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Assembla VS PyPy

Compare Assembla VS PyPy and see what are their differences

Assembla

Integrated, on-demand tools to build software faster, with less stress. Get started for free and find out why over 800,000 users trust Assembla.

Rating
0 reviews
Alternatives Is it good?
PyPy

PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Umso
The Website Builder for Startups sponsored
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.

Which is more popular?

Based on our record, PyPy seems to be more popular. It has been mentioned 9 times since March 2021.

social mentions
0 vs 9
Git popularity
100% vs 0%
alternatives listed
240+ vs 18

Base details

Website, pricing, platforms and company facts side by side.

Assembla
PyPy
Website assembla.com pypy.org
Pricing
Official pricing
Open source
Listed in
SCM Git Version Control Enterprise Version Control +1
Programming Language Website Builder Development Development Tools +1

Features and specs

What each product offers, as listed by its team.

Assembla 5 features
PyPy 4 features
  • Comprehensive Project Management Tools
    Assembla offers a variety of tools for project management, including ticketing, milestone tracking, and issue management, which help teams stay organized and efficient.
  • Version Control Integration
    Supports multiple version control systems like Git, SVN, and Perforce, enabling teams to use their preferred version control systems without switching platforms.
  • Cloud-Based
    Being a cloud-based platform, Assembla allows team members to access project tools and files from anywhere, promoting flexibility and remote work.
  • Security
    Assembla provides strong security features such as IP whitelisting, 2-factor authentication, and audit logs, which help protect sensitive project data.
  • Customizable Workspaces
    Each workspace can be tailored to suit the specific needs of a project or team, making it adaptable to various workflows and projects.

Possible disadvantages

  • Complexity
    The wide range of features can be overwhelming for new users, and there may be a steep learning curve for teams that are not familiar with such comprehensive tools.
  • Price
    Assembla's pricing can be higher compared to some other project management tools, which might be a concern for smaller teams or startups with limited budgets.
  • User Interface
    The user interface, while functional, is considered by some users to be less intuitive and visually appealing compared to competitors, potentially leading to slower user adoption.
  • Limited Offline Access
    Because Assembla is primarily a cloud-based service, it offers limited functionality without an active internet connection, which can be a drawback for users who need offline access.
  • Support
    Some users have reported that customer support can be slow to respond or less than satisfactory, which can lead to delays in resolving issues.
  • 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

  • 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

An editorial look at what each product does well and who it suits.

Assembla
PyPy

Overall verdict

  • Assembla is a good option for teams that require strong version control and collaboration capabilities. Its extensive features and integrations make it a viable solution for software development project management. However, the user interface and experience may vary depending on individual preference, so it might not be ideal for teams seeking a more modern or simplified project management tool.

Why this product is good

  • Assembla is a project management and collaboration tool designed primarily for teams working in software development. It is known for its robust version control integrations, including Git, Perforce, and Subversion. Assembla provides features like ticketing systems, time tracking, and code repositories that are essential for managing and organizing complex software projects. Its ability to support distributed teams and integrate with various development tools makes it popular among development teams.

Recommended for

    Assembla is recommended for software development teams looking for a comprehensive project management platform with strong version control support. It is particularly suited for distributed teams and organizations that require integration with tools like Git, Perforce, and Subversion. It may also be a good fit for teams that need detailed tracking and reporting capabilities.

No analysis of PyPy yet.

Videos

Walkthroughs and reviews on video.

Assembla 3 videos + Add
PyPy 3 videos + Add

Assembla Review

More videos

  • - Code Review in Assembla
  • - About Assembla

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

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Assembla
PyPy
100% 100%
Git
0% 0%
0% 0%
Website Builder
100% 100%
100% 100%
Code Collaboration
0% 0%
0% 0%
Development
100% 100%

User comments

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

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Assembla no reviews yet
PyPy no reviews yet

We have no reviews of PyPy yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Assembla 0 mentions
PyPy 9 mentions

Tracking Assembla since Mar 2021.

  • 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... - Source: Hacker News / 8 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... - 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

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