Alternatives
Products that do what Mininet-YAML – Create complex virtual networks through small YAML files does
Mininet-YAML is a powerful tool that simplifies the creation of virtual networks through YAML-configured topologies. By defining hosts, routers, and their interfaces in a YAML file, users can deploy complex network topologies directly on their machines within seconds. This tool integrates with Mininet and Open vSwitch to emulate network environments, allowing users to manage virtual nodes with the same granularity as physical hardware. Moreover, Mininet-YAML empowers users with advanced traffic engineering capabilities. They can effortlessly specify maximum transmission rates (goodput)…
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2021 · lowdefy.com
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2020 · starsheep.io
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Hello everyone! I am Jan, CTO and one of the creators of Pathway, the real-time data processing framework. I’m excited to share Pathway’s ready-to-use AI Pipelines, configurable with just YAML! These frameworks offer out-of-the-box solutions for AI search, RAG, and more—optimized for real-time indexing and in-memory processing. What makes it simple? YAML templates! The pipeline templates are fully customizable using YAMLs to fit your needs, from changing the data sources to the choice of the LLM model, all without touching Pathway’s Python code. Thanks to the Pathway data processing engine,…
2024 · pathway.com
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2017 · orc.network
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You build LLM applications with YAML files, that define an execution graph. Nodes can be either LLM API calls, regular function executions or other graphs themselves. Because you can nest graphs easily, building complex applications is not an issue, but at the same time you don't lose control. The YAML basically states what are the tasks that need to be done and how they connect. Other than that, you only write individual python functions to be called during the execution. No new classes and abstractions to learn.
2024 · github.com
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Hi again HN, we’re Arjun and Anirudh, founders of Signadot (YC W20). Signadot helps teams developing microservices test their changes using lightweight environments called “Sandboxes”. We use a relatively new approach, using traffic labeling (using OpenTelemetry) and request routing (using a Service Mesh) to isolate environments in a shared Kubernetes cluster. Today, we’re launching a new feature to help developers with local testing of microservices during the iterative development process. When we initially launched in September last year…
2023 · signadot.com
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2015 · gedrap.github.io
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Hey HN, We’re excited to announce Zant v0.1, an open-source TinyML SDK built in Zig, designed to optimize and deploy neural networks on resource-constrained devices. Unlike existing solutions, Zant focuses on performance, portability, and ease of integration, making it a strong alternative for anyone working on Edge AI and embedded ML. Why Zant? Most TinyML frameworks are either too high-level (requiring bloated runtimes) or too low-level (requiring extensive manual optimization). Zant bridges the gap by offering: - A lightweight but powerful code generation system to translate ML models…
2025 · github.com
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2018 · github.com
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Demo starts at 50m into the video. This was a bit terrifying to record because 2am the previous night everything was totally broken after a major refactor (so that we could add external LLM support as well as local GPUs). But pressure can be a useful force :-D We start with a stack deployed on my laptop without a GPU, pointing to together.ai so we can run open source LLMs easily without having to have access to a GPU. We show simple inference through the ChatGPT-like web interface (with users, sessions etc) and then simple drag'n'drop RAG. Then we show some helix apps defined as yaml: Marvin…
2024 · youtube.com
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2015 · github.com
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2024 · github.com
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Hello HN, I like Ansible as a tool for automation to perform tasks on multiple remote hosts. But like many of you, I'm sick of the custom YAML DSL that many of this kind of tools provide. How many times have we said "just give me a true scripting language!" ? That's why I started this project `tricorder` (as in Star Trek's tricorder, a simple device to do pretty much anything required by the plot). For now, it's only a tool to execute a command on multiple hosts (like ansible, but without the YAML) and returning the outputs as JSON so you can query it with other tools like `jq` in your bash…
2022
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I built MiniVim, a small and minimal Neovim configuration focused on keeping things simple and readable. The goal was to have a setup that: starts fast uses only essential plugins avoids heavy frameworks remains easy to understand and extend The structure is intentionally small: It’s not meant to compete with full Neovim distributions, but rather serve as a clean base configuration that can be extended gradually. I use it across multiple machines (laptop, WSL, and servers), so reproducibility and simplicity were priorities. Feedback is welcome.
Feb 2026 · github.com
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This tiny command line tool was created mainly because I have several apps that I run on my server and finding the right set of commands for deploying an app is a hassle. So this basically documents the set of commands for each of my projects, as well as gives me quick access to them. Just wanted to share it here in case anyone else might find it useful.
2022 · github.com
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2018 · medium.com
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2013 · github.com
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I've been playing with cross platform windows/linux Kubernetes clusters recently and have had endless problems with installer scripts misconfiguring networking by using the wrong NIC etc. I got frustrated with the tooling on windows to debug container networking so I built a tool that attempts to stitch together the HNS (Host Network Service) & HCS (Host Compute Service) resources into a tree that shows the relationship between configs. You can also search over it to find the networking impacting your containers or launch the windows built in packet capture tool to create a network…
2022 · github.com
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2020 · github.com
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2017 · github.com
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Me and a few friends have been working multy.dev, an open-source cloud agnostic API that makes it easy to deploy the same infrastructure to any cloud provider using native managed services. The motivation was the realisation that, even when using Terraform, migrating infrastructure code requires an end-to-end re-write. Even though most core resources are the same in any major cloud, developers need to learn a new provider to deploy the same infrastructure when moving providers. We currently support: - Networking (virtual_network, subnet, route_table, security_group, network_interface,…
2022
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2025 · github.com
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2020 · github.com
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