Alternatives
Products that do what Wetlands – a lightweight Python library for managing Conda environments does
When building a plugin system for an application, avoiding dependency conflicts is critical. To address this, I created Wetlands – a lightweight Conda environment manager. Wetlands not only simplifies the creation of isolated Conda environments with specific dependencies, but also allows you to run arbitrary Python code within those environments and retrieve the results. It uses the multiprocessing.connection and pickle modules for inter-process communication. Additionally, one can easily use shared memory between the environments, making data exchange more efficient. Docs:…
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2017 · github.com
- 2MV
2022 · github.com
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Hi all! A little background: I've been working on natto.dev, a spatial environment for JavaScript. I'm really excited about new interfaces for code (leveraging metaphors we're good at, spatial reasoning, making state visible, design tools, etc). With all the buzz around PyScript, I discovered Pyodide and got it working inside natto. This Python version is a stripped down version of https://natto.dev (eg interactive outputs, multiplayer) so please check that out if this interests you. I'm excited to share this spatial environment for Python. Imagine Jupyter cells arranged on a 2D…
2022 · python.natto.dev
- 4DB
Hey HN, I’m Jimmy, co-founder of Dropbase (https://www.dropbase.io). We are an internal tools builder for Python developers. All you have to do is import any Python scripts/libraries, declare UI components, and layer app permissions so you can share them with others. We’re a middle ground between Airplane and Retool—simpler UI creation than Airplane, more code-centered than Retool. UI building is declarative and you can bind Python scripts/functions to UI components. You can write Python scripts/functions using our App Studio with support from a Python Language…
2023 · github.com
- 5PA
2011 · jitouch.com
- 6HA
2017 · github.com
- 7IB
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com
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2019 · github.com
- 9PD
We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…
Oct 2025 · github.com
- 10SA
My weekend project sendenv is a CLI tool that lets you share environment variables securely with someone else. It is built on top of magic-wormhole which allows for safe, account-free data transfer. When you send variables using sendenv, it creates a one-time code. You give this code to the person who needs the variables. They use the code in their shell to load the variables. This is handy for quickly setting up new team members or copying local environment variables to another system. Its currently in alpha obviously, but the core functionality works (I have tested sending vaults from a…
2024 · github.com
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Hey HN! I've built this cli tool to manage env variables of a project, but mostly for fun and to try out Rust and the clap crate. I had this idea when I made a big mistake and broke some production stuff because I had a very messy .env file laying around in my project. I was implementing new features for one of my projects and in my .env file I had the test database url commented out and the production one was not. Long story short, I applied migrations to the production database instead of my local test one and broke a lot of production APIs :') I wanted a tool that could easily help me…
2024 · github.com
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Simple light-weight package manager and build system written in C for c/c++ projects - mainak55512/flint
8d ago · github.com
- 13PS
Pipask is a drop-in replacement for pip that addresses a serious security flaw: standard pip executes arbitrary code from source distributions during dependency resolution, without warning or consent. Pipask retrieves metadata through PyPI's JSON API first, then checks repository popularity, download counts, package age, and known vulnerabilities before allowing installation. It presents you with a pretty report and asks for you consent with installation, giving you control over what code runs on your system. More details in the intro blog post:…
2025 · github.com
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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
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I am excited to share pippy, which allows users to create configurable pipelines using Github Actions. If you have used Azure pipelines, in summary, this would be Azure Pipelines meets Github Actions. Cloud version: https://app.pippy.dev/login (closed beta) I am also open sourcing command line version: https://github.com/nixmade/pippy. Key features: - Automatic Rollback - Datadog Monitoring - Pause/Resume The product is built using open source orchestrator. Orchestrator: https://github.com/nixmade/orchestrator Orchestrator allows…
2024 · pippy.dev
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https://peterkelly.github.io/rex/
20d ago · github.com
- 17AR
2017 · github.com
- 18SA
2025 · slipstream.readthedocs.io
- 19MD
Dec 2025 · github.com
- 20LD
Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…
2025 · github.com
- 21SW
A lightweight mac app for managing environment variables locally. No auth, no network requests, no usage tracking... just files on your machine.
2023 · shello.app
- 22PW
2024 · docs.airbyte.com
- 23GE
2020 · github.com
- 24IB
I spent a long time working in the payments industry, specifically on a rather niche reporting/aggregation platform with spiky workloads that were not easily parallelized. To pump as much data through our pipeline as possible, we had to rely on complex locking schemes across half a dozen or so not-so-micro services - keeping a clear mental picture of how the services interacted for a given data source was a major headache. This problem always intrigued me, even after I no longer worked at the company, and lead to the development of Wool. If you've worked with frameworks like Ray or…
Mar 2026 · github.com
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