Open Source Python Frameworks - Page 19
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Python Frameworks
View 168 business solutionsBrowse 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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Slack Machine
A simple, yet powerful and extendable Slack bot
Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly but also allows for easy code organization. A plugin can look as simple as this: -
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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. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes. -
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Smart Contract Sanctuary
A home for ethereum smart contracts
A home for Ethereum smart contracts verified on Etherscan. This is the index repository for the smart contract sanctuary. Bookmark this repo. Chain-specific sub-repos and the index are updated twice a day. Expect a full, recursive check-out to take 2GB+ disk space. Existing repository but submodules never initialized - checkout submodules and update all chain-specific sub repositories. Contains smart contract sources for various networks, grouped by the first two chars of the contract address. A scriptable semantic grep utility for solidity (crunch numbers, find specific contracts, extract data) Semgrep is a fast, open-source, static analysis tool for finding bugs and enforcing code standards at editor, commit, and CI time, and now supports Solidity! A powerful online code search service that can be used to search the sanctuary without cloning. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
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A cooperative multithreading package written in Python. The API builds upon an useful synchronization abstraction.
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Spam Scalpel is an open source spam intelligence engine. Spam Scalpel's main objective is to automate data collection and analysis for monitoring compliance with anti-spam laws.
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Spineless is a generic cross-platform 3D game engine implemented in Python. Focus is on flexibility, clean design and ease of use, not pure speed or bleeding edge graphics.
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Spirit
Spirit is a modern Python based forum built on top of Django framework
Spirit is a Python-based forum built using the Django framework. Receive an automatic notification every time someone mentions your @name, quotes you or answers to your conversation. Create your own private conversations and invite as many users as you want to it. Spirit automatically registers which was the last comment you read on a conversation. Spirit saves all edits made to your comments. Spirit automatically saves your unfinished comments so you can complete them later. Highlight any comment you want with a "like." Spirit is mobile-first, it's meant to work in the same way in any given device. The code has been written on python employing django's framework and it can be easily integrated to pre-existing projects. Spirit is part of the open source initiative, and it's a project released under the terms of the MIT license. -
One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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Splinter
Splinter - Python test framework for web applications
Splinter is a Python test framework for web applications, providing a simple and consistent API for browser automation and testing. -
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Spoor is a lightweight, highly-customizable wiki engine with support for dynamically creating fields for structured data. It is written in Python and utilizes the Django web framework.
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USAGE OF SOURCEFORGE IS DEPRECATED: Go to http://springpython.webfactional.com for current project development. Spring Python is an offshoot of the Java-based Spring Framework and Spring Security, targeted for Python. Spring provides many useful features
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A codebase for the construction of 3d online virtual worlds. Includes everything you need to make your own multiplayer online roleplaying game. All game rules are contained in plugins which can be written in easy scripting languages such as Python.
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Standard Webhooks
The Standard Webhooks specification
Standard Webhooks is a community-driven specification and set of open-source tools designed to make webhooks consistent, secure, and interoperable across providers. The project defines strict guidelines covering aspects like signature formats, headers, timestamps, replay protection, and forward compatibility. It includes reference implementations for signature verification and signing across multiple languages such as Python, JavaScript/TypeScript, Go, Rust, Ruby, PHP, C#, Java, and Elixir, along with additional community SDKs. The initiative is guided by a technical steering committee with members from companies like Zapier, Twilio, Mux, ngrok, Supabase, Svix, and Kong. Standard Webhooks matters because it eliminates the fragmentation of webhook implementations, reducing consumer effort and enabling seamless verification in apps or even directly in API gateways. By unifying best practices, it improves developer experience, enhances security, and enables new ecosystem tools. -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. Secure by design, least-privilege execution, containerized analysis, and encrypted data storage. -
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StreamMine is a distributed event processing (streaming) infrastructure. You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
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SuperG is a code library written in Python intended to quickly enable programmers in a scientific environment to manage data files created by dispersed scientific instrumentation.
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This allows developers to completely avoid implementing MLOps, ETL pipelines, model deployment, data migration, and synchronization. Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data. -
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Surge is the name of an advanced game engine--includes graphics, sound, physics, scripting, networking, and more. Surge is also the name for the first game for this engine, which will be based on a replacement until the Surge Engine becomes viable.
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Tarawa is a Toolkit for RESTful Webapps; a set of Python libraries for server-side, client-side and intermediary HTTP communications, with an emphasis on conformance to RFC2616 and the principles of REST. SEE GITHUB FOR CURRENT HOME.
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TensorFlow Model Garden
Models and examples built with TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU). -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the theory of transfer learning and show how to apply it in useful projects. The development is on progress! The API will be updated soon, the more talented and light-weight API will be available in this repo! Detailed API documentation and sample jupyter notebooks that explain basic usages of API will be added! -
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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. -
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BS Eagle Project is an open source black-oil simulator. The goal of this project is to provide a free access to the modern oil simulator to study new methods of simulation. The project has a modular architecture and open to modifications and extensions.
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A software toolkit that implements the CoSy Architecture Schema for developing integrated intelligent robotic systems. The toolkit focuses on supporting on a space of information-processing architectures based on shared working memories.
