Alternatives
Products that do what Raid does
Open-source development workflow orchestrator
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Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com
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I've been frustrated with dependency hell and clutter on my VPS from dev, so I built Devbox: a lightweight, open-source CLI tool that spins up isolated development environments using Docker. Each project runs in its own container, but your code stays in simple flat folders on the host machine—no messing with volumes or sync issues. Environments are disposable, so you can nuke and recreate them without losing your work. Key features: - Instant setup: `devbox init my-project` and you're in a fresh env with `devbox shell`. - Configurable via JSON: Define packages, services, and more in a…
Sep 2025 · devbox.ar0.eu
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2022 · github.com
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Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch: As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere. So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code. We couldn’t find an easier way to do…
2022 · chunk.run
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A brief overview: 1. Workflows steps share a running context, with access to data they need require. 2. Steps in the workflow (builders) are chained together based on a topologically sorted built from the predefined input & output. 3. No servers spin up (like Conductor/Cadence) - the orchestrator is low level and meant for simplifying business logic. 4. Before/After listeners for each step. Would love to hear your thoughts and feedback!
2024 · github.com
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Hi HN! We’re Asankhaya and Rohan and we are building Patchwork. Patchwork tackles development gruntwork—like reviews, docs, linting, and security fixes—through customizable, code-first 'patchflows' using LLMs and modular code management steps, all in Python. Here's a quick overview video: https://youtu.be/MLyn6B3bFMU From our time building DevSecOps tools, we experienced first-hand the frustrations our users faced as they built complex delivery pipelines. Almost a third of developer time is spent on code management tasks[1], yet backlogs remain. Patchwork lets you combine…
2024 · github.com
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I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.
2023 · github.com
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Hi everyone - Looking for feedback for this new open source project we launched. It's called DevPod and it's built on the devcontainer.json standard to create reproducible dev environments. It lets you spin up dev environments in any infra, kind of like a Terraform but for dev environments. Compared to hosted services such as Github Codespaces, JetBrains Spaces, or Google Cloud Workstations, DevPod has the following advantages: - Open Source: DevPod is 100% open-source and extensible. A provider doesn’t exist? Just create your own. - Client-only: No need to install a server backend. DevPod…
2023 · github.com
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