Note that even when Falcon is doing more work, it still is able to outperform other frameworks, which are only doing the bare minimum to construct a response.įalcon is an Apache-licensed community project, built and supported by stylish volunteers from around the world.Ĭheck out the Falcon talks, podcasts, and blog posts wiki page to learn more about the project, and to add your own resources.Ī number of Falcon add-ons, templates, and complementary packages are available for use in your projects. CPython 3.7.3 PyP圓 7.0.0 Extended Testįalcon was also benchmarked under CPython 3.7 with a more realistic scenario, in which the routing table had multiple entries, the query string contained percent-encoded characters, and several complex response headers were set in the response. The frameworks were tested on several different versions of Python. Benchmarks were executed by running the corresponding Docker images on a Google Compute Engine instance (Intel Skylake, 1vCPU, 2 GB RAM), running Ubuntu 18.04 with all system packages updated to their latest versions as of May 2019. Finally, results were calculated using the Decimal class, and rounded to the nearest whole number. Also, garbage collection was enabled as it would be in a production environment, and a full collection was forcefully triggered before each trial. The order in which the frameworks were tested was randomized for each trial. 50,000 iterations were executed per trial (100,000 for the PyPy tests), and the best time was recorded for each framework over 20 trials. Regardless, each app parses a route template with a single embedded parameter, reads a query parameter and a header from the request data, sets an x-header on the response, and finally returns a 10 KiB body, randomly generated. Requests are not sent over the network, since the performance of a given network or web server is not related to the performance of the WSGI frameworks themselves. The benchmark acts as a WSGI server and performs a GET request directly on each framework's PEP-3333 app. You should always run your own tests against your specific use case to discover what best suits your needs. Please note, however, that this benchmark is by no means comprehensive it is only meant to provide a rough performance comparison between the given frameworks, and to demonstrate the baseline per-request overhead each framework incurs on an application.Īs with any benchmark, you should take these numbers with a grain of salt. To give you a feel for Falcon's performance, we've included the results of running a simple benchmark across several popular Python web frameworks. Falcon's minimalist design provides space for Python community members to independently innovate on Falcon add-ons and complementary packages. It also helps you understand your apps at a deeper level, making them easier to tune, debug, and refactor over the long run.

This gives you a lot of freedom to customize and tune your implementation. Falcon leaves a lot of decisions and implementation details to you, the API developer. Considering a move to another programming language? Benchmark with Falcon+PyPy first!įlexible.

For an extra speed boost, Falcon compiles itself with Cython when available, and also works well with PyPy. Falcon turns around requests significantly faster than other popular Python frameworks like Django and Flask. All this makes it easier to reason about the code and to debug edge cases in large-scale deployments.įast. Finally, when it comes to the framework itself, we take care to keep logic paths simple and understandable. Potentially surprising behaviors, such as automatic request body parsing, are well-documented and disabled by default. Unhandled exceptions are never encapsulated or masked. It's easy to tell which inputs lead to which outputs.

Falcon has no dependencies outside the standard library, helping minimize your app's attack surface while avoiding transitive bugs and breaking changes.ĭebuggable. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. We go to great lengths to avoid introducing breaking changes, and when we do they are fully documented and only introduced (in the spirit of SemVer) with a major version increment. Falcon complements more general Python web frameworks by providing extra performance, reliability, and flexibility wherever you need it. We designed Falcon to support the demanding needs of large-scale microservices and responsive app backends.

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