Flutter
React Native
import.io
Data Miner
Kimono
Ionic Framework
Apify
Crawlera
PyPy
cx_Freeze
bbfreeze
Numba
Cython
PyInstaller
PyOxidizer
asciinema
Based on our record, Flutter seems to be a lot more popular than PyPy. While we know about 372 links to Flutter, we've tracked only 9 mentions of PyPy. 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.
Let start another chapter of this journey with Dart by creating a mobile application with Flutter. For this post, a really simple application will be created called sandbox. Instead of adding some interactive part, like sending/receiving data from a backend, let simply design an application based on a wireframe. - Source: dev.to / 4 months ago
Built with Flutter + flutter_gemma 0.15.1 + Whisper.cpp + sqflite. Targets 4–6 GB RAM Android phones like the Tecno Spark 10 and Infinix Hot 30 — the phones African kids actually share with their families. - Source: dev.to / 4 months ago
For apps with custom-rendered UIs — React Native, Flutter, games — where the accessibility tree is sparse, MobAI offers an OCR fallback that returns recognized text with tap coordinates. The agent always has something to work with. - Source: dev.to / 5 months ago
Flutter is an open source UI toolkit by Google where a single codebase can be used for cross-platform applications such as for mobile, web and desktop. It has many advantages such as Hot Reload where you can instantly see the changes you make, the dart language that is strongly typed and fast, and as previously mentioned, its cross-platform application. - Source: dev.to / 7 months ago
To install Flutter on your computer, first open flutter.dev. - Source: dev.to / 8 months ago
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
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
"On average, PyPy is 4.4 times faster than CPython 3.7." https://pypy.org/. - Source: Hacker News / almost 2 years ago
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
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
React Native - A framework for building native apps with React
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
bbfreeze - create stand-alone executables from python scripts
Data Miner - Data Miner is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.
Numba - Numba gives you the power to speed up your applications with high performance functions written...