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  1. Jun 18, 2024 · Locust Watch is FAO’s one-stop shop for all information concerning Desert Locust. The portal provides timely forecasts and early warnings to prevent and tackle the spread of Desert Locusts as well as resources and archives starting from 1975.

  2. Locust makes it easy to run load tests distributed over multiple machines. It is event-based (using gevent ), which makes it possible for a single process to handle many thousands concurrent users. While there may be other tools that are capable of doing more requests per second on a given hardware, the low overhead of each Locust user makes it very suitable for testing highly concurrent workloads.

  3. pypi.org › project › locustlocust · PyPI

    Jun 25, 2024 · Locust is an open source performance/load testing tool for HTTP and other protocols. Its developer-friendly approach lets you define your tests in regular Python code. Locust tests can be run from command line or using its web-based UI. Throughput, response times and errors can be viewed in real time and/or exported for later analysis.

  4. Jul 9, 2020 · Locust rigging and animation by Jasmine Bonshor, design by Gerry Fletcher, development by Catriona Morrison, Steven Connor and Adam Allen, words by Lucy Rodgers, field reporting by Joe Inwood.

  5. Large swarms of Locust can contain crores or billions of individuals. Locust can fly 200 km a day destroying all food crops and all kinds of greenery in their path. An adult Locust is capable of eating 2 kg of food a day, you can say it can eat its own body weight. Locust always breeds exponentially, where once a female can lay from 30 to 100 eggs.

  6. Locust loggers. Using Locust as a library. Skipping monkey patching. Full example. Third party extensions. Support for load testing other protocols, reporting etc. Automate distributed runs over SSH. Automatically translate a browser recording (HAR-file) to a locustfile. Workers written in other languages than Python.

  7. Jan 3, 2020 · Locust is completely event-based, and therefore it’s possible to support thousands of concurrent users on a single machine. In contrast to many other event-based apps it doesn’t use callbacks. Instead it uses light-weight processes, through gevent.

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