locust-grasshopper
redis-benchmarks-specification
| locust-grasshopper | redis-benchmarks-specification | |
|---|---|---|
| 1 | 1 | |
| 169 | 27 | |
| 3.0% | - | |
| 8.0 | 4.7 | |
| 3 months ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
locust-grasshopper
-
Grasshopper – An Open Source Python Library for Load Testing
For what it's worth, the repo and package name is `locust-grasshopper`
https://github.com/alteryx/locust-grasshopper
redis-benchmarks-specification
-
Redis 7 benchmarks 3-26% slower than 6
- Optimized GEO commands ( GEODIST, GEOSEARCH BYBOX and BYRADIOUS ) leading to up to 5.4x more ops/sec and still drop in latency of up to 6.4X in the p50 latency.
You can check the redis repo PRs that affect performance easily via: https://github.com/redis/redis/pulls?q=is%3Apr+label%3Aactio...
Taking this opportunity to also remind that our goal (Redis Performance Teams) is to make Redis Performance open and free of bias in any manner. Anyone can contribute in https://github.com/redis/redis-benchmarks-specification either by asking for specific use-cases to be benchmarked, sharing how they're using Redis so we can map that to new benchmarks, and as always submitting PRs to redis itself.
What are some alternatives?
pytest-django - A Django plugin for pytest.
python-kv-benchmark - Benchmarks for performing common operations with python client libraries for Memcached, Redis, Redis Cluster, Dragonfly, MongoDB & Etcd
SeleniumBase - 📊 Python's all-in-one framework for web crawling, scraping, testing, and reporting. Supports pytest. UC Mode provides stealth. Includes many tools.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
pudb - Full-screen console debugger for Python
py-spy - Sampling profiler for Python programs