Uncovering the bottlenecks: An investigation into the poor performance of Laravel's container

This page summarizes the projects mentioned and recommended in the original post on /r/PHP

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • If you want to appear in search results write an intro in the root readme saying what the benchmarks are, what questions you're answering (i.e. repeat the questions that people might stick into Google that your page can answer). Then either move the results data to root or at least link it with a good link text like "Check out the full php container benchmark results here " rather the just the word link.

  • comparison

    Comparison between Capsule and other containers.

  • (For reference, here is one non-performance-related comparison: https://github.com/capsulephp/comparison.)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • php-di-container-benchmarks

    Benchmark for some popular PHP Dependency Injection Containers.

  • https://github.com/kocsismate/php-di-container-benchmarks is the latest container performance comparison I'm aware of. Let's just say Laravel's not very performant.

  • benchmarks-containers

    PHP Container Benchmarks

  • I don't search it very often, but "php container benchmarks" is all I'm searching. My top hits right now are the outdated https://github.com/phpbench/benchmarks-containers repo, that benchmark repo I linked before, its HTML report, an 8-year-old SitePoint blog, and Kinsta's annual PHP performance benchmark. Seems like you've got the right keywords, but I have no idea how Google decides to index GitHub.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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