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Products that do what GitHub does
All 7 resilience patterns in one Python decorator
- 1FD
Hi! I've built this because I kept reaching for Celery for simple scheduled tasks and it felt like overkill. I just needed "run this function every hour" or "daily at 9am", not distributed workers. So it's decorators for scheduling (@scheduler.every(5).minutes, @scheduler.daily.at("09:00")), state saves to JSON so jobs survive restarts, and there's an optional FastAPI dashboard if you want to see what's running. No Redis, no message broker, runs in-process with your app. Trade-off is it's single process only — if you need distributed workers, stick with Celery.
Jan 2026 · github.com
- 2PC
Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…
2025 · github.com
- 3PA
2025 · github.com
- 4D0
deptry 0.14.0 was just released, bringing significant speed improvements: It is now up to 10 times faster than the previous release! For those unfamiliar with deptry; deptry is a command line tool to check for issues with dependencies in a Python project, such as unused or missing dependencies. GitHub: https://github.com/fpgmaas/deptry For some benchmarks of the new release, see the release notes: https://github.com/fpgmaas/deptry/releases/tag/0.14.0 The performance improvement was achieved by leveraging Rust to parse the AST and extract…
2024 · github.com
- 5
- 6PS
We've all written and rewritten code that catches exceptions and then retries to do the same procedure again. Here's a python library to help you eliminate this code from your business logic, keeping your code cleaner and your fingers more energetic.
2013 · github.com
- 7PS
2020 · pyrustic.github.io
- 8AD
Greetings! A 2.5 weekends project to teach myself newer Python features (>= 3.10). Conditions are written as Lambda expressions that annotate parameters and return types, and coexist with type annotations. Symbols to share values between conditions are also supported to a limited extend.
2022 · github.com
- 9AP
Hi HN ! Alex here. I'm excited to show you Asyncpal (https://github.com/pyrustic/asyncpal), a Python library for parallelism [1] and preemptive concurrency [2] tailored for sporadic workloads [3]. I've been working on a private project where it would be convenient to have asynchronous versions of some operations without using `async/await` [4]. Besides `async/await`, which represents cooperative concurrency via the `asyncio` package, Python also provides preemptive concurrency through its `threading` package. Additionally, the `concurrent.futures` package builds…
2024 · github.com
- 10PP
Sharing this side project of mine, if you had issues while using multiprocess in python when collecting metrics this might interest you :) The library offers the same interface between single process & multi process, the only difference is doing a function call specifying which backend to use and everything will work out of the box. It supports default labels & partial labels so that you can build your child instances incrementally. It strives to be flexible & well documented. There is also an experimental backend for it written in Rust as a way to support asyncio applications, more in the…
2023 · github.com
- 11DO
I kept seeing every npm/pnpm/yarn/bun/uv supply chain post end with the same advice (set a minimum release age, turn off install scripts), and while I know cooldowns are "controversial", they do work. But even if you convince people that they should set cooldowns, it seems many don't end up following through, not sure why, maybe because it means hand-editing five config files in five formats with five different time units, or perhaps the "it won't happen to me" syndrome (or "I'll do it later, it seems complicated" where it's actually very simple). So I created a tool that…
Jun 2026 · github.com
- 12AP
2021 · github.com
- 13PA
I’ve been working on Pyra for the past few months and wanted to start sharing it in public. Right now it’s focused on the core package/project management workflow: Python installs, init, add/remove, lockfiles, env sync, and running commands in the managed env. The bigger thing I’m exploring is whether Python could eventually support a more cohesive toolchain story overall, more in the direction of Bun: not just packaging, but maybe over time testing, tasks, notebooks, and other common workflow tools feeling like one system instead of a bunch of separate pieces. It’s still early,…
Apr 2026 · github.com
- 14AR
2017 · github.com
- 15PP
2019 · pydist.com
- 16OA
https://github.com/gugarosa/opytimizer Did you ever reach a bottleneck in your computational experiments? Are you tired of selecting suitable parameters for a chosen technique? If yes, Opytimizer is the real deal! This package provides an easy-to-go implementation of meta-heuristic optimizations. From agents to search space, from internal functions to external communication, we will foster all research related to optimizing stuff. Use Opytimizer if you need a library or wish to: - Create your optimization algorithm; - Design or use pre-loaded optimization tasks; -…
2021
- 17PE
2014 · pyscaffold.readthedocs.org
- 18PT
2016 · github.com
- 19MT
This was by far the most common missing feature of the library since my first post, so I'm really happy I managed to figure it out. See the release for some code examples and a detailed changelog, and most importantly, have a great day!
2022 · github.com
- 20
- 21RA
OP here. I built RepoReaper to solve code context fragmentation in RAG. Unlike standard chat-with-repo tools, it simulates a senior engineer's workflow: it parses Python AST for logic-aware chunking, uses a ReAct loop to JIT-fetch missing file dependencies from GitHub, and employs hybrid search (BM25+Vector). It also generates Mermaid diagrams for architecture visualization. The backend is fully async and persists state via ChromaDB. Link: https://github.com/tzzp1224/RepoReaper
Jan 2026 · github.com
- 22HA
Hey HN. I'm an engineering student at Waterloo building stateful AI agents, and I kept hitting the same wall: whenever my Python scripts crashed or dropped a connection, the underlying Puppeteer or Ollama processes would just sit there orphaned, eating RAM until the node OOM-killed itself. Standard load balancers break sticky sessions, and passive HTTP timeouts are too slow for cleanup. I couldn't find a good local process pool that actually cleaned up dead stateful sessions reliably, so I built Herd in Go. It uses a persistent stream (gRPC/Unix sockets) strictly as a dead-man's switch.…
Mar 2026
- 23LR
2017 · github.com
- 24
Build, schedule, run, and monitor Python automation.
Jul 2026 · pyorchestrator.github.io
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