my office want to migrate to go programming language, what framework is recommended between chi or fiber?

• Fiber

  9 31,213 9.4 Go

  ⚡️ Express inspired web framework written in Go

  

• Echo

  14 28,420 8.0 Go

  High performance, minimalist Go web framework

  

  i prefer echo https://echo.labstack.com/ but from these two, i'd choose fiber

• WorkOS

  workos.com

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• adaptor

  0 180 4.1 Go

  Discontinued 🧬 Adaptor middleware to convert net/http handlers from/to Fiber request handlers

  

• connect-go

  4 3 0.0 Go

  Discontinued Moved to https://github.com/connectrpc/connect-go

  

  That said https://connect.build gives you the benefits of gRPC while keeping a wider compatibility with the web.

• fx

  6 5,162 8.2 Go

  A dependency injection based application framework for Go. (by uber-go)

  

  I've been looking into fx by Uber. Looks pretty cool, but I haven't had the chance to do anything more than a hello, world with it.

• dapr

  13 23,218 9.7 Go

  Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.

  

  Fasthttp on which fiber is based has A LOT of drawbacks and I would not recommend for general usage. Among things we found while analyzing it for Dapr: no request-specific context, no HTTP/2 or HTTP/3, almost no support for streaming, and the occasional bug that can’t be figured out.

• fasthttp

  2 21,001 8.6 Go

  Fast HTTP package for Go. Tuned for high performance. Zero memory allocations in hot paths. Up to 10x faster than net/http

  Fiber, while has a lot of batteries included and decent for many use cases, is known for having corner cases (because of internals like fasthttp) like https://github.com/valyala/fasthttp/issues/622

• InfluxDB

  www.influxdata.com

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  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.

  

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