Alternatives
Products that do what Observyze does
Real-time LLM observability & guardrails — 100% free
- 1
Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
- 2
- 3
- 4
- 5
- 6PI
2020 · pixielabs.ai
- 7DF
Hi HN, We’re the team at MyDecisive.ai, and today we’re giving developers a peek at Octant — point-and-click control and visibility for your OpenTelemetry. You've likely felt the pain of the "observability tax," especially if you manage K8S clusters. The modern standard is to instrument everything with OpenTelemetry, but piping all those rich OTLP logs, metrics, and traces straight to a SaaS vendor (Datadog, Splunk, Honeycomb) gets expensive fast. You end up paying massive ingestion and storage costs for noisy, low-value data just so it's searchable when something breaks. With Octant you get…
Jun 2026
- 8
- 9MY
LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!
2023 · github.com
- 10LV
Hello HN! We've been working on a new hypervisor https://kwarantine.xyz that can run strongly isolated containers. This is still a WIP, but we wanted to give the community an idea about our approach, its benefits, and various use cases it unlocks. Today, VMs are used to host containers, and make up for the lack of strong security as well as kernel isolation in containers. This work adds this missing security piece in containers. We plan on launching a free private beta soon. Meanwhile, we'd deeply appreciate any feedback, and happy to answer any questions here or on our slack…
2021
- 11AM
I built this after one too many 3 AM wake-ups due to API outages. Existing solutions felt overpriced and overcomplicated for my small-scale needs. Key features: Simple, GitHub-inspired dashboard Free tier: 5-minute checks, email alerts, 30-day retention Premium tier: 1-minute checks, SMS alerts, unlimited retention Significantly more affordable than enterprise solutions Tech stack: Next.js frontend, Node.js backend, MongoDB, Stripe for payments. This is my attempt to solve the "sleep vs. downtime" dilemma for fellow indie hackers. I'd appreciate any feedback or feature suggestions. What's…
2024 · martinup.app
- 12
Full visibility into your AI spend, before it goes rogue
25d ago · neatproxy.com
- 13Q0
2023 · github.com
- 14CA
TL;DR: we built a framework-agnostic agent runtime that uses gVisor for isolation and runs on k8s. It’s open-source under AGPLv3 Recently we’ve been working on a customer support “AI assistant” - essentially an interactive knowledge base/L1 support but with an option to touch resources that belong to a customer it’s talking to. We found existing tools to be lacking in these aspects: 1. Fully intercepted i/o. We wanted to trace out LLM calls as well as any other networking calls attempted by the harness so that guardrails and audit trails apply to all current and future systems…
Jul 2026 · github.com
- 15IB
Hey HN! Over the past few weeks, I’ve been working on DataBridge, an open-source solution for data ingestion and querying across text, PDFs, images, and videos. In our latest update, we’ve added a fully local deployment option: - No internet required – Runs entirely offline. - Customizable Models – Supports any LLM and embedding model via Ollama (with options for any other private providers) - Extensibility – You can plug in your own models or tools easily. This local-first approach ensures better privacy, security, and flexibility, especially for teams dealing with sensitive data. You can…
2025 · github.com
- 16WI
At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk
Dec 2025 · laminar.sh
- 17ON
ABOUT ONEUPTIME: OneUptime (https://github.com/oneuptime/oneuptime) is the open-source alternative to DataDog + StausPage.io + UptimeRobot + Loggly + PagerDuty. It's 100% free and you can self-host it on your VM / server. OneUptime has Uptime Monitoring, Logs Management, Status Pages, Tracing, On Call Software, Incident Management and more all under one platform. Updates: Several new monitor options launched - You can now monitor your SSL Certificates and Servers (Processes running, Mem, CPU, Disk, etc) Evaluate monitor metrics over time. You can set up alerts for…
2024
- 18LO
Hey HN, Ola and Karthik here. We are working on Langtrace(https://github.com/Scale3-Labs/langtrace), an open source, open telemetry based SDK and monitoring/evaluations client for LLM based applications. The SDK generates OTEL standard spans and traces for popular LLMs like OpenAI, Anthropic and Cohere, popular frameworks like Langchain and LlamaIndex and vectorDBs like ChromaDB and Pinecone. The LLM monitoring/evaluations space has seen a number of products off late, both open source and closed source ones. But, a couple of things we have observed are: lack of…
2024
- 19FV
2025 · github.com
- 20IS
Hello HN, I've been working solo on Octelium for the past 5+ years now, (yes, you just read that correctly :|) along with a couple more sub-projects that will hopefully be released soon and I'd love to get some honest opinions from you. Octelium is simply an open source, self-hosted, unified platform for zero trust resource access that is primarily meant to be a modern alternative to corporate VPNs and remote access tools. It is built to be generic enough to not only operate as a ZTNA/BeyondCorp platform (i.e. alternative to Cloudflare Zero Trust, Google BeyondCorp, Zscaler Private…
2025 · github.com
- 21IB
Hi HN, I'd like to share a small Go utility I wrote called prxy. The idea was born out of my frustration with accessing my self-hosted services when I'm on the go. I use WireGuard to connect to my homelab, but I really dislike sending all my computer's traffic through my home network — it slows things down and is inconvenient. I wanted proper application-level split-tunneling. A tool I love, wireproxy, got me most of the way there by creating an HTTP proxy from a WireGuard peer. This is perfect for apps that let you configure a proxy. The problem was the other 10%: apps that don't. Think of…
2025 · github.com
- 22OS
Hi HN, we’re Dylan and Matthew, building sublingual (https://github.com/sublingual-ai/sublingual), an open-source LLM observability tool you can use with zero code changes. As developers focused on iterating and building features as fast as possible, we felt observability would’ve been a helpful tool to have, but we found existing solutions had too much overhead to set up. So we gave ourselves the challenge of building an observability tool that you can integrate without changing a single line of code in your project. How it works Run your python application as usual with…
2025 · github.com
- 23LO
Hey HN! I built Lumina – an open-source observability platform for AI/LLM applications. Self-host it in 5 minutes with Docker Compose, all features included. The Problem: I've been building LLM apps for the past year, and I kept running into the same issues: - LLM responses would randomly change after prompt tweaks, breaking things - Costs would spike unexpectedly (turns out a bug was hitting GPT-4 instead of 3.5) - No easy way to compare "before vs after" when testing prompt changes - Existing tools were either too expensive or missing features in free tiers What I Built: Lumina is…
Jan 2026 · github.com
- 24ML
Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the model runs so that it works perfectly on your device. Implements KV cache sizing, prefix caching, live RAM pressure management, context trimming, KV quantization, and more. Built a ton of features
Jun 2026 · autotunellm.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →