nowfound

Alternatives

Products that do what Ktop – a themed terminal system monitor with charts and OOM tracking does

Built this because I wanted nvtop + btop in one view while tuning local hybrid LLM inference. Supports themes, charts, and OOM kill tracking. Written in Python.

  1. 1H2
  2. 2

    Monitor K8s applications effortlessly, at scale

    2022

  3. 3
    Radar399

    The missing open-source Kubernetes UI

    May 2026 · radarhq.io

  4. 4MV

    Dec 2025 · github.com

  5. 5WR

    Hey HN! We’re open-sourcing highlight.io (https://github.com/highlight/highlight), a session replay and error monitoring tool. Highlight.io gives you a high-precision video-like replay of what users are doing when an error or exception occurs in your web app, along with a full-fledged error monitoring experience (similar to bugsnag, rollbar, etc..). The main value prop of highlight.io is that we help you understand the full context surrounding an error and allow you to drill down to the code path that a user invoked (i.e user clicked button X, sent network request Y, and…

    2023 · github.com

  6. 6AO

    Hey HN. We’re Jay and Vadim from Highlight.io (https://highlight.io). We’re building an open source [1] monitoring platform for web applications. Today we’re excited to be sharing a performance tool we’ve been working on, which helps you inspect the latency of code execution from the client to the server. As engineers at past startups, we often had to debug slow queries, poor load times, inconsistent errors, etc... While tools like Jaegar [2] helped us inspect server-side performance, we had no way to tie user events to the traces we were inspecting. In other words, although we had…

    2024 · github.com

  7. 7
    VoltOps111

    Trace, debug, and monitor AI agents apps in n8n-style

    2025

  8. 8WB

    Hey hn! I'm one of the co-founders of highlight.io, an open source monitoring tool. Today we're sharing a ClickHouse-based logging solution we've been working on. We wanted to showcase how we built it and share how you could try it out to give feedback. Since we started working on highlight.io, we've been hyper-focused on "cohesion", or ensuring that when you install your monitoring stack, all of the resources in that stack (user interactions, requests, traces, logs, etc.) are connected in a consumable way. We've written up more about our philosophy on this here [1]. We started building…

    2023 · github.com

  9. 9OF

    I made a terminal pager that can be used instead of more, less, tail -f. It has a mode that distinguishes between headers and columns.

    2023 · github.com

  10. 10

    World’s most powerful file comparison app

    2021

  11. 11HG

    Tabs, splits, and tmux work fine until you have several projects open with logs, tests, and long-running shells. I kept rebuilding context instead of resuming work. Horizon puts shells on an infinite canvas. You can arrange them into workspaces and reopen later with layout, scrollback, and history intact. Built in 3 days with Claude/Codex, dogfooding the workflow as I went. Feedback and contributions welcome.

    Mar 2026 · github.com

  12. 12
    Monitoror105

    Unified monitoring wallboard

    2020

  13. 13LH

    I work on inference scheduling — KV cache-aware routing, load balancing across GPU workers, that kind of thing. I wanted something like k9s but for my inference stack. Nothing existed, so I built it. llmtop is a real-time terminal dashboard for LLM inference workers. It scrapes the Prometheus /metrics endpoints that vLLM, SGLang, and LMCache already expose and shows everything in one view: KV cache usage, queue depth, TTFT/ITL latencies (P50/P99 from histogram buckets), token throughput, prefix cache hit rates. Color-coded — red means go fix it. ``` brew install…

    Mar 2026 · github.com

  14. 14UA

    The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…

    Apr 2026 · systalyze.com

  15. 15KC
  16. 16AO

    Hello Everyone, I'm excited to introduce a new open-source observability platform and would love to hear your feedback. We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem. - Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts. - The UI not…

    2023 · github.com

  17. 17SA
  18. 18AP

    Hey HN, I made a Windows process monitor for app developers and advanced end users. I wanted a taskmgr system-level graph view per app. Windows procmon, while capable, has always been tedious to set up (esp. if not used often). That's pretty much the whole idea behind the app--to simplify app-level monitoring, to make it easy. I hope some of you find it useful!

    2025 · pragmar.com

  19. 19HF
  20. 20SO

    ServiceRadar is an open-source platform for distributed, secure network management and observability, scaling to 100k+ devices. Born from frustration with complex traditional NMS tools like Zabbix, it bridges legacy (SNMP/syslog) and modern (gNMI, OTLP) protocols for cloud-native environments. We built ServiceRadar to simplify monitoring hybrid telecom networks, evolving it into a Kubernetes-native solution with Helm and Docker support. It uses mTLS with SPIFFE/SPIRE, NATS JetStream for event streaming (90M+ EPS), and SRQL for intuitive queries. Integrated with OpenTelemetry,…

    Oct 2025 · github.com

  21. 21WO

    We have been using GitOps internally for years, to leverage infrastructure as code for our Kubernetes clusters. With the recent release of the GitOps mode for Glasskube, we decided to open source our GitOps template. This template helps you get started with GitOps in minutes instead of hours. Previously it was always a struggle to setup your Kubernetes Cluster with the GitOps approach leading to teams manually deploying manifests and helm charts which results in Kubernetes clusters that are hard to maintain. As of today git is still the most popular solution for managing your Kubernetes…

    2024 · github.com

  22. 22CT
  23. 23TS

    It is not top/htop replacement because of historical snapshots which can help you to find problems back in time

    2023 · github.com

  24. 24HT

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