Alternatives
Products that do what uvpip does
pip, but 10-100x faster - same commands, powered by uv
- 1CA
Curdling is a package installer for Python just like pip. However, its concurrent design makes it much much faster than pip.
2013 · clarete.github.io
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2025 · github.com
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actually, nothing special about this implementation. just another event loop written in rust for educational purposes and joy in tests it shows seamless migration from uvloop for my scraping framework https://github.com/BitingSnakes/silkworm with APIs (fastapi) it shows only one advantage: better p99, uvloop is faster about 10-20% in the synthetic run currently, i am forking on the win branch to give it windows support that uvloop lacks
Mar 2026 · github.com
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2018 · pypi.python.org
- 12PZ
2025 · github.com
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I've been running Pi using SmolVM to build SmolVM! SmolVM provides an abstraction over microVMs to easily create sandboxes for coding agents, OpenClaw, or just to build a custom harness. To use it, install using: curl -sSL https://celesto.ai/install.sh | bash and then run: smolvm pi start
May 2026 · github.com
- 15LA
Hey everyone, we just released a new version of our Infrastructure as Code Python SDK that now runs entirely on your machine - no account required. LaunchFlow extends OpenTofu to provide features like multi-environment support [1], autoconfigured infrastructure clients [2], and API release management [3]. Our goal is to provide a Python-native infrastructure toolkit that handles everything from automating your infrastructure to using it in your application code. You can use our library of preconfigured OpenTofu modules to add GCP / AWS infrastructure to your app with just a few lines of…
2024 · launchflow.com
- 16P0
Pipy 0.30 is now available. It adds improvements to a number of areas including better documentation, more core controls, new filters, enhanced Cache and Metrics API, and some bug fixes. The Pipy Runtime API has expanded its coverage of SSL engines, asynchronous file read/write operations. This release was truly a community effort and could not have been made possible without all of the hard work from everyone involved in active discussions and the Pipy project on GitHub.The Pipy community provides code submissions covering new functionality and bug fixes, documentation improvements,…
2022
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2016 · allowpip.com
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Hi, the main motivation of this small personal project is the ability to build Postgres-backed python apps that remain fully pip-installable despite the dependency, while saving your users any need to setup Postgres if they don't have it. It also helps me, as a developer, to not have to remember how to set up postgres, which I find is one main barrier to using it for small stuff. It's a little project of mine that may be helpful to more people. I'm curious to hear your feedback (ps. I know about SQLite, but sometimes you want/need to build against postgres)
2024 · github.com
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Claude Code's --dangerously-skip-permissions flag lets agents run without interruption, but it needs a sandboxed environment to be safe. dangerously is an open source tool that spins up an isolated container and runs Claude Code inside it — file system changes are restricted to your project directory. The new version detects your docker-compose.yml and spins up your full service stack alongside Claude Code, so the agent can test against real dependencies — databases, queues, whatever your app needs. npm install -g dangerously
Apr 2026 · github.com
- 22HT
I recently began using Python for AI projects and found Rye, which is an all-in-one tool that replaces Pyenv, Pip, and Venv, for a more project-centered approach to Python development (like Ruby or JavaScript or Rust). As someone who habitually writes tutorials for beginners, I wrote a series of articles for my mac.install.guide site advocating setting up Python projects using Rye. Am I leading beginners down the wrong path by suggesting Rye for Python tooling? Beginners often encounter READMEs and tutorials that show `pip install something` as a first step. That led me to the error "Command…
2024
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Started with a pure JS implementation (still the fastest JS image diff), but wanted to push performance further. I rewrote the core in Rust to make it the fastest open-source single-threaded image diff. On 4K images (5600×3200): ~327ms vs odiff's ~1215ms. Binaries are ~3x smaller too (~700KB vs ~2MB). The core insight: make the cold pass smarter to make the hot pass do less work. Instead of simple pixel equality, the cold pass scans dynamic-sized blocks and marks "problematic" ones - blocks that might contain differences. The hot pass then only runs YIQ perceptual diff and antialiasing check…
Dec 2025 · github.com
- 24IE
Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waiting for work. Most of my time went into optimizing this. At 8 GPUs that was basically the entire…
Jun 2026 · github.com
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