Open Source Python Software - Page 71

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Browse free open source Python Software and projects below. Use the toggles on the left to filter open source Python Software by OS, license, language, programming language, and project status.

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  • 1
    Academic File Converter

    Academic File Converter

    Import Bibtex publications and Jupyter Notebook posts into websites

    Easily import publications and Jupyter notebooks to your Markdown-formatted website or book.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 2
    Aerich

    Aerich

    A database migrations tool for TortoiseORM, ready to production

    Aerich is a lightweight database migration tool built for Tortoise ORM, an async ORM for Python. It handles schema evolution through versioned migrations, enabling developers to update and rollback database changes with ease. Designed for asyncio-based applications, Aerich is ideal for fast-moving Python projects that need simple migration control without heavy dependencies.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    Agent SOP

    Agent SOP

    Natural language workflows for AI agents

    Agent SOP is a framework that implements structured operational procedures (SOPs) for autonomous agents so that they can carry out complex multi-step tasks reliably and in a defined order. Instead of relying solely on broad language model reasoning, this project enforces explicit step sequences with checkpoints, conditional transitions, and rollback logic, making agent workflows more predictable and auditable. It defines reusable SOP templates that agents can instantiate with context-specific parameters, allowing organizations to codify best practices for customer support, data processing, document workflows, or incident response. The framework supports monitoring and state tracking, so external systems can observe progress, intervene if necessary, and log outcomes for compliance or auditing. Integrations with common messaging and task orchestration systems enable SOP agents to interact with email, ticket queues, and databases as part of their workflows.
    Downloads: 4 This Week
    Last Update:
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  • 4
    Agent Skills

    Agent Skills

    Specification and documentation for Agent Skills

    agentskills is the specification and documentation repository for the Agent Skills open format, which defines a standardized way to package capabilities that AI agents can discover and use. A “skill” is treated as a foldered bundle containing instructions, optional scripts, and supporting resources, so agents can reliably apply a workflow or expertise area when it becomes relevant. The central goal is portability: you can write a skill once and reuse it across different agent runtimes and developer tools that implement the format. This repo serves as the canonical reference for how skills should be structured, what metadata they should include, and how an SDK can load and apply them consistently. It also includes supporting materials like guides and examples so builders can create skills that are predictable, testable, and shareable with teams.
    Downloads: 4 This Week
    Last Update:
    See Project
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  • 5
    Agent Skills for Context Engineering

    Agent Skills for Context Engineering

    A comprehensive collection of Agent Skills for context engineering

    Agent Skills for Context Engineering is a curated collection of reusable “agent skills” focused on helping AI agents perform better on long-horizon, multi-step work by managing context deliberately. Rather than being a single application, it packages practical guidance into skill modules that agents can load to improve planning, retrieval, memory usage, and overall reliability in real workflows. The repository emphasizes context engineering as a discipline, covering why agents fail when context gets too large, too noisy, or poorly structured, and how to mitigate those failure modes with repeatable patterns. It is designed to be used across modern agent environments that support skill folders and structured instructions, so teams can standardize how agents operate instead of relying on ad-hoc prompting.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 6
    AgentForge

    AgentForge

    Extensible AGI Framework

    AgentForge is a framework for creating and deploying AI agents that can perform autonomous decision-making and task execution. It enables developers to define agent behaviors, train models, and integrate AI-powered automation into various applications.
    Downloads: 4 This Week
    Last Update:
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  • 7
    Airweave

    Airweave

    Airweave lets agents search any app

    Airweave is an open-source platform that enables agents to semantically search across various applications, databases, and APIs. By transforming disparate data sources into a unified, searchable knowledge base, Airweave facilitates intelligent information retrieval through REST APIs or the MCP protocol. It's particularly useful for building AI agents that require access to structured and unstructured data across multiple platforms.
    Downloads: 4 This Week
    Last Update:
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  • 8
    Alibi Explain

    Alibi Explain

    Algorithms for explaining machine learning models

    Alibi is a Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 9
    AlphaGenome

    AlphaGenome

    Programmatic access to the AlphaGenome model

    The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. AlphaGenome achieves state-of-the-art performance across a range of genomic prediction benchmarks, including numerous diverse variant effect prediction tasks.
    Downloads: 4 This Week
    Last Update:
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  • 10
    Amazon DynamoDB Encryption Client Python

    Amazon DynamoDB Encryption Client Python

    Amazon DynamoDB Encryption Client for Python

    The Amazon DynamoDB Encryption Client for Python provides client-side encryption of Amazon DynamoDB items to help you to protect your table data before you send it to DynamoDB. It provides an implementation of the Amazon DynamoDB Encryption Client that is fully compatible with the Amazon DynamoDB Encryption Client for Java. The helper clients provide a familiar interface but the actual item encryption and decryption is handled by a low-level item encryptor. You usually will not need to interact with these low-level functions, but for certain advanced use cases it can be useful. If you do choose to use the item encryptor functions directly, you will need to provide a CryptoConfig for each call. By default, the helper clients use your attribute actions and cryptographic materials provider to build the CryptoConfig that is provided to the item encryptor. For some advanced use cases, you might want to provide a custom CryptoConfig for specific operations.
    Downloads: 4 This Week
    Last Update:
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  • 11
    Animated Drawings

    Animated Drawings

    Code to accompany "A Method for Animating Children's Drawings"

    AnimatedDrawings is a framework that converts user sketches or line drawings into fully animated 2D motion sequences using learned motion priors. The idea is that you draw a simple static figure (stick figure, silhouette, or contour lines), and the system produces plausible skeletal motion (walking, jumping, dancing) that adheres to the drawn shape constraints. The architecture separates shape embedding (to understand user-drawn geometry) from motion embedding / generation (to produce temporally coherent movement). Users can provide rough keyframes or control constraints (pose anchors), and the system fills intermediate frames with fluid animation. The repository includes demonstration apps and notebooks where you can upload or draw shapes and watch animations play. Because the approach is data-driven, it generalizes to new drawings even with varying proportions or stylizations.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 12
    Ansible Molecule

    Ansible Molecule

    Molecule aids in the development and testing of Ansible roles

    Molecule project is designed to aid in the development and testing of Ansible roles. Molecule provides support for testing with multiple instances, operating systems and distributions, virtualization providers, test frameworks and testing scenarios. Molecule encourages an approach that results in consistently developed roles that are well-written, easily understood and maintained. Molecule supports only the latest two major versions of Ansible (N/N-1), meaning that if the latest version is 2.9.x, we will also test our code with 2.8.x. Depending on the driver chosen, you may need to install additional OS packages. See INSTALL.rst, which is created when initializing a new scenario. Ansible is not listed as a direct dependency of molecule package because we only call it as a command-line tool. You may want to install it using your distribution package installer. It is your responsibility to assure that soft dependencies of Ansible are available on your controller or host machines.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 13
    Ansible for DevOps

    Ansible for DevOps

    Ansible for DevOps examples

    Ansible for DevOps is a collection of Ansible playbooks, roles, and infrastructure-as-code examples that accompany the book Ansible for DevOps by Jeff Geerling. Rather than being theoretical, the examples span real-world infrastructure setups: multi-server orchestration, LAMP stacks, Docker deployments, Kubernetes cluster spins, rolling updates, and security hardening. You can clone the repo and play with actual scenarios using Vagrant, VirtualBox, or cloud hosts, making it ideal for both learning and reference in production readiness. The code is structured by chapter/topic, so you can pick a scenario (for example “nodejs deployment” or “ELK stack”) and dive into a fully featured Ansible solution rather than starting from scratch. Because Ansible is popular for provisioning and configuration management, this repository lowers the barrier to experimenting with real infra patterns.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 14
    AnyTrading

    AnyTrading

    The most simple, flexible, and comprehensive OpenAI Gym trading

    gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 15
    Aporia

    Aporia

    IDE/Advanced text editor

    Aporia is an integrated development environment (IDE) for the Nim programming language, providing tools and features to streamline Nim development.
    Downloads: 4 This Week
    Last Update:
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  • 16
    AppAgent

    AppAgent

    Multimodal Agents as Smartphone Users, an LLM-based multimodal agent

    AppAgent is an open-source multimodal agent framework designed to enable large language models to operate smartphone applications through natural interactions with graphical user interfaces. The system allows an AI agent to interpret visual information from the screen and translate natural language instructions into actions such as tapping, swiping, and navigating between application screens. Instead of requiring backend access to application APIs, the framework interacts with apps the same way a human user would, making it compatible with a wide variety of mobile applications. AppAgent combines vision capabilities with language reasoning to understand interface elements and determine which actions are required to accomplish a task. The system also includes mechanisms for exploration and learning, allowing the agent to analyze user interface layouts and build structured knowledge about how different apps function.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 17
    Asm-Dude

    Asm-Dude

    Visual Studio extension for syntax highlighting assembly

    Visual Studio extension for assembly syntax highlighting and code completion in assembly files and the disassembly window. Assembly syntax highlighting and code assistance for assembly source files and the disassembly window for Visual Studio 2015, 2017 and 2019. This extension can be found in the visual studio extensions gallery or download latest installer AsmDude.vsix (v1.9.6.14). If assembly is too much of a hassle but you still want access to specific machine instructions, consider Intrinsics-Dude. The instruction sets of the x86 and the x64, but also SSE, AVX, AVX2, Xeon-Phi (Knights Corner) instructions with their descriptions are provided. Most of the regularly used Masm directives are supported and some Nasm directives. If you are not happy with highlighting or the descriptions. Mnemonics and descriptions can be added and changed by updating the AsmDudeData.xml file that will be stored next to the binaries when installing the plugin (.vsix).
    Downloads: 4 This Week
    Last Update:
    See Project
  • 18
    Atomic Agents

    Atomic Agents

    Building AI agents, atomically

    The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing developer experience and maintainability. The framework provides a set of tools and agents that can be combined to create powerful applications. It is built on top of Instructor and leverages the power of Pydantic for data and schema validation and serialization. All logic and control flows are written in Python, enabling developers to apply familiar best practices and workflows from traditional software development without compromising flexibility or clarity.
    Downloads: 4 This Week
    Last Update:
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  • 19
    Attendedsysupgrade Server

    Attendedsysupgrade Server

    An image on demand server for OpenWrt based distributions

    The Attended Sysupgrade (ASU) is a service developed by OpenWrt to streamline the firmware upgrade process for devices running OpenWrt or its derivatives. It allows users to generate custom firmware images with a selected set of pre-installed packages, eliminating the need to manually reinstall packages after an upgrade. This service simplifies maintaining up-to-date and customized firmware across various devices.
    Downloads: 4 This Week
    Last Update:
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  • 20
    Auto-Typer

    Auto-Typer

    Hooks your keys to only type the thing you selected

    Hooks your keys to only type the thing you selected. Run the command line script. Enter the number of times to repeat the text. Enter wherever to reverse the text or not. Enter what characters the text should contain (Enter for everything). Enter what characters the text should begin with (Enter for everything). Press Windows Shift S and select the area of the text. Press Enter to detect the text. Wait until the program displays the text. Press Enter to start typing. Then start typing, the program will "rewrite" the keys to the correct ones (By default only letters are enabled. To enable additional keys enter them to the file.) At the end press, Ctrl-Enter to stop the program. Click Start and start typing, the program will "rewrite" the keys to the correct ones (By default only letters are enabled. To enable additional keys enter them in the settings.)
    Downloads: 4 This Week
    Last Update:
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  • 21
    BISHENG

    BISHENG

    BISHENG is an open LLM devops platform for next generation apps

    BISHENG is an open LLM application DevOps platform, focusing on enterprise scenarios. It has been used by a large number of industry-leading organizations and Fortune 500 companies. "Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
    Downloads: 4 This Week
    Last Update:
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  • 22
    BLESS

    BLESS

    An SSH Certificate Authority that runs as an AWS Lambda function

    BLESS is an SSH Certificate Authority that runs as an AWS Lambda function and is used to sign SSH public keys. SSH Certificates are an excellent way to authorize users to access a particular SSH host, as they can be restricted for a single-use case, and can be short-lived. Instead of managing the authorized_keys of a host, or controlling who has access to SSH Private Keys, hosts just need to be configured to trust an SSH CA. BLESS should be run as an AWS Lambda in an isolated AWS account. Because BLESS needs access to a private key that is trusted by your hosts, an isolated AWS account helps restrict who can access that private key, or modify the BLESS code you are running. AWS Lambda functions can use an AWS IAM Policy to limit which IAM Roles can invoke the Lambda Function. If properly configured, you can restrict which IAM Roles can request SSH Certificates.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 23
    BQSKit

    BQSKit

    Berkeley Quantum Synthesis Toolkit

    The Berkeley Quantum Synthesis Toolkit (BQSKit) [bis • kit] is a powerful and portable quantum compiler framework. It can be used with ease to compile quantum programs to efficient physical circuits for any QPU. A standard workflow utilizing BQSKit consists of loading a program into the framework, modeling the target QPU, compiling the program, and exporting the resulting circuit.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 24
    Baby Buddy

    Baby Buddy

    Helps caregivers track sleep, feedings, diaper changes, and tummy time

    A buddy for babies! Helps caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guesswork. A buddy to help caregivers track sleep, feedings, diaper changes, and tummy time to learn about and predict baby's needs without (as much) guess work. A demo of Baby Buddy is available on Heroku. The demo instance resets every hour. Baby Buddy is available in a variety of languages thanks to the efforts of numerous translators. Language can be set on a per-user basis from the user settings page (/user/settings/).
    Downloads: 4 This Week
    Last Update:
    See Project
  • 25
    BambooAI

    BambooAI

    A Python library powered by Language Models (LLMs)

    BambooAI is a Python library powered by large language models (LLMs) for conversational data discovery and analysis, allowing users to interact with data through natural language.
    Downloads: 4 This Week
    Last Update:
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