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

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  • 1
    AI Berkshire

    AI Berkshire

    AI-era Berkshire: a value investing research framework

    AI Berkshire is an AI-assisted value investing research framework designed for Claude Code and Codex workflows. It turns the investment methods of Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu into structured research agents. The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and repeatable report formats to reduce shallow or overly balanced conclusions. The framework covers company research, earnings review, industry screening, portfolio thinking, management analysis, and investment checklists. It is best understood as a research and decision-support system rather than a source of financial advice.
    Downloads: 2 This Week
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  • 2
    Django REST framework

    Django REST framework

    Powerful and flexible toolkit for building Web APIs

    Django REST framework is a powerful and flexible toolkit for building Web APIs. Some reasons you might want to use REST framework: The Web browsable API is a huge usability win for your developers. Authentication policies including packages for OAuth1a and OAuth2. Serialization that supports both ORM and non-ORM data sources. Customizable all the way down - just use regular function-based views if you don't need the more powerful features. Extensive documentation, and great community support. Used and trusted by internationally recognised companies including Mozilla, Red Hat, Heroku, and Eventbrite. REST framework is a collaboratively funded project. If you use REST framework commercially we strongly encourage you to invest in its continued development by signing up for a paid plan.
    Downloads: 2 This Week
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  • 3
    FastAPI Python

    FastAPI Python

    FastAPI framework, high performance, easy to learn, fast to code

    FastAPI framework, high performance, easy to learn, fast to code, ready for production. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.
    Downloads: 2 This Week
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  • 4
    Flask-Limiter

    Flask-Limiter

    Rate Limiting extension for Flask

    Flask-Limiter provides rate-limiting features to flask applications. It allows configuring various backends to persist the rate limits, which is provided by the limits library. Sponsored by Zuplo - fully-managed API Gateway with rate limiting, authentication, and more. Add rate limiting to your API in minutes, try it at zuplo.com Test it out. The fast endpoint respects the default rate limit while the slow endpoint uses the decorated one. ping has no rate limit associated with it. By adding the extension to your flask application, you can configure various rate limits at different levels (e.g. application wide, per Blueprint, routes, resource etc). To include extra dependencies for a specific storage backend you can add the specific backend name via the extras notation.
    Downloads: 2 This Week
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  • 5
    Flask-SQLAlchemy

    Flask-SQLAlchemy

    Adds SQLAlchemy support to Flask

    Flask-SQLAlchemy is an extension for Flask that adds support for SQLAlchemy to your application. It simplifies using SQLAlchemy with Flask by setting up common objects and patterns for using those objects, such as a session tied to each web request, models, and engines. Flask-SQLAlchemy does not change how SQLAlchemy works or is used. See the SQLAlchemy documentation to learn how to work with the ORM in depth. The documentation here will only cover setting up the extension, not how to use SQLAlchemy.
    Downloads: 2 This Week
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  • 6
    Kalliope

    Kalliope

    Kalliope is a framework to create your own personal assistant

    Kalliope is a modular always-on voice-controlled personal assistant designed for home automation. Kalliope is a framework that will help you to create your own personal assistant. The concept is to create the brain of your assistant by attaching an input signal (vocal order, scheduled event, MQTT message, GPIO event, etc..) to one or multiple actions called neurons. You can create your own Kalliope bot, by simply choosing and composing the existing neurons without writing any code. But, if you need a particular module, you can write it by yourself, add it to your project, and propose it to the community. Kalliope can run on all Linux Debian-based distributions including a Raspberry Pi and its multi-lang. The only thing you need is a microphone.
    Downloads: 2 This Week
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  • 7
    Meridian

    Meridian

    Meridian is an MMM framework

    Meridian is a comprehensive, open source marketing mix modeling (MMM) framework developed by Google to help advertisers analyze and optimize the impact of their marketing investments. Built on Bayesian causal inference principles, Meridian enables organizations to evaluate how different marketing channels influence key performance indicators (KPIs) such as revenue or conversions while accounting for external factors like seasonality or economic trends. The framework provides a robust foundation for constructing in-house MMM pipelines capable of handling both national and geo-level data, with built-in support for calibration using experimental data or prior knowledge. Meridian uses the No-U-Turn Sampler (NUTS) for Markov Chain Monte Carlo (MCMC) sampling to produce statistically rigorous results, and it includes GPU acceleration to significantly reduce computation time.
    Downloads: 2 This Week
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  • 8
    Miasm

    Miasm

    Reverse engineering framework in Python

    The Miasm intermediate representation is used for multiple task: emulation through its jitter engine, symbolic execution, DSE, program analysis, but the intermediate representation can be a bit hard to read. We will present in this article new tricks Miasm has learned in 2018. Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout does not always totally conform with a reverse engineering “ideal view”, so please be tolerant of those odd graphs. Miasm is not the first tool to implement this feature. But, well, as the tool already had everything needed to implement DSE, it was just a matter of time before these features landed in the main branch.
    Downloads: 2 This Week
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  • 9
    Mobly

    Mobly

    E2E test framework for tests with complex environment requirements

    Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. Testing LTE network by controlling phones, base stations, and eNBs. Mobly can support many different types of devices and equipment, and it's easy to plug your own device or custom equipment/service into Mobly. Mobly comes with a set of libs to control common devices like Android devices. While developed by Googlers, Mobly is not an official Google product.
    Downloads: 2 This Week
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  • 10
    Neuro SAN Studio

    Neuro SAN Studio

    A playground for neuro-san

    Neuro SAN Studio is a development environment and playground for building, testing, and deploying multi-agent AI systems using the Neuro SAN framework. It provides a hands-on interface where users can design agent networks, run experiments, and observe how multiple agents collaborate to solve complex tasks. The platform is built around a data-driven approach, where entire agent systems can be defined using configuration files rather than extensive code, making it accessible to both developers and domain experts. It supports advanced orchestration through decentralized communication protocols, allowing agents to dynamically delegate tasks and adapt to changing requirements. The system also includes mechanisms for secure data handling, ensuring sensitive information is not exposed directly to language models. Neuro SAN Studio offers built-in examples, tutorials, and debugging tools, which help users quickly prototype and refine multi-agent workflows.
    Downloads: 2 This Week
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  • 11
    Password Guessing Framework

    Password Guessing Framework

    A Framework for Comparing Password Guessing Strategies

    The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked passwords is performed. In general though, any guesser that prints the password candidates via STDOUT can be used with the framework. The aforementioned password guessing / password cracking software is not part nor shipped with the framework and need to be installed separately.
    Downloads: 2 This Week
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  • 12
    RAG Anything

    RAG Anything

    RAG-Anything: All-in-One RAG Framework

    RAG-Anything is an open-source unified framework that extends the Retrieval-Augmented Generation (RAG) paradigm to fully multimodal document and knowledge retrieval, enabling systems to ingest, parse, represent, and query rich content that includes text, images, tables, formulas, and other structured or visual elements. Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance.
    Downloads: 2 This Week
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  • 13
    Ralph

    Ralph

    Ralph is the CMDB / Asset Management system for data center

    Ralph is built on top of Django and Python 3 and is easy to extend and customize without writing boilerplate code. REST API, Workflows code extensions allow for easy customization. We've chosen the best features of DCIM, Asset Mgmt and CMDB systems to create one, easy and well-integrated system. One interface is easier than 3. Keep track of assets purchases and their life cycle. Flexible flow system for assets life cycle. Data center and back office support. DC visualization built-in. Ralph is a simple yet powerful Asset Management, DCIM and CMDB system for data center and back office.
    Downloads: 2 This Week
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  • 14
    Slither

    Slither

    Static Analyzer for Solidity

    Slither is a Solidity static analysis framework written in Python 3. It runs a suite of vulnerability detectors, prints visual information about contract details, and provides an API to easily write custom analyses. Slither enables developers to find vulnerabilities, enhance their code comprehension, and quickly prototype custom analyses. Slither is the first open-source static analysis framework for Solidity. Slither is fast and precise; it can find real vulnerabilities in a few seconds without user intervention. It is highly customizable and provides a set of APIs to inspect and analyze Solidity code easily. We use it in all of our security reviews. Now you can integrate it into your code-review process. We are open sourcing the core analysis engine of Slither. This core provides advanced static-analysis features, including an intermediate representation (SlithIR) with taint tracking capabilities on top of which complex analyses (“detectors”) can be built.
    Downloads: 2 This Week
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  • 15
    Textual

    Textual

    Textual is a TUI (Text User Interface) framework for Python

    Textual is a Python framework for creating interactive applications that run in your terminal. Textual adds interactivity to Rich with a Python API inspired by modern web development. On modern terminal software (installed by default on most systems), Textual apps can use 16.7 million colors with mouse support and smooth flicker-free animation. A powerful layout engine and re-usable components makes it possible to build apps that rival the desktop and web experience. Textual runs on Linux, macOS, and Windows. Textual requires Python 3.7 or above. The addition of [dev] installs Textual development tools. See the docs if you need help getting started. Textual requires Python 3.7 or later (if you have a choice, pick the most recent Python). Textual runs on Linux, macOS, Windows and probably any OS where Python also runs.
    Downloads: 2 This Week
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  • 16
    Twint

    Twint

    An advanced Twitter scraping & OSINT tool written in Python

    Twint is an advanced open-source Twitter scraping and OSINT tool written in Python that extracts tweets, user data, followers, likes, and more—without relying on Twitter’s API—making it highly useful for researchers, analysts, and hobbyists who want to bypass rate limits and access public Twitter data.
    Downloads: 2 This Week
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  • 17
    Wally

    Wally

    Distributed Stream Processing

    Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API.
    Downloads: 2 This Week
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  • 18
    WiFi-Pumpkin

    WiFi-Pumpkin

    WiFi-Pumpkin - Framework for Rogue Wi-Fi Access Point Attack

    The WiFi-Pumpkin is a rogue AP framework to easily create these fake networks, all while forwarding legitimate traffic to and from the unsuspecting target. It comes stuffed with features, including rogue Wi-Fi access points, deauth attacks on client APs, a probe request and credentials monitor, transparent proxy, Windows update attack, phishing manager, ARP Poisoning, DNS Spoofing, Pumpkin-Proxy, and image capture on the fly. moreover, the WiFi-Pumpkin is a very complete framework for auditing Wi-Fi security check the list of features is quite broad.
    Downloads: 2 This Week
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  • 19
    django-viewflow

    django-viewflow

    Reusable workflow library for Django

    Viewflow is a lightweight reusable workflow library that helps to organize people collaboration business logic in Django applications. In conjunction with Django-material, they could be used as the framework to build ready-to-use business applications in minutes. Django web framework solves only technical problems related to the client-server interaction on top of the stateless HTTP protocol. Model-View-Template separation pattern helps to maintain simple CRUD-based logic. Viewflow is the library that offers an additional layer of Django web framework, allows explicitly specific people's workflow and extracts collaboration logic from Django views. Business process management and notation standard. It is a graphical notation readily understandable by all business stakeholders and software developers. Viewflow bridges the gap between a picture as the software specification and the working solution.
    Downloads: 2 This Week
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  • 20
    pre-commit

    pre-commit

    Framework for managing and maintaining multi-language pre-commit hooks

    Git hook scripts are useful for identifying simple issues before submission to code review. We run our hooks on every commit to automatically point out issues in code such as missing semicolons, trailing whitespace, and debug statements. By pointing these issues out before code review, this allows a code reviewer to focus on the architecture of a change while not wasting time with trivial style nitpicks. As we created more libraries and projects we recognized that sharing our pre-commit hooks across projects is painful. We copied and pasted unwieldy bash scripts from project to project and had to manually change the hooks to work for different project structures. We believe that you should always use the best industry standard linters. Some of the best linters are written in languages that you do not use in your project or have installed on your machine.
    Downloads: 2 This Week
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  • 21
    wxPython Project Phoenix

    wxPython Project Phoenix

    wxPython's Project Phoenix. A new implementation of wxPython

    wxPython, the cross-platform GUI toolkit for the Python language. With wxPython software developers can create truly native user interfaces for their Python applications, that run with little or no modifications on Windows, Macs and Linux or other Unix-like systems. Welcome to wxPython's Project Phoenix! Phoenix is the improved next-generation wxPython, "better, stronger, faster than he was before." This new implementation is focused on improving speed, maintainability and extensibility. Just like "Classic" wxPython, Phoenix wraps the wxWidgets C++ toolkit and provides access to the user interface portions of the wxWidgets API, enabling Python applications to have a native GUI on Windows, Macs or Unix systems, with a native look and feel and requiring very little (if any) platform-specific code.
    Downloads: 2 This Week
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  • 22
    PyGObject for Windows

    PyGObject for Windows

    All-In-One PyGI/PyGObject for Windows Installer

    Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit.
    Downloads: 11 This Week
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  • 23
    AI Chatbot Framework

    AI Chatbot Framework

    Python chatbot framework with Natural Language Understanding

    Building a chatbot can sound daunting, but it’s totally doable. AI Chatbot Framework is an AI powered conversational dialog interface built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. The smooth UI makes it effortless to create and train conversations to the bot and it continuously gets smarter as it learns from conversations it has with people. AI Chatbot Framework can live on any channel of your choice (such as Messenger, Slack etc.) by integrating it’s API with that platform. You don’t need to be an expert at artificial intelligence to create an awesome chatbot that has AI capabilities. With this boilerplate project you can create an AI-powered chatting machine in no time.
    Downloads: 1 This Week
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  • 24
    AWS Serverless Application Model

    AWS Serverless Application Model

    An open-source framework for building serverless applications

    The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines per resource, you can define the application you want and model it using YAML. During deployment, SAM transforms and expands the SAM syntax into AWS CloudFormation syntax, enabling you to build serverless applications faster. To get started with building SAM-based applications, use the AWS SAM CLI. SAM CLI provides a Lambda-like execution environment that lets you locally build, test, and debug applications defined by SAM templates or through the AWS Cloud Development Kit (CDK). You can also use the SAM CLI to deploy your applications to AWS. SAM and SAM CLI are open-sourced under the Apache 2.0 license. You can contribute new features and enhancements to SAM on GitHub or SAM CLI on GitHub.
    Downloads: 1 This Week
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  • 25
    Anymail

    Anymail

    Django email backends and webhooks for Amazon SES, Mailgun, Mailjet

    Anymail lets you send and receive email in Django using your choice of transactional email service providers (ESPs). It extends the standard django.core.mail with many common ESP-added features, providing a consistent API that avoids locking your code to one specific ESP (and making it easier to change ESPs later if needed). Integration of each ESP’s sending APIs into Django’s built-in email package, including support for HTML, attachments, extra headers, and other standard email features. Extensions to expose common ESP-added functionality, like tags, metadata, and tracking, with code that’s portable between ESPs. Inbound message support, to receive email through your ESP’s webhooks, with simplified, portable access to attachments and other inbound content. Anymail maintains compatibility with all Django versions that are in mainstream or extended support, plus (usually) a few older Django versions, and is extensively tested on all Python versions supported by Django.
    Downloads: 1 This Week
    Last Update:
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