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Shiftit VS PyPy

Compare Shiftit VS PyPy and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Shiftit logo Shiftit

fikovnik has 62 repositories available. Follow their code on GitHub.

PyPy logo PyPy

PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).
  • Shiftit Landing page
    Landing page //
    2023-09-19
  • PyPy Landing page
    Landing page //
    2023-10-15

Shiftit features and specs

  • Open Source
    ShiftIt is an open-source project, meaning that it is free to use and its source code is publicly available for review and modification. This allows users to customize the application to their needs and contributes to a larger community of developers and users.
  • Window Management
    ShiftIt provides powerful window management capabilities, enabling users to easily resize, move, and rearrange windows using keyboard shortcuts. This enhances productivity and helps maintain an organized workspace.
  • Lightweight
    ShiftIt is a lightweight application that does not consume significant system resources, making it a good choice for users who need efficient window management without sacrificing performance.
  • Customizable Shortcuts
    Users have the flexibility to customize keyboard shortcuts to their preferences, allowing for a more personalized and efficient window management experience.
  • Consistent Updates
    Being a maintained open-source project, ShiftIt receives consistent updates and improvements from the community, ensuring enhanced features and bug fixes over time.

Possible disadvantages of Shiftit

  • Limited to macOS
    ShiftIt is only available for macOS, which limits its usability to users of Apple's operating system and excludes users on other platforms such as Windows and Linux.
  • Potential Bugs
    As with many open-source projects, bugs and issues may surface occasionally. Though the community actively works on improvements, users might encounter stability issues or unexpected behavior.
  • Dependency on System Preferences
    ShiftIt requires accessibility permissions to function correctly, which may be cumbersome for some users to set up initially. Certain macOS updates may also affect these permissions, requiring users to reconfigure the application.
  • Lack of Advanced Features
    Compared to some commercial window management solutions, ShiftIt may lack some advanced features and customization options that power users might require.
  • User Interface
    ShiftIt does not have a polished graphical user interface, which might not appeal to users who prefer a more visually refined application. Most configuration and usage are done through menus and keyboard shortcuts.

PyPy features and specs

  • Performance
    PyPy is known for its superior execution speed and performance, often outperforming the standard CPython interpreter for many workloads thanks to its Just-in-Time (JIT) compilation strategy.
  • Compatibility
    PyPy aims to be compatible with standard Python, so many programs and libraries that run on CPython should work on PyPy without or with minimal changes.
  • Memory Efficiency
    Due to its garbage collection mechanism, PyPy often results in lower memory usage as compared to CPython, which can be beneficial for memory-intensive applications.
  • Concurrency
    PyPy provides better support for concurrency, including potentially avoiding some of the Global Interpreter Lock (GIL) performance issues present in CPython.

Possible disadvantages of PyPy

  • Compatibility Limitations
    Although PyPy aims to be compatible with Python, not all extensions and libraries available for CPython work flawlessly with PyPy, particularly those relying on C extensions.
  • Startup Time
    PyPy has a slower startup time than CPython due to the JIT compilation overhead, which could be a downside for scripts primarily dealing with short-lived processes.
  • Larger Memory Footprint
    While PyPy can be more memory efficient in the long term, the JIT compilation process can result in a larger initial memory footprint which could affect applications with limited memory resources.
  • Platform Support
    PyPy might not support all platforms or the latest Python features immediately, potentially causing issues for users relying on cutting-edge Python developments or specific system architectures.

Analysis of Shiftit

Overall verdict

  • Shiftit is generally regarded as a useful and efficient tool for users who seek enhanced window management capabilities on macOS. Its lightweight design and straightforward functionality make it a solid choice for improving workflow and organization.

Why this product is good

  • Shiftit is a window management tool for macOS that allows users to quickly and easily arrange their windows using keyboard shortcuts. It seamlessly improves productivity by optimizing screen real estate without requiring manual dragging and resizing of windows.

Recommended for

  • macOS users looking for improved window management
  • Individuals who prefer using keyboard shortcuts over mouse-driven tasks
  • Professionals seeking increased productivity through better screen organization
  • Users who want a free and open-source solution for managing windows on their desktop

Shiftit videos

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PyPy videos

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PyPy - the hero we all deserve. - Amit Ripshtos - PyCon Israel 2019

More videos:

  • Review - Using the PyPy runtime for Python
  • Review - How PyPy runs your program

Category Popularity

0-100% (relative to Shiftit and PyPy)

Shiftit

PyPy

Window Manager
100 100%
Window Manager
0% 0
Website Builder
0 0%
Website Builder
100% 100
OSX Tools
100 100%
OSX Tools
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using Shiftit and PyPy. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, PyPy seems to be more popular. It has been mentiond 9 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.

Shiftit mentions (0)

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

PyPy mentions (9)

  • CPython Internals Explained
    There are quite a few JITs: JIT-compiler for Python https://pypy.org/ Python enhancement proposal for JIT in CPython https://peps.python.org/pep-0744/ And there are several JIT-compilers for various subsets of Python, usually with focus on numerical code and often with GPU support, for example Numba https://numba.pydata.org/numba-doc/dev/user/jit.html Taichi Lang https://github.com/taichi-dev/taichi. - Source: Hacker News / 7 months ago
  • Pydrofoil: Accelerating Sail-based instruction set simulators
    Gains than using either compiler alone. This uses the PyPy JIT framework to speed up a RISC-V simulator. https://pypy.org/ https://github.com/pydrofoil/pydrofoil Pydrofoil: A fast RISC-V emulator generated from the Sail model, using PyPy's JIT. - Source: Hacker News / over 1 year ago
  • One Billion Nested Loop Iterations
    "On average, PyPy is 4.4 times faster than CPython 3.7." https://pypy.org/. - Source: Hacker News / almost 2 years ago
  • Ask HN: Are my HPC professors right? Is Python worthless compared to C?
    If you're going the pure Python route, don't forget to try PyPy[1], an alternative JITed implementation of the language. A seriously underrated project, IMHO. Most time it speeds up execution by a factor of 2x-4x, but improvements of about two orders of magnitude are not unheard of. See for example [2]. Numeric, long-running code shoud suit PyPy optimizations well. [1] https://pypy.org/ [2]... - Source: Hacker News / almost 2 years ago
  • Yes, Ruby is fast, but…
    Python: My Python-foo is limited, so I only ported the last problem (a simple while loop) and ran it with PyPy. It takes a bit less of time:. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Shiftit and PyPy, you can also consider the following products

Moom - Move your mouse over the green zoom button in any window, and Moom's mouse control overlay will appear (as seen in the above animation).

cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

Mizage Divvy - Divvy is an entirely new way of managing your workspace.

bbfreeze - create stand-alone executables from python scripts

AquaSnap - Too many windows on your screen? Stop wasting your productivity.

Numba - Numba gives you the power to speed up your applications with high performance functions written...

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