Software Alternatives, Accelerators & Startups

AmiBroker VS Python Fabric

Compare AmiBroker VS Python Fabric and see what are their differences

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AmiBroker logo AmiBroker

Professional tool for individual investor featuring: advanced formula language for writing indicators and trading systems; comprehensive back-testing reports; filtering by sectors; alerts and more...

Python Fabric logo Python Fabric

Fabric is a Python library and command-line tool for streamlining the use of SSH for application...
  • AmiBroker Landing page
    Landing page //
    2018-11-11
  • Python Fabric Landing page
    Landing page //
    2023-02-05

AmiBroker features and specs

  • Customization
    AmiBroker provides a highly customizable platform with extensive scripting capabilities through AFL (AmiBroker Formula Language), allowing users to create custom indicators, backtest systems, and automated trading strategies.
  • Speed
    The platform is optimized for speed and can handle large datasets efficiently, making it suitable for high-frequency trading and backtesting complex strategies.
  • Advanced Charting
    AmiBroker offers advanced charting features with multiple time frames, drawing tools, and a wide variety of technical indicators to analyze market trends.
  • Data Integration
    The software supports integration with multiple data sources and brokers, providing flexibility in terms of data feeds and execution of trades directly from the platform.
  • Cost-Effective
    Compared to other high-end trading platforms, AmiBroker offers a cost-effective solution with a one-time purchase fee, making it accessible for individual traders and small trading firms.

Possible disadvantages of AmiBroker

  • Learning Curve
    Due to its extensive features and customization options, there is a steep learning curve, especially for those who are new to trading platforms or scripting languages.
  • User Interface
    The user interface may seem outdated or non-intuitive compared to newer trading platforms, which can affect user experience and ease of navigation.
  • Limited Built-in Data
    AmiBroker does not come with built-in market data, requiring users to subscribe to third-party data providers for real-time or historical data, which can be an additional expense.
  • Windows-Only
    The platform is only available for Windows, limiting accessibility for users on MacOS or Linux unless they use virtualization or dual-boot solutions.
  • Support
    While AmiBroker has an active community and extensive documentation, official support can be limited, making it challenging for users to get timely assistance for specific issues.

Python Fabric features and specs

  • Easy to Use
    Fabric provides a simple API that makes it easy to execute remote commands over SSH. Its syntax is clear and straightforward, which simplifies the onboarding process for new users.
  • Python-based
    Being a Python library, Fabric allows leveraging Python's extensive ecosystem, making it easy to integrate with other Python tools and libraries for more complex automation tasks.
  • Task Automation
    Fabric excels at automating deployment tasks, making it easier to manage repetitive tasks like code deployment, system updates, and configuration changes.
  • Strong Community Support
    Fabric has a robust community and extensive documentation, which means you can find a wealth of resources, tutorials, and third-party tools to extend its functionality.
  • SSH-based
    Fabric uses SSH to connect to remote servers, providing a secure and reliable method for executing remote commands.

Possible disadvantages of Python Fabric

  • Limited Windows Support
    Fabric is primarily designed for Unix-based systems, and its support for Windows can be limited and less straightforward to set up.
  • Not as Feature-rich
    Compared to more comprehensive orchestration tools like Ansible, Fabric may lack some advanced features and built-in functionalities, requiring additional scripting for complex tasks.
  • Scalability Issues
    Fabric is more suited for smaller-scale deployments. For larger-scale systems, performance can become an issue, and other tools may be more efficient.
  • Concurrency Constraints
    While Fabric supports parallel execution, its concurrency model can be limiting compared to more advanced systems designed for high concurrency and orchestration.
  • Dependency Management
    Managing dependencies can become cumbersome, especially when working with various environments or configurations, requiring diligent setup and maintenance.

Analysis of Python Fabric

Overall verdict

  • Fabric is a robust tool that is highly regarded for its simplicity and the power it brings to deploying and managing systems. It is maintained well, has a strong community of users, and is suitable for a variety of deployment and automation scenarios. However, depending on your specific needs, there might be other tools that could better suit certain environments, such as Ansible or SaltStack for more complex configuration management.

Why this product is good

  • Python Fabric, accessible via fabfile.org, is a high-level Python library designed to streamline the execution of shell commands remotely over SSH. It's particularly useful for streamlining application deployment and system administration tasks. Fabric simplifies complex repetitive tasks by allowing you to write Python scripts ('fabfiles') that define these workflows in a more human-readable form. It supports parallel execution, role-based task execution, and integrates well with other tools in the Python ecosystem, making it highly versatile for automation purposes.

Recommended for

  • Developers looking for a simple and effective way to automate remote server tasks.
  • Teams deploying Python-based applications who can benefit from Fabricโ€™s native syncing with the language.
  • Administrators who need a lightweight tool for automating routine tasks or managing server farms.
  • Users interested in extending its functionality through Python's rich library ecosystem.

AmiBroker videos

๐Ÿš€Amibroker : Beginner's Guide for Indian Traders

More videos:

  • Review - Introduction to Amibroker
  • Review - Amibroker Review [Standard Tools]

Python Fabric videos

No Python Fabric videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to AmiBroker and Python Fabric)
Finance
100 100%
0% 0
Productivity
0 0%
100% 100
Investing
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Python Fabric seems to be more popular. It has been mentiond 2 times since March 2021. 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.

AmiBroker mentions (0)

We have not tracked any mentions of AmiBroker yet. Tracking of AmiBroker recommendations started around Mar 2021.

Python Fabric mentions (2)

  • What scripts have you built to stand up a new server?
    Thanks, will take a look at that curl thing. We are still using this and been working for us for ~15 years (python 2, ported to python 3) and this is just an example of how to take https://fabfile.org to the extreme but still is not the best way to do it. We only ~50 servers so it is not a massive fleet. The convenience of typing `fab ` to do things under control is still better than nothing :). - Source: Hacker News / almost 2 years ago
  • Good tool for automatic setup and deployment of Django projects
    I've used Rake and Fabric for somewhat similar (but less ambitious) stuff in the past and I'm thinking that Fabric might be a pretty good fit for this task as well, but I'd still like your input. Are there other tools I should look into? I've heard goodthings about Puppet but just looking at their site (it contains the word Enterprise ) gives me the feeling that it might be overkill for a one man operation. Source: over 4 years ago

What are some alternatives?

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

MetaTrader5 - World-leading multi-asset platform that allows trading Forex, Stocks, Futures and CFDs.

Android Studio - Android development environment based on IntelliJ IDEA

Protrader - Protrader is a professional multi-asset brokerage trading platform that offers trading environment on all major markets including forex, options, stocks, futures and CFDs.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

TradingView - The best charting tool for crypto and stocks

Xcode - Xcode is Appleโ€™s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.