, making it flexible for experimentation and prototyping. -
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AI Runner
Offline inference engine for art, real-time voice conversations
...At the core of its LLM stack is a mode-based architecture with specialized “modes” such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents. -
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xonsh
Python-powered, cross-platform, Unix-gazing shell
...The xonsh language has shell primitives that you are used to from Bash. The xonsh language is a superset of Python 3.6+ and you can run Python code and import modules. With xonsh you can combine Python with shell commands. Prepare environment variables and arguments in Python and use them in shell commands. The language is a superset of Python 3.6+ with additional shell primitives that you are used to from Bash and IPython.
