Maximum results with minimum cost
- that’s ideal of all business and software development processes. How to get such a results in project with tight deadline and big performance expectations? Unfortunately there is no easy way: quality of software needs time and money, but .. choice of technologies, tools, solutions can be critical for product lifecycle. We can improve total time and cost of development and maintenance by choosing appropriate solutions.
The basis of effective software development is deep research and experience built on previous projects and also mistakes. In our firm we carry out systematic research of technologies dedicated web and mobile development. We create internal projects and test to detect potential problems. Today I wont to present you short review of verified RESTful solutions for Python which really speed up development time.
Technology research and benchmarks
The picture below presents a benchmark of peak JSON response per second for many technologies also Python. There are 3 Python approaches with the following results:
- Django-stripped (Django without context processors and middlewares) – 13 269 per sec
- Flask – 11 506 per sec
- Django – 7122 per sec
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