Pip Imports in Deno

deno_python 0.3.1 adds support for importing python pip packages directly in JavaScript! Fun and useful, slightly cursed.

Visit github.com ↗Alternativestop 13% of August 2023

In plain words

Pip Imports in Deno is a development tool that enables JavaScript developers using Deno to import Python pip packages directly into their code. Version 0.3.1 adds this capability, allowing cross-language package integration within the same project. The tool is designed for developers who need to leverage Python libraries while working in a JavaScript environment, combining functionality from both ecosystems in a single codebase.

written from the facts on this page · September 2026

More dev tools this month

the category →

Dograh▲592
The open source VAPI alternative
Dev tools · 25d ago · dograh.com
Meridian▲530
Don't let your work go unnoticed. Get promoted!
Dev tools · 20d ago · meridiona.com
x1▲516
Lovable for iPhone apps go from idea to App Store
Dev tools · 11d ago · x1.new
The GTM Co-Founder▲402
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
Open-Source eInk Bike Computer▲389
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Nuphos▲380
The AI-Native DevOps Workspace.
Dev tools · 24d ago · nuphos.ai

Launched alongside, August 2023

the whole month →

Resend▲1,326
Email for developers
Dev tools · 2023 · resend.com
STORI AI▲1,320
Your ideas become visually compelling branded social posts
AI · 2023 · storiai.com
Kombai▲1,080
A new AI model that you can prompt with UI designs
AI · 2023 · kombai.com
User Persona Generator▲1,014
Understand your audience without 50 interviews
AI · 2023 · founderpal.ai
Lottielab▲871
Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com
LC
LLMs can generate valid JSON 100% of the time▲854
Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com