Software Alternatives, Accelerators & Startups

Python VS Appian

Compare Python VS Appian and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Appian logo Appian

See how Appian, leading provider of modern low-code and BPM software solutions, has helped transform the businesses of over 3.5 million users worldwide.
  • Python Landing page
    Landing page //
    2021-10-17

  • Appian Landing page
    Landing page //
    2023-10-20

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Appian features and specs

  • Low-Code Development
    Appian allows users to create applications with minimal hand-coding, catering to business analysts and developers alike. Its drag-and-drop interface simplifies development and accelerates time-to-market.
  • Process Automation
    Appian excels in automating complex business processes, improving operational efficiency, and reducing human error. Its powerful BPM tools streamline workflows effectively.
  • Integration Capabilities
    Appian provides strong integration capabilities with various third-party systems, databases, and cloud services. This ensures that applications can seamlessly communicate with existing enterprise systems.
  • Enterprise-Grade Security
    Appian offers robust security features, including role-based access control and data encryption, making it suitable for businesses with stringent security requirements.
  • Scalability
    As a cloud-native platform, Appian is highly scalable, supporting the needs of growing enterprises by easily handling increased loads and more complex applications.
  • User Experience
    The platform provides a user-friendly interface, both for developers building the applications and end-users interacting with them, enhancing overall user satisfaction.

Possible disadvantages of Appian

  • Cost
    Appian can be expensive, particularly for small to medium-sized businesses. Its pricing model might not be feasible for organizations operating on a limited budget.
  • Learning Curve
    Although it simplifies development, mastering Appian still requires a learning curve. Users need to invest time in training, which can slow down the initial development phase.
  • Complex Customization
    Highly tailored or very specific customizations can be challenging to implement within Appian. Some complicated functionalities may require extensive workarounds.
  • Limited Offline Functionality
    Appian's offline capabilities are limited, which can be a disadvantage for field services or users who need to access the application without a reliable internet connection.
  • Vendor Lock-In
    Due to its proprietary technology, organizations may face vendor lock-in, making it challenging to migrate applications or data to another platform if needed.
  • Performance Issues at Scale
    While Appian is scalable, some users report performance issues when running extremely large and complex applications, which can impact user experience and overall efficiency.

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Appian videos

Appian CEO: Delivering โ€˜Mission-Criticalโ€™ Software | Mad Money | CNBC

More videos:

  • Review - This is Appian
  • Review - Appian Application Designer: Build Applications in Days, not Years

Category Popularity

0-100% (relative to Python and Appian)
Programming Language
100 100%
0% 0
BPM
0 0%
100% 100
OOP
100 100%
0% 0
Workflow Automation
0 0%
100% 100

User comments

Share your experience with using Python and Appian. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and Appian

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Appian Reviews

Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: A powerful low-code platform, Appian caters to large enterprises with complex business process automation needs. It offers robust workflow management capabilities, allowing you to automate intricate business processes with decision-making logic and case management features. Appian excels in industries like finance, insurance, and healthcare, where complex...
Source: medium.com
7 Best Business Process Management Tools (2023)
Appian is used by companies to automate their routine tasks, integrate with other enterprise tools, and create custom workflows. It offers a wide range of features such as mobile app development, chatbots, AI assistants, etc.
11 Business Process Management (BPM) Software for SMBs
Experience the power of business workflow automation with Appian and accelerate your business governance, results, and efficiency. Appian simplifies your workflow design to empower users and pro developers to draw processes, such as a flowchart.
Source: geekflare.com
10 Best Low-Code Development Platforms in 2020
Verdict: Appian is the provider of the software development platform. The Appian low code development platform is a combination of intelligent automation and low-code development.
Best Google App Maker alternatives in 2020
Appian excels when used to create form-based apps. The product does allow building custom UI components, but only by using Appianโ€™s in-product customization tools. Appianโ€™s reasoning for this is security and to ensure JS compliance across browsers and devices.
Source: retool.com

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than Appian. While we know about 299 links to Python, we've tracked only 7 mentions of Appian. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / about 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / about 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
View more

Appian mentions (7)

  • AI Coding Adoption at Enterprise Scale Is Harder Than Anyone Admits
    AI coding adoption at enterprise scale is hard because the real project is not installing a tool. It is redesigning trust, review, ownership, and delivery discipline around a new source of code generation. That's where platforms like Retool, ToolJet, Appian, etc. shine. - Source: dev.to / 4 months ago
  • Enterprise App Builders That Are Actually Enterprise-Ready (Top 5)
    You are process-heavy and regulated, and your app is basically a workflow engine: Appian. - Source: dev.to / 5 months ago
  • Low-Code tools & Frontend
    Does any of you use a low-code tool like Retool or Appian? If so, what is the most common use case? Source: over 3 years ago
  • Appian Associate Developer Certification help
    Look for use case inspiration in the Solutions area of appian.com and within the AppMarket. See if you can build proof of concepts of some of these. Source: over 3 years ago
  • What is best way to create an online responsive database driven website to help manage my small orchard?
    There are low code database driven website creation systems out there at the moment e.g. OutSystems and Appian however they have very limited free trials (e.g. auto-disable after a few days of no use), and then the paid options are again too expensive. Although I will note that they seem to be great in terms of their usability and would be perfect for creating a simple interface without too much diving into code. Source: almost 4 years ago
View more

What are some alternatives?

When comparing Python and Appian, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Camunda - The Universal Process Orchestrator

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Kintone - Build business apps and supercharge your company's productivity with kintone's all-in-one...

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Bizagi - Bizagi is a Business Process Management (BPMS) solution for faster and flexible process automation. It's powerful yet intuitive BPM Suite is designed to make your business more agile.