Best Application Development Software for Python - Page 10
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Compare the Top Application Development Software that integrates with Python as of November 2025 - Page 10
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This a list of Application Development software that integrates with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
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1
DataWorks
Alibaba Cloud
DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, offline job scheduling, and other features. DataWorks works straight ‘out-the-box’ without the need to worry about complex underlying cluster establishment and operations & management. You can drag and drop nodes to create a workflow. You can also edit and debug your code online, and ask other developers to join you. Supports data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Supports task monitoring and sends alarms when errors occur to avoid service interruptions. Runs millions of tasks concurrently and supports hourly, daily, weekly, and monthly schedules. DataWorks is the best platform for building big data warehouses and provides comprehensive data warehousing services. DataWorks provides a full solution for data aggregation, data processing, data governance, and data services. -
2
Shoreline
Shoreline.io
Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. -
3
JFrog
JFrog
Fully automated DevOps platform for distributing trusted software releases from code to production. Onboard DevOps projects with users, resources and permissions for faster deployment frequency. Fearlessly update with proactive identification of open source vulnerabilities and license compliance violations. Achieve zero downtime across your DevOps pipeline with High Availability and active/active clustering for your enterprise. Control your DevOps environment with out-of-the-box native and ecosystem integrations. Enterprise ready with choice of on-prem, cloud, multi-cloud or hybrid deployments that scale as you grow. Ensure speed, reliability and security of IoT software updates and device management at scale. Create new DevOps projects in minutes and easily onboard team members, resources and storage quotas to get coding faster.Starting Price: $98 per month -
4
Phylum
Phylum
Phylum defends applications at the perimeter of the open-source ecosystem and the tools used to build software. Its automated analysis engine scans third-party code as soon as it’s published into the open-source ecosystem to vet software packages, identify risks, inform users and block attacks. Think of Phylum like a firewall for open-source code. Phylum’s database of open-source software supply chain risks is the most comprehensive and scalable offering available, and can be deployed throughout the development lifecycle depending on an organization’s infrastructure and appsec program maturity: in front of artifact repository managers, directly with package managers or in CI/CD pipelines. The Phylum policy library allows users to toggle on the blocking of critical vulnerabilities, attacks like typosquats, obfuscated code and dependency confusion, copyleft licenses, and more. Users can also leverage OPA to create custom policies. -
5
CodeFactor
CodeFactor
Get a glance at code quality for the whole project, recent commits, and the most problematic files. CodeFactor will track new and fixed issues for every commit and pull request. CodeFactor will try to show the most critical issues first based on issue code size, file change frequency, and file size so you can start fixing only what's important. Create and track issues or comments directly from code files or project issues pages. CodeFactor will update the status for GitHub or Bitbucket pull requests as well. CodeFactor allows you to toggle inspection for any repository branch on the fly. CodeFactor integrates with Slack to send code quality notifications for every commit in a branch or pull request. To install, go to the repository settings page. Straightforward pricing based on private repository number. Plain and simple with no hidden fees. Seamless integration into your workflow.Starting Price: $19 per month -
6
Sider Scan
Sider Scan
Sider Scan is a lightning-fast duplicate code detection tool for software developers that finds and continuously monitors problems with code duplication. GitLab CI/CD, GitHubActions, Jenkins & CircleCI® integration. Installation using a Docker image. Easy team sharing of the analysis details. Continuous and fast analysis that runs in the background. Dedicated product support via email and phone. Sider Scan enhances long-term code quality and maintenance processes with in-depth duplicate code analysis. It's designed to complement other analysis tools, helping teams to produce cleaner code, and supporting continuous delivery. Sider finds duplicate blocks of code in your project and groups them. For each pair of duplicates, a diff library is created and pattern analyses are initiated to determine if there are any problems. This is referred to as the 'pattern' method of analysis. Time-series analysis is only possible when the scan is consistently run at regular intervals. -
7
WEBDEV
Windev
Responsive web design, WEBDEV allows you to easily develop Internet and Intranet sites and applications (WEB & SaaS) to manage data and processes. WEBDEV also generates PHP. WINDEV supports all databases. WEBDEV also supports all the databases that use ODBC drivers or OLEDB providers. The WINDEV, WEBDEV and WINDEV Mobile environments are compatible and share project elements. It has never been easier to build multi-target applications. The developer can focus on key business requirements, and not on the code, applications can finally meet your needs. Up to 20 times less code, develop applications in no time! Shorter time to market, allows you to gain market share. Software is easier to develop and improved reliability. Complete application RAD generator for PC, web, and mobile, template creation (patterns, inheritance & MVP). The ease of use and speed that allow you to develop and realize even your most ambitious projects.Starting Price: $1,703 one-time payment -
8
imageio
imageio
Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.Starting Price: Free -
9
IMSL
Perforce
Enhance performance and save development time with IMSL numerical libraries. Achieve your strategic objectives using IMSL's build tools. Model regression, make decision trees, establish neural networks, and forecast time series with your IMSL library. Rigorously tested and proven for decades across all industries, the IMSL C Numerical Library gives companies a dependable, high-ROI solution for building cutting-edge analytics tools. From data mining and forecasting, to advanced statistical analysis, the IMSL C Numerical Library can help teams quickly add sophisticated functionality to analytic applications. The IMSL C library makes integration and deployment easy. Enjoy easy migrations, support for common platforms and platform combinations, and no added infrastructure on embed in databases or applications. -
10
YAML
YAML
YAML: YAML Ain't Markup Language. YAML is a human-friendly data serialization language for all programming languages.Starting Price: Free -
11
Cython
Cython
Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.Starting Price: Free -
12
Arm Forge
Arm
Build reliable and optimized code for the right results on multiple Server and HPC architectures, from the latest compilers and C++ standards to Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge combines Arm DDT, the leading debugger for time-saving high-performance application debugging, Arm MAP, the trusted performance profiler for invaluable optimization advice across native and Python HPC codes, and Arm Performance Reports for advanced reporting capabilities. Arm DDT and Arm MAP are also available as standalone products. Efficient application development for Linux Server and HPC with Full technical support from Arm experts. Arm DDT is the debugger of choice for developing of C++, C, or Fortran parallel, and threaded applications on CPUs, and GPUs. Its powerful intuitive graphical interface helps you easily detect memory bugs and divergent behavior at all scales, making Arm DDT the number one debugger in research, industry, and academia. -
13
NGINX Unit
NGINX
An universal web app server that combines several layers of the typical application stack into a single component. NGINX Unit simplifies the application stack for web apps and APIs by combining several layers of the typical stack into a single component. NGINX Unit is a universal web app server, intended as a building block for any web architecture regardless of its complexity, from enterprise-scale deployments to your pet's home page. It is equally suited to simplifying modern microservices environments as it is to modernizing legacy and monolithic applications. NGINX Unit was created by the original NGINX team on an all-new, open-source codebase. The architecture incorporates insights from over a decade of running the world’s most popular web server. Unlike the NGINX web server, NGINX Unit uses a multi-process, multi-threaded architecture. The NGINX web server is often deployed as a reverse proxy in front of web applications. NGINX Unit can run the application code natively. -
14
Coverage.py
Coverage.py
Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.Starting Price: Free -
15
Coveralls
Coveralls
We help you deliver code confidently by showing which parts of your code aren’t covered by your test suite. Free for open-source repositories. Pro accounts for private repositories. Instant sign-up through GitHub, Bitbucket, and Gitlab. Maintaining a well-tested codebase is mission-critical. Figuring out where your tests are lacking can be painful. You're already running your tests on a continuous integration server, so shouldn't it be doing the heavy lifting? Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. If you're just running your code coverage locally, you won't be able to see changes and trends that occur during your entire development cycle. Coveralls lets you inspect every detail of your coverage with unlimited history. Coveralls takes the pain out of tracking your code coverage. Know where you stand with your untested code. Develop with confidence that your code is covered.Starting Price: $10 per month -
16
JetBrains Fleet
JetBrains
Built from scratch, based on 20 years of experience developing IDEs. JetBrains Fleet uses the IntelliJ code-processing engine, with a distributed IDE architecture and a reimagined UI. We built Fleet to be a fast and lightweight text editor for when you need to quickly browse and edit your code. It starts up in an instant so you can begin working immediately, and it can easily transform into an IDE, with the IntelliJ code-processing engine running separately from the editor itself. Fleet inherits the things that developers love the most from IntelliJ-based IDEs – project and context aware code completion, navigation to definitions and usages, on-the-fly code quality checks, and quick-fixes. Fleet’s architecture is designed to support a range of configurations and workflows. You can simply run Fleet just on your machine, or move some of the processes elsewhere – for example by locating the code processing in the cloud. -
17
Jinja
Jinja
Jinja is a fast, expressive, extensible templating engine. Special placeholders in the template allow writing code similar to Python syntax. Then the template is passed data to render the final document.Starting Price: Free -
18
JetBrains DataSpell
JetBrains
Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.Starting Price: $229 -
19
Codegrip
Codegrip
Customize the code review rule sets to align with the standards you want to follow. Automatically avoid bugs that are not important to you so that you can concentrate on what matters. Perform code reviews without worrying about the security of your code. Codegrip does not store any of your code while performing automated code reviews. Always stay updated about the progress of your project. Get code quality reports and pull request notifications automatically in a Slack channel of your choice. Manage multiple projects with a dashboard view that provides all information in one place. Track the improvement in code quality over time with the help of easy-to-understand parameters and graphs. OWASP represents a broad consensus about the most critical security risks to web and mobile applications. It also guides developers and security professionals on the most critical vulnerabilities that are commonly found in web applications, which are also easy to exploit.Starting Price: $12 per user per month -
20
{CodeStore}
{CodeStore}
{CodeStore} is a free code snippet manager that makes it easy for programmers to store, find, and share code examples. It offers a variety of features, such as syntax highlighting, tagging, and full-text search. With {CodeStore}, finding the code snippet you are looking for is just a matter of seconds. Without the need of searching through your entire codebase, blogs, and forums. By synchronizing with the cloud, you always have access to all your code examples. You can also share them with others to make working on collaborative projects even more efficient. That makes {CodeStore} the perfect code snippet manager for programming beginners and professionals. Use the full-text search to find a specific code snippet. Further refine your search by filtering by programming language, tags, and more. Store your code snippets in the cloud to use them across multiple devices. You can also access them via a web browser whenever needed.Starting Price: €10 per year -
21
Dash
Kapeli
Dash gives your Mac instant offline access to 200+ API documentation sets. Dash is an API documentation browser and code snippet manager. Dash instantly searches offline documentation sets for 200+ APIs, 100+ cheat sheets, and more. You can even generate your own docsets or request docsets to be included. Dash comes with 200+ offline documentation sets. You can choose which documentation sets to download and Dash will take care of the rest, making sure they are kept up to date. You can also generate your own docsets, request docsets or download docsets from third-party sources. All documentation sets have been generated and are maintained with the utmost care. Dash integrates with package managers to generate documentation sets for anything you might need, as well as provide custom documentation sources of their own. Store snippets of code. Easily reuse snippets. Expand snippets in any app. Organize snippets with tags, syntax highlighting, and variable placeholders.Starting Price: Free -
22
IDLE
Python
IDLE is Python’s Integrated Development and Learning Environment. IDLE has the following features: - coded in 100% pure Python, using the tkinter GUI toolkit - cross-platform: works mostly the same on Windows, Unix, and macOS - Python shell window (interactive interpreter) with colorizing of code input, output, and error messages - multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features - search within any window, replace within editor windows, and search through multiple files (grep) - debugger with persistent breakpoints, stepping, and viewing of global and local namespaces - configuration, browsers, and other dialogsStarting Price: Free -
23
CUDA
NVIDIA
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.Starting Price: Free -
24
CodeTasty
CodeTasty
Modern, smart & extensible cloud IDE. CodeTasty is powerful IDE in the cloud with additional features only a cloud application can give you. Our IDE helps you write readable and clean code the smarter way - in real time. The code editor provides silk-smooth experience accompanied with error detection tools, code completion, built-in compilation and a lot more. Login to IDE and start coding. There is no setup at all, you’re ready to work on your projects right away. Experience desktop-like speed and performance while editing your files in the cloud. And, unlike desktop, see what your collaborators are doing. We understand every developer has different needs. You can install countless extensions to enhance your productivity. CodeTasty supports more than 40 languages. The editor supports all major languages and up to a hundred thousand lines of code in a single file.Starting Price: $4 per month -
25
Horovod
Horovod
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.Starting Price: Free -
26
Clutch
Clutch
With Clutch, you can design websites by visualizing components as blocks rather than lines of code, which saves you time and effort. Clutch's componentization approach allows you to reuse the same features throughout your project, eliminating the need to rebuild them from scratch. This not only saves time but also helps maintain consistency and ensures that your website has a cohesive look and feel. In addition to its visual interface, Clutch offers the option to code when necessary, allowing you to connect your website to a backend and perform database operations as needed. This means that even though you're using a visual builder, you're not limited to drag-and-drop components. This makes it easy to build complex web applications with advanced functionality while maintaining the benefits of a visual website builder.Starting Price: $35 per user per month -
27
Socket
Socket
Secure your supply chain. Ship with confidence. Socket fights vulnerabilities and provides visibility, defense-in-depth, and proactive supply chain protection for JavaScript and Python dependencies. Find and compare millions of open source packages. Socket is not a traditional vulnerability scanner. Socket proactively detects and blocks 70+ signals of supply chain risk in open source code, for comprehensive protection. Prevent compromised or hijacked packages from infiltrating your supply chain by monitoring changes to package.json and more in real-time. Socket is built by a team of prolific open source maintainers whose software is downloaded over 1 billion times per month. We understand how to build tools that developers love. But don’t take our word for it.Starting Price: $8 per user per month -
28
Grit
Grit
Put code migrations and dependency upgrades on autopilot. Grit has generated tens of thousands of successful changes for beta customers. Grit uses machine learning and static analysis to auto-generate pull requests for cleaning up technical debt. Without Grit, developers spend 33% of their work time on maintenance. Use Grit’s declarative syntax to define your own idioms. Grit detects dozens of common sources of technical debt and lets you fix them with an automated pull request in a single click. Write powerful AST-aware queries to find and fix antipatterns in your codebase. Grit runs on every pull request to hold the line on migrations and prevent sliding backward. -
29
PromptIDE
xAI
The xAI PromptIDE is an integrated development environment for prompt engineering and interpretability research. It accelerates prompt engineering through an SDK that allows implementing complex prompting techniques and rich analytics that visualize the network's outputs. We use it heavily in our continuous development of Grok. We developed the PromptIDE to give transparent access to Grok-1, the model that powers Grok, to engineers and researchers in the community. The IDE is designed to empower users and help them explore the capabilities of our large language models (LLMs) at pace. At the heart of the IDE is a Python code editor that - combined with a new SDK - allows implementing complex prompting techniques. While executing prompts in the IDE, users see helpful analytics such as the precise tokenization, sampling probabilities, alternative tokens, and aggregated attention masks. The IDE also offers quality of life features. It automatically saves all prompts.Starting Price: Free -
30
Orkes
Orkes
Scale your distributed applications, modernize your workflows for durability, and protect against software failures and downtimes with Orkes, the leading orchestration platform for developers. Build distributed systems that span across microservices, serverless, AI models, event-driven architectures and more - in any language, any framework. Your innovation, your code, your app - designed, developed, and delighting users a magnitude order faster. Orkes Conductor is the fastest way to build and modernize all your applications. Model your business logic as intuitively as you would in a whiteboard, code the components in the language and framework of your choice, run them at scale with no additional setups and observe across your distributed landscape - with enterprise-grade security and manageability baked-in.
