Business Software for Python - Page 41
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Top Software that integrates with Python as of September 2026 - Page 41
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1
Sanic
Sanic
Intuitive API with smart defaults and no bloat allows you to get straight to work building your app. Build the way you want to build without letting your tooling constrain you. Built from the ground up with speed and scalability as a main concern. It is ready to power web applications big and small. Out of the box, it comes bundled with a web server ready to power your web applications. Sanic is one of the overall most popular frameworks on PyPI, and the top async enabled framework. The project is maintained and run by the community for the community. -
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Giotto
Giotto
It is based on the concept of Model, View and Controllers. The framework is designed to enforce a clean style that results in code that is maintainable over a long period. Other popular web frameworks are built with a mindset of launching fast. This results in code that will deploy quickly, but falls under it’s own complexity after many iterations. An example of a controller process is Apache, or gunicorn. A manifest is given to the controller process when it is started. All incoming requests to the controller process will be routed to a program contained within the manifest. A manifest is just a collection of programs. A user makes a request to the controller process. This can be a web request, or a command line invocation, or any other action that is handled by a controller process. -
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Growler
Growler
Growler is a web framework built atop asyncio, the asynchronous library described in PEP 3156 and added to the standard library in python 3.4. It takes a cue from the Connect & Express frameworks in the nodejs ecosystem, using a single application object and series of middleware to process HTTP requests. The custom chain of middleware provides an easy way to implement complex applications. The pip utility allows packages to provide optional requirements, so features may be installed only upon request. This meshes well with the minimal nature of the Growler project: don't install anything the user doesn't need. That being said, there are (will be) community packages that are blessed by the growler developers (after ensuring they work as expected and are well tested with each version of growler) that will be available as extras directly from the growler package. -
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hug
hug
Drastically simplify API development over multiple interfaces. With hug, design and develop your API once, then expose it however your clients need to consume it. Be it locally, over HTTP, or through the command line - hug is the fastest and most modern way to create APIs on Python3. hug has been built from the ground up with performance in mind. It is built to consume resources only when necessary and is then compiled with Cython to achieve amazing performance. As a result, hug consistently benchmarks as one of the fastest Python frameworks and without question takes the crown as the fastest high-level framework for Python 3. hug makes it easy to expose multiple versions of your API. With hug you can simply specify what version or range of versions an endpoint supports and then automatically have that enforced and communicated to your API's users. -
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Starlette
Starlette
Starlette includes an application class Starlette that nicely ties together all of its other functionality. A list of middleware to run for every request. A starlette application will always automatically include two middleware classes. ServerErrorMiddleware is added as the very outermost middleware, to handle any uncaught errors occurring anywhere in the entire stack. ExceptionMiddleware is added as the very innermost middleware, to deal with handled exception cases occurring in the routing or endpoints. Startup handler callables do not take any arguments and may be either standard functions or async functions. Shutdown handler callables do not take any arguments and may be either standard functions or async functions. -
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AIOHTTP
AIOHTTP
Supports both client and server side of HTTP protocol, both client and server web-sockets out-of-the-box, and avoids callback hell and web-server with middlewares and pluggable routing. -
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asyncio
asyncio
asyncio is used as a foundation for multiple Python asynchronous frameworks that provide high-performance network and web-servers, database connection libraries, distributed task queues, etc. asyncio is often a perfect fit for IO-bound and high-level structured network code. -
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Falcon
Falcon
Falcon is a blazing fast, minimalist Python web API framework for building robust app backends and microservices. The framework works great with both asyncio (ASGI) and gevent/meinheld (WSGI). The Falcon web framework encourages the REST architectural style. Resource classes implement HTTP method handlers that resolve requests and perform state transitions. Falcon complements more general Python web frameworks by providing extra reliability, flexibility, and performance wherever you need it. A number of Falcon add-ons, templates, and complementary packages are available for use in your projects. We've listed several of these on the Falcon wiki as a starting point, but you may also wish to search PyPI for additional resources. -
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CherryPy
CherryPy
CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program. This results in smaller source code developed in less time. CherryPy is now more than ten years old, and it has proven to be fast and reliable. It is being used in production by many sites, from the simplest to the most demanding. In order to make the most of CherryPy, you should start with the tutorials that will lead you through the most common aspects of the framework. Once done, you will probably want to browse through the basics and advanced sections that will demonstrate how to implement certain operations. Finally, you will want to carefully read the configuration and extend sections that go in-depth regarding the powerful features provided by the framework. -
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Gunicorn
Gunicorn
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork worker model. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. -
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Bottle
Bottle
Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library. Requests to function-call mapping with support for clean and dynamic URLs. Fast and pythonic built-in template engine and support for mako, jinja2 and cheetah templates. Convenient access to form data, file uploads, cookies, headers and other HTTP-related metadata. Built-in HTTP development server and support for paste, bjoern, gae, cherrypy or any other WSGI capable HTTP server. -
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Quadratic
Quadratic
Quadratic enables your team to work together on data analysis to deliver faster results. You already know how to use a spreadsheet, but you’ve never had this much power. Quadratic speaks Formulas and Python (SQL & JavaScript coming soon). Use the language you and your team already know. Single-line formulas are hard to read. In Quadratic you can expand your recipes to as many lines as you need. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. The last line of code is returned to the spreadsheet. Raw values, 1/2D arrays, and Pandas DataFrames are supported by default. Pull or fetch data from an external API, and it updates automatically in Quadratic's cells. Navigate with ease, zoom out for the big picture, and zoom in to focus on the details. Arrange and navigate your data how it makes sense in your head, not how a tool forces you to do it. -
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UnionML
Union
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. -
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Dify
Dify
Dify is an open-source platform designed to streamline the development and operation of generative AI applications. It offers a comprehensive suite of tools, including an intuitive orchestration studio for visual workflow design, a Prompt IDE for prompt testing and refinement, and enterprise-level LLMOps capabilities for monitoring and optimizing large language models. Dify supports integration with various LLMs, such as OpenAI's GPT series and open-source models like Llama, providing flexibility for developers to select models that best fit their needs. Additionally, its Backend-as-a-Service (BaaS) features enable seamless incorporation of AI functionalities into existing enterprise systems, facilitating the creation of AI-powered chatbots, document summarization tools, and virtual assistants. -
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Howdy
Howdy
We help companies hire product-oriented developers at unparalleled rates, available to work in your time zone with the highest retention rate in the industry. Say goodbye to spoon-feeding contractors and hello to product-oriented devs who live and breathe the full product life cycle. From discovery to development, they sweat the small stuff to deliver a top-notch user experience.Hiring top developers shouldn’t feel like pinching pennies. Our squad has the chops to tackle any biz or industry challenge, all while keepin' your budget in check. Keeping your dev team happy, satisfied, and sticking around for the long haul is our specialty. And we've got the secret sauce and super special retention strategies to make it happen. -
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E6 TRITIUM
Episode Six
From top 50 global banks to fintechs, E6 gives you the infrastructure to quickly deliver industry-leading payments solutions and the flexibility to adapt in real-time. No matter the changing trends, you’ll be in the lead with our payment technology. Stop letting decades-old technology hold back 21st-century opportunity. TRITIUM, E6's powerful payments platform, offers a solution flexible enough to redefine paytech, and secure and reliable enough to make your CIO smile. Whether you’re looking to modernize your payment technology stack, grow your business, or jump ahead of the competition, TRITIUM is the only choice. You didn’t get here by chance, tell us what you want to do. From launching new, innovative products to powering BaaS, TRITIUM offers a single, flexible payment platform that can power almost any payments use case. Our modern payment platform and technology will simplify your paytech stack and help you lower costs. -
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Granica
Granica
The Granica AI efficiency platform reduces the cost to store and access data while preserving its privacy to unlock it for training. Granica is developer-first, petabyte-scale, and AWS/GCP-native. Granica makes AI pipelines more efficient, privacy-preserving, and more performant. Efficiency is a new layer in the AI stack. Byte-granular data reduction uses novel compression algorithms, cutting costs to store and transfer objects in Amazon S3 and Google Cloud Storage by up to 80% and API costs by up to 90%. Estimate in 30 mins in your cloud environment, on a read-only sample of your S3/GCS data. No need for budget allocation or total cost of ownership analysis. Granica deploys into your environment and VPC, respecting all of your security policies. Granica supports a wide range of data types for AI/ML/analytics, with lossy and fully lossless compression variants. Detect and protect sensitive data even before it is persisted into your cloud object store. -
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Editor.do
Editor.do
Editor.do is an all-in-one online IDE and hosting platform that allows you to create, code, host and deploy stunning & fast static websites in seconds. You can easily deploy your site files or a zip containing all your project files to our NVMe SSD storage servers, ensuring the fastest possible loading speed for your site. Our IDE supports over 150 programming languages with real-time code rendering and a panel of shortcuts and tools to search, replace, cut, select, and quickly manipulate your code. Editor.do offers over 1000 free and open-source templates covering a wide range of categories and libraries that can be imported directly from GitHub. Plus, ChatGPT is integrated and is always close at hand to help you correct, complete, or improve your code or text. Editor.do is an ideal platform for developers and designers of all skill levels who want to create stunning, fast, and secure websites in a fraction of the time.Starting Price: $3 per month -
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Authorizer
Authorizer
Build secure apps 10x faster. Low code tool and low cost deployment. Own your user data in your preferred database. Authenticate users with multiple auth recipes. Authorize users based on your business roles. OAuth2 and OpenID compatible APIs. Authentication and authorization have never been this simple before. Deploy production-ready Authorizer instance using one-click deployment options available. Open Authorizer instance endpoint in the browser. Sign up as an admin with a secure password. Configure environment variables from the dashboard. Authorizer object can be instantiated with JSON object. You can use Authorizer off the shelf and provide an amazing digital experience in just 3 minutes. We rather have you focused on your core business and build stuff that matters. Auth with best services baked in. Secure Session management implemented with HTTP-only cookies. Authorization Code flow implemented for mobile-based auth. -
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Sweep AI
Sweep AI
Spend time reviewing code generated by AI, not writing it. Sweep generates repository-level code at your command. Cut down your dev time on mundane tasks, like tests, documentation, and refactoring. Review all changes by Sweep, directly in Github, and comment if any changes need to be made. Push the commit if all looks good. All you have to do is write a ticket, and Sweep will do all of the heavy-lifting for you, allowing you to focus on the more important engineering problems. -
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Parsagon
Parsagon
Tell Parsagon what you want to do - our AI will write code to do it. -
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Monster API
Monster API
Effortlessly access powerful generative AI models with our auto-scaling APIs, zero management required. Generative AI models like stable diffusion, pix2pix and dreambooth are now an API call away. Build applications on top of such generative AI models using our scalable rest APIs which integrate seamlessly and come at a fraction of the cost of other alternatives. Seamless integrations with your existing systems, without the need for extensive development. Easily integrate our APIs into your workflow with support for stacks like CURL, Python, Node.js and PHP. We access the unused computing power of millions of decentralised crypto mining rigs worldwide and optimize them for machine learning and package them with popular generative AI models like Stable Diffusion. By harnessing these decentralized resources, we can provide you with a scalable, globally accessible, and, most importantly, affordable platform for Generative AI delivered through seamlessly integrable APIs. -
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dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
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Qtile
Qtile
Optimize your workflow by configuring your environment to fit how you work. Efficiently use screen real estate by automatically arranging windows with minimal visual cruft. It's easy to write your own layouts, widgets, and built-in commands. There's always someone to lend a hand when you need help. Leverage the full power and flexibility of the language to make it fit your needs. We aim to always support the last three versions of CPython, the reference Python interpreter. We usually support the latest stable version of PyPy as well. You can check the versions and interpreters we currently run our test suite against in our tox configuration file. -
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Vaex
Vaex
At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine. -
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AskYourDatabase
AskYourDatabase
Forget complex SQL or Python scripts, connect your database, and start chatting with your data. This plugin is a ChatGPT demo for further development. It only supports PostgreSQL, but you can copy and use it as a starting point for developing your own plugin. After you install it, you can try it with your PostgreSQL database, if you don't have one, you can try Vercel Postgres and get a free Postgres DB. -
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Polars
Polars
Knowing of data wrangling habits, Polars exposes a complete Python API, including the full set of features to manipulate DataFrames using an expression language that will empower you to create readable and performant code. Polars is written in Rust, uncompromising in its choices to provide a feature-complete DataFrame API to the Rust ecosystem. Use it as a DataFrame library or as a query engine backend for your data models. -
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Ever Efficient AI
Ever Efficient AI
Ever Efficient AI offers a powerful yet accessible AI automation platform helping businesses maximize efficiency - without hiring a full-time AI engineer on the team. Their flexible subscription plans connect you with AI experts who build customized data solutions tailored to your specific workflows and industry. No complex modeling or coding is required on your end. The collaborative process lets those with domain expertise guide tool development. EverEfficientAI's team manages the technical complexity behind the scenes, converting your datasets and processes into optimized AI systems. Bi-weekly agile sprints adapt the tools over time while providing transparency. With a focus on usability and rapid integration, EverEfficientAI makes advanced AI easily actionable by any organization. The future of work is here - are you ready to let your data work smarter for you?Starting Price: $3,497 per month -
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StableCode
Stability AI
StableCode offers a unique way for developers to become more efficient by using three different models to help in their coding. The base model was first trained on a diverse set of programming languages from the stack-dataset (v1.2) from BigCode and then trained further with popular languages like Python, Go, Java, Javascript, C, markdown and C++. In total, we trained our models on 560B tokens of code on our HPC cluster. After the base model had been established, the instruction model was then tuned for specific use cases to help solve complex programming tasks. ~120,000 code instruction/response pairs in Alpaca format were trained on the base model to achieve this result. StableCode is the ideal building block for those wanting to learn more about coding, and the long-context window model is the perfect assistant to ensure single and multiple-line autocomplete suggestions are available for the user. This model is built to handle a lot more code at once. -
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Enable hybrid cloud developers of all experience levels to write code with AI-generated recommendations. What if you could translate plain English to code? IBM watsonx Code Assistant allows you to do just that. Powered by IBM watsonx.ai foundation models (FM), IBM watsonx Code Assistant makes it easier for anyone to write code with AI-generated recommendations, bringing the power of IT automation to your entire organization as a strategic, accessible asset for more users—not just the subject-matter experts. This means automatically suggesting code for developers based on natural language inputs. IBM watsonx Code Assistant is infused with watsonx.ai FMs that are purpose-built, created with deployment efficiency in mind, and which enable organizations to customize the models, while also applying enterprise standards and best practices.
