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

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  • MTuner

    MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms

  • For memory profiling, MTuner is a good tool (worked much better for me than Visual Studio's memory profiler), and it's even open source.

  • tract

    Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

  • If you can convert your model to ONNX, tract can work. I have also made somewhat good experiences with the tch torch bindings crate, though that's certainly a large dependency. The benefit is (mostly) seamless integration of the model you can train in python, with all the awesome tooling you get.

  • WorkOS

    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.

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  • ncurses-rs

    A low-level ncurses wrapper for Rust

  • Maybe this https://crates.io/crates/ncurses can help.

  • meta

    Discontinued 🦀 GitHub Actions for Rust - recipes, discussions, questions and ideas (by actions-rs)

  • I'm using Github actions quickstart (https://github.com/actions-rs/meta/blob/master/recipes/quickstart.md) to help me out.

  • paperclip

    WIP OpenAPI tooling for Rust. (by paperclip-rs)

  • There is https://github.com/paperclip-rs/paperclip which has a sorta WIP plugin for actix-web.

  • serde

    Serialization framework for Rust

  • If you want to store these elements in a file, you should start by looking at serde.

  • simple-struct

    Rust proc-macro that copies a struct definition as a simplified version.

  • You can look up the macro here, and a sample use here.

  • 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.

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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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