SpeedCrunch. SpeedCrunch is a high-precision scientific calculator featuring a fast, keyboard-driven user interface. It is free and open-source software, licensed under the GPL. Download Documentation Donate .
Calculate in a notebook and share — from everyday math to engineering.
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Which is more popular?
Based on our record, SpeedCrunch
should be more popular than Stackless Python.
It has been mentioned 6 times since March 2021.
social mentions
6 vs 3
Calculators popularity
100% vs 0%
alternatives listed
126 vs 5
Base details
Website, pricing, platforms and company facts side by side.
High Precision SpeedCrunch utilizes arbitrary-precision arithmetic, which allows calculations to be performed with a very high degree of accuracy.
Expression Parsing It can handle and parse complex mathematical expressions, making it suitable for advanced scientific and engineering calculations.
User-Friendly Interface The interface is clean and intuitive, allowing users to easily input and edit mathematical expressions without a steep learning curve.
Keyboard Shortcuts SpeedCrunch supports extensive keyboard shortcuts, which makes the application very efficient to use for experienced users.
Cross-Platform The software is available on multiple platforms including Windows, macOS, and Linux, providing flexibility for users on different operating systems.
Open Source As an open-source project, it allows for community contributions and transparency in its development, enabling users to trust and modify the software if needed.
Built-in Functions and Constants It includes a comprehensive list of built-in mathematical functions and constants, making it powerful for a wide range of applications.
Possible disadvantages
No Graphing Capabilities SpeedCrunch does not support graphing of mathematical functions, which can be a limitation for users who need visual representations of data.
Limited to Numerical Calculations It is primarily focused on numerical calculations and doesn't support symbolic mathematics, limiting its usefulness for some types of algebraic computations.
Lack of Documentation While it is intuitive for basic use, more advanced features may lack comprehensive documentation, making it harder for new users to fully leverage the software's capabilities.
No Mobile Version Currently, SpeedCrunch does not have an official mobile version, which could be a drawback for users who need to perform calculations on the go.
Customization Limitations There are limited options for customizing the user interface or adding new features beyond what is already included, which may be a downside for some users.
Efficient Concurrency Stackless Python provides microthreads, also known as tasklets, which offer efficient concurrency by allowing multiple tasks to run in a single thread without the overhead of traditional threading.
Simplified Code The microthreading model can lead to simplified code when compared to multithreading, as it avoids the complexities associated with locks and synchronization primitives.
Improved Performance Due to the avoidance of context switching between OS-level threads, Stackless Python can achieve improved performance for I/O-bound applications.
Flexibility Stackless Python allows developers to pause and resume functions at almost any point, providing great flexibility for creating advanced flow control mechanisms.
Low Memory Footprint Tasklets in Stackless Python are lightweight, leading to a lower memory footprint compared to traditional threading models.
Possible disadvantages
Compatibility Stackless Python may face compatibility issues with certain Python libraries and extensions that are not designed to work with its microthreading model.
Limited Community and Support Stackless Python has a smaller user base compared to standard Python, which can result in limited community support and fewer resources for learning and troubleshooting.
Platform Limitations Some platforms may not fully support or benefit from Stackless Python's features due to differences in underlying system architectures.
Debugging Challenges Debugging can be more challenging in Stackless Python due to its non-standard execution model, requiring developers to understand its unique flow control mechanisms.
Maintenance and Updates Since Stackless Python diverges from the standard Python implementation, it may lag in adopting new features and updates present in the latest Python releases.
Analysis
An editorial look at what each product does well and who it suits.
SpeedCrunchStackless Python
No analysis of SpeedCrunch yet.
Overall verdict
Stackless Python is a solid, mature alternative Python implementation that excels at massive concurrency through lightweight microthreads (tasklets), making it a good choice for specific concurrent and cooperative multitasking workloads, though its niche status means smaller community support compared to CPython.
Why this product is good
Provides tasklets (microthreads) that allow hundreds of thousands of concurrent tasks with very low memory overhead
Offers channels for clean, safe communication and synchronization between tasklets without traditional locking headaches
Supports cooperative and preemptive scheduling, giving developers fine-grained control over concurrency
Enables serialization (pickling) of running tasklets, which is powerful for saving and migrating program state
Proven in production at scale, most famously powering the MMO game EVE Online
Largely maintains compatibility with standard CPython code and libraries
Recommended for
Developers building highly concurrent applications requiring massive numbers of lightweight threads
Game servers and simulations needing efficient cooperative multitasking (like EVE Online's use case)
Projects that benefit from tasklet serialization for state migration or persistence
Systems programmers exploring alternatives to threads or async frameworks for concurrency
Users comfortable working with a specialized Python distribution outside the mainstream CPython ecosystem
SpeedCrunch allows you to crunch complex sets of math problems at high speeds. The app supports a wide range of mathematical operations, from random number generation to trigonometry.
Client uses a ton of Python too, mind you they have a very special interpreter. https://github.com/stackless-dev/stackless/wiki/.
- Source: Hacker News
/
about 4 years ago
How does Go "know" when a goroutine hits IO and can switch to another goroutine? Why don't other languages like Javascript/Python do this?
For the sake of “well, actually” completionism, this is possible in Python with stackless or the gevent library and some hacks, but when Guido and pals backed the standard awful way of doing async in commercial languages (async/await and...
Source:
about 4 years ago
How to Choose the Right Python Concurrency API
Is stackless still an alternative? (It used to be quite hot 1.5 decade ago) https://github.com/stackless-dev/stackless/wiki/.
- Source: Hacker News
/
about 4 years ago
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