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poetry2nix sorta works (example) but I wish pip in a venv or virtualenv (or even with just --user) also "just worked" without having to introduce dynamic linking explanations to the ML developer.
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nix-direnv
A fast, persistent use_nix/use_flake implementation for direnv [maintainer=@Mic92 / @bbenne10]
Here is my flake: https://gitlab.inria.fr/robotlearn/rl-audio-nav/-/blob/master/flake.nix And here is the .envrc file that I use with nix-direnv: https://gitlab.inria.fr/robotlearn/rl-audio-nav/-/blob/master/.envrc
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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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Hey, I had the same issues as you. Therefore I created the following nix flake: https://github.com/Quoteme/mach-nix-template
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distrobox
Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox
I do the opposite, with Distrobox on NixOS.
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I use this setup for my python development : https://github.com/shahruk10/nixshells
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My recommendation would be to use poetry (https://python-poetry.org/) to setup your python environment. Use nix to install poetry, and then poetry to manage your python project – under the hood it'll create a virtual environment in your project directory and get around the immutable nature of the nix store. I'm the developer of devbox (https://github.com/jetpack-io/devbox) and a lot of our users that use python, have had success with that approach.
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My recommendation would be to use poetry (https://python-poetry.org/) to setup your python environment. Use nix to install poetry, and then poetry to manage your python project – under the hood it'll create a virtual environment in your project directory and get around the immutable nature of the nix store. I'm the developer of devbox (https://github.com/jetpack-io/devbox) and a lot of our users that use python, have had success with that approach.
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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.
