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

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  • tracing

    Application level tracing for Rust.

    Is there a standard crate / tool / practice for simplistic logging with Tokio? I presume it's tokio-tracing but there seems to be many bells and whistles when I'm looking for what amounts to essentially an async stderr with concurrent buffering.

  • Rocket

    A web framework for Rust.

    I've been reading through the rocket.rs code to try and figure this out, but if anyone knows how this works for actix web, it would be just as helpful.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • ggez

    Rust library to create a Good Game Easily

  • diesel

    A safe, extensible ORM and Query Builder for Rust

    The Diesel getting started guide is explicitly written for using PostgreSQL as your database system. It is using some parts of SQL that are not supported by SQLite. You can follow the equivalent SQLite code by looking at this diesel example. In the concrete case that error is caused by the fact that only quite new SQLite versions support returning clauses. These support is behind an off-by-default feature flag and requires using an up to date SQLite version.

  • micrograd

    A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

    I've been trying to reimplement Karpathy's micrograd library in rust as a fun side project.

  • dylint

    A tool for running Rust lints from dynamic libraries

    Apart from clippy (which uses rustc-internal APIs), there are two other projects which can be used to implement lints: rust-analyzer can be extended with more diagnostics, and dylint provides an interface to run custom lints for Rust.

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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