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Httpaf Alternatives
Similar projects and alternatives to httpaf
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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ocaml-opium-unikernel
Example unikernel using opium + httpaf (using https://github.com/dinosaure/paf-le-chien)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better httpaf alternative or higher similarity.
httpaf discussion
httpaf reviews and mentions
Posts with mentions or reviews of httpaf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-05-08.
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Easy parsing with reasonable error messages in OCaml's Angstrom
PARSER combinators are widely used in the world of functional programming, and OCaml's Angstrom library is one of them. It is used to implement many foundational parsers in the OCaml ecosystem, eg HTTP parsers for the httpaf stack.
- Parser Combinators in Haskell
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The RustyHermit Unikernel: unikernel written in Rust
Thanks for chiming in!
Sadly cohttp is (or was) performing so bad that it is kind of at odds with using it on a unikernel.
This one is quite a bit faster:
https://github.com/inhabitedtype/httpaf
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A note from our sponsor - InfluxDB
www.influxdata.com | 17 May 2025
Stats
Basic httpaf repo stats
3
542
0.0
12 months ago
inhabitedtype/httpaf is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of httpaf is OCaml.
Sponsored
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com